Publications | Northeastern University Human-Centered Artificial Intelligence Lab (NEU HAI)

2025

CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Detection of Cancer Treatment-Induced Cardiotoxicity

Siyi Wu, Weidan Cao, Shihan Fu, Bingsheng Yao, Ziqi Yang, Changchang Yin, Varun Mishra, and 3 more authors

In CHI 2025, 2025

Project
Characterizing LLM-Empowered Personalized Story Reading and Interaction for Children: Insights From Multi-Stakeholders’ Perspective

Jiaju Chen, Minglong Tang, Yuxuan Lu, Bingsheng Yao, Elissa Fan, Xiaojuan Ma, Ying Xu, and 3 more authors

In CHI 2025, 2025

Project
RECOVER: Designing a Large Language Model-based Remote Patient Monitoring System for Postoperative GI Cancer Care

Ziqi Yang, Yuxuan Lu, Jennifer Bagdasarian, Vedant Das Swain, Ritu Agarwal, Collin Campbell, Waddah Al-Refaire, and 5 more authors

In arXiv, 2025

Project arXiv
More Modality, More AI: Exploring Design Opportunities of AI-Based Multi-modal Remote Monitoring Technologies for Early Detection of Mental Health Sequelae in Youth Concussion Patients

Bingsheng Yao, Menglin Zhao, Yuling Sun, Weidan Cao, Changchang Yin, Stephen Intille, Xuhai Xu, and 3 more authors

arXiv preprint arXiv:2502.03732, 2025

2024

More Samples or More Prompt Inputs? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering

Bingsheng Yao, Guiming Chen, Ruishi Zou, Yuxuan Lu, Jiachen Li, Shao Zhang, Sijia Liu, and 2 more authors

In Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Abs arXiv PDF

While most existing works on LLM prompt-engineering focus only on how to select a better set of data samples inside one single prompt input (In-Context Learning or ICL), why can’t we design and leverage multiple prompt inputs together to further improve the LLM performance? In this work, we propose In-Context Sampling (ICS), a low-resource LLM prompt-engineering technique to produce the most confident prediction results by optimizing the construction of multiple ICL prompt inputs. Extensive experiments with two SOTA LLMs (FlanT5-XL and Mistral-7B) on three NLI datasets (e-SNLI, Multi-NLI, and ANLI) illustrate that ICS can consistently enhance LLM’s prediction performance and confidence. An ablation study suggests that a diversity-based ICS strategy may further improve LLM’s performance, which sheds light on a new yet promising future research direction.
Exploring Parent’s Needs for Children-Centered AI to Support Preschoolers’ Storytelling and Reading Activities

Yuling Sun, Jiali Liu, Bingsheng Yao, Jiaju Chen, Dakuo Wang, Xiaojuan Ma, Yuxuan Lu, and 2 more authors

Proc. ACM Hum.-Comput. Interact., 2024

Project Abs arXiv

Interactive storytelling is vital for preschooler development. While children’s interactive partners have traditionally been their parents and teachers, recent advances in artificial intelligence (AI) have sparked a surge of AI-based storytelling technologies. As these technologies become increasingly ubiquitous in preschoolers’ lives, questions arise regarding how they function in practical storytelling scenarios and, in particular, how parents, the most critical stakeholders, experience and perceive these technologies. This paper investigates these questions through a qualitative study with 17 parents of children aged 3-6. Our findings suggest that even though AI-based storytelling technologies provide more immersive and engaging interaction, they still cannot meet parents’ expectations due to a series of interactive, functional, and algorithmic challenges. We elaborate on these challenges and discuss the possible implications of future AI-based storytelling technologies for preschoolers. We conclude by highlighting the design implications for future AI-based storytelling technologies.
StorySpark: Expert-Annotated QA Pairs with Real-World Knowledge for Children Storytelling

Jiaju Chen, Yuxuan Lu, Shao Zhang, Bingsheng Yao, Yuanzhe Dong, Ying Xu, Yunyao Li, and 3 more authors

In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Project Abs arXiv PDF

Interactive story reading is a common parent-child activity, where parents expect to teach both language skills and real-world knowledge beyond the story. While increasing storytelling and reading systems have been developed for this activity, they often fail to infuse real-world knowledge into the conversation. This limitation can be attributed to the existing question-answering (QA) datasets used for children’s education, upon which the systems are built, failing to capture the nuances of how education experts think when conducting interactive story reading activities. To bridge this gap, we design an annotation framework, empowered by existing knowledge graph to capture experts’ annotations and thinking process, and leverage this framework to construct StorySparkQA dataset, which comprises 5, 868 expert-annotated QA pairs with real-world knowledge. We conduct automated and human expert evaluations across various QA pair generation settings to demonstrate that our StorySparkQA can effectively support models in generating QA pairs that target real-world knowledge beyond story content. StorySparkQA is available at https://huggingface.co/datasets/NEU-HAI/StorySparkQA.
Designing and Evaluating Sampling Strategies for Multiple-Forecast Visualization (MFV)

Ruishi Zou, Siyi Wu, Bingsheng Yao, Dakuo Wang, and Lace Padilla

arXiv preprint arXiv:2411.02576, 2024

Abs PDF

With the growing availability of quantitative forecasts from various sources, effectively communicating these multiple forecasts has become increasingly crucial. Recent advances have explored using Multiple-Forecast Visualizations (MFVs) to display multiple time-series forecasts. However, how to systematically sample from a pool of disparate forecasts to create MFVs that effectively facilitate decision-making requires further investigation. To address this challenge, we examine two cluster-based sampling strategies for creating MFVs and three designs for visualizing them to assist people in decision-making with forecasts. Through two online studies (Experiment 1 n = 711 and Experiment 2 n = 400) and over 15 decision-making-related metrics, we evaluated participants’ perceptions of eight visualization designs using historical COVID-19 forecasts as a test bed. Our findings revealed that one sampling method significantly enhanced participants’ ability to predict future outcomes, thereby reducing their surprise when confronted with the actual outcomes. Importantly, since no approach excels in all metrics, we advise choosing different visualization designs based on communication goals. Furthermore, qualitative response data demonstrate a correlation between response consistency and people’s inclination to extrapolate from the forecast segment of the visualization. This research offers insights into how to improve visualizations of multiple forecasts using an automated and empirically validated technique for selecting forecasts that outperform common techniques on several key metrics and reduce overplotting.
Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults

Ziqi Yang, Xuhai Xu, Bingsheng Yao, Ethan Rogers, Shao Zhang, Stephen Intille, Nawar Shara, and 2 more authors

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2024
" I Wish There Were an AI": Challenges and AI Potential in Cancer Patient-Provider Communication

Ziqi Yang, Xuhai Xu, Bingsheng Yao, Jiachen Li, Jennifer Bagdasarian, Guodong Gao, and Dakuo Wang

arXiv preprint arXiv:2404.13409, 2024
Human and LLM-Based Voice Assistant Interaction: An Analytical Framework for User Verbal and Nonverbal Behaviors

Szeyi Chan, Shihan Fu, Jiachen Li, Bingsheng Yao, Smit Desai, Mirjana Prpa, and Dakuo Wang

arXiv preprint arXiv:2408.16465, 2024

2023

Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks

Yuxuan Lu, Bingsheng Yao, Shao Zhang, Yun Wang, Peng Zhang, Tun Lu, Toby Jia-Jun Li, and 1 more author

arXiv preprint arXiv:2311.09825, 2023

Project Abs arXiv PDF

Large Language Models (LLMs) have demonstrated considerable advances, and several claims have been made about their exceeding human performance. However, in real-world tasks, domain knowledge is often required. Low-resource learning methods like Active Learning (AL) have been proposed to tackle the cost of domain expert annotation, raising this question: Can LLMs surpass compact models trained with expert annotations in domain-specific tasks? In this work, we conduct an empirical experiment on four datasets from three different domains comparing SOTA LLMs with small models trained on expert annotations with AL. We found that small models can outperform GPT-3.5 with a few hundreds of labeled data, and they achieve higher or similar performance with GPT-4 despite that they are hundreds time smaller. Based on these findings, we posit that LLM predictions can be used as a warmup method in real-world applications and human experts remain indispensable in tasks involving data annotation driven by domain-specific knowledge.

Malicious Selling Strategies in Livestream E-commerce: A Case Study of Alibaba’s Taobao and ByteDance’s TikTok

Qunfang Wu, Yisi Sang, Dakuo Wang, and Zhicong Lu

ACM Transactions on Computer-Human Interaction, 2023

Abs Bib

@article{wu2023malicious,
  title = {Malicious Selling Strategies in Livestream E-commerce: A Case Study of Alibaba’s Taobao and ByteDance’s TikTok},
  author = {Wu, Qunfang and Sang, Yisi and Wang, Dakuo and Lu, Zhicong},
  journal = {ACM Transactions on Computer-Human Interaction},
  volume = {30},
  number = {3},
  pages = {1--29},
  year = {2023},
  publisher = {ACM New York, NY},
  img = {/assets/img/9.jpg}
}

Exploring the Use of Personalized AI for Identifying Misinformation on Social Media

Farnaz Jahanbakhsh, Yannis Katsis, Dakuo Wang, Lucian Popa, and Michael Muller

CHI’23, 2023

Abs Bib

@article{jahanbakhsh2023exploring,
  title = {Exploring the Use of Personalized AI for Identifying Misinformation on Social Media},
  author = {Jahanbakhsh, Farnaz and Katsis, Yannis and Wang, Dakuo and Popa, Lucian and Muller, Michael},
  journal = {CHI'23},
  year = {2023},
  img = {/assets/img/9.jpg}
}

Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design

Michelle S Lam, Zixian Ma, Anne Li, Izequiel Freitas, Dakuo Wang, James A Landay, and Michael S Bernstein

CHI’23, 2023

Abs Bib

@article{lam2023model,
  title = {Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design},
  author = {Lam, Michelle S and Ma, Zixian and Li, Anne and Freitas, Izequiel and Wang, Dakuo and Landay, James A and Bernstein, Michael S},
  journal = {CHI'23},
  year = {2023},
  img = {/assets/img/9.jpg}
}

SHAI 2023: Workshop on Designing for Safety in Human-AI Interactions

Nitesh Goyal, Sungsoo Ray Hong, Regan L Mandryk, Toby Jia-Jun Li, Kurt Luther, and Dakuo Wang

In Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Abs Bib

@inproceedings{goyal2023shai,
  title = {SHAI 2023: Workshop on Designing for Safety in Human-AI Interactions},
  author = {Goyal, Nitesh and Hong, Sungsoo Ray and Mandryk, Regan L and Li, Toby Jia-Jun and Luther, Kurt and Wang, Dakuo},
  booktitle = {Companion Proceedings of the 28th International Conference on Intelligent User Interfaces},
  pages = {199--201},
  year = {2023},
  img = {/assets/img/9.jpg}
}

Are human explanations always helpful? towards objective evaluation of human natural language explanations

Bingsheng Yao, Prithviraj Sen, Lucian Popa, James Hendler, and Dakuo Wang

ACL’23, 2023

Abs Bib

@article{yao2023human,
  title = {Are human explanations always helpful? towards objective evaluation of human natural language explanations},
  author = {Yao, Bingsheng and Sen, Prithviraj and Popa, Lucian and Hendler, James and Wang, Dakuo},
  journal = {ACL'23},
  year = {2023},
  img = {/assets/img/9.jpg}
}

Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture

Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, and 3 more authors

EMNLP’23, 2023

Abs Bib

@article{yao2023beyond,
  title = {Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture},
  author = {Yao, Bingsheng and Jindal, Ishan and Popa, Lucian and Katsis, Yannis and Ghosh, Sayan and He, Lihong and Lu, Yuxuan and Srivastava, Shashank and Hendler, James and Wang, Dakuo},
  journal = {EMNLP'23},
  year = {2023},
  img = {/assets/img/9.jpg}
}

Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children’s Fairy Tales

Paulina Toro Isaza, Guangxuan Xu, Akintoye Oloko, Yufang Hou, Nanyun Peng, and Dakuo Wang

ACL’23, 2023

Abs Bib

@article{isaza2023fairy,
  title = {Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales},
  author = {Isaza, Paulina Toro and Xu, Guangxuan and Oloko, Akintoye and Hou, Yufang and Peng, Nanyun and Wang, Dakuo},
  journal = {ACL'23},
  year = {2023},
  img = {/assets/img/9.jpg}
}

Human-Centered Design and Evaluation of AI-Empowered Clinical Decision Support Systems: A Systematic Review

Liuping Wang, Zhan Zhang, Dakuo Wang, Weidan Cao, Xiaomu Zhou, Ping Zhang, Jianxing Liu, and 2 more authors

Frontiers in Computer Science, 2023

Abs Bib

@article{wang2023human,
  title = {Human-Centered Design and Evaluation of AI-Empowered Clinical Decision Support Systems: A Systematic Review},
  author = {Wang, Liuping and Zhang, Zhan and Wang, Dakuo and Cao, Weidan and Zhou, Xiaomu and Zhang, Ping and Liu, Jianxing and Fan, Xiangmin and Tian, Feng},
  journal = {Frontiers in Computer Science},
  volume = {5},
  pages = {57},
  year = {2023},
  publisher = {Frontiers},
  img = {/assets/img/9.jpg}
}

Deep Learning–Assisted Gait Parameter Assessment for Neurodegenerative Diseases: Model Development and Validation

Yu Jing, Peinuan Qin, Xiangmin Fan, Wei Qiang, Zhu Wencheng, Wei Sun, Feng Tian, and 1 more author

Journal of Medical Internet Research, 2023

Abs Bib

@article{jing2023deep,
  title = {Deep Learning--Assisted Gait Parameter Assessment for Neurodegenerative Diseases: Model Development and Validation},
  author = {Jing, Yu and Qin, Peinuan and Fan, Xiangmin and Qiang, Wei and Wencheng, Zhu and Sun, Wei and Tian, Feng and Wang, Dakuo},
  journal = {Journal of Medical Internet Research},
  volume = {25},
  pages = {e46427},
  year = {2023},
  publisher = {JMIR Publications Toronto, Canada},
  img = {/assets/img/9.jpg}
}

Mental-LLM: Leveraging large language models for mental health prediction via online text data

Xuhai Xu, Bingshen Yao, Yuanzhe Dong, Hong Yu, James Hendler, Anind K Dey, and Dakuo Wang

arXiv preprint arXiv:2307.14385, 2023

Abs Bib

@article{xu2023mental,
  title = {Mental-LLM: Leveraging large language models for mental health prediction via online text data},
  author = {Xu, Xuhai and Yao, Bingshen and Dong, Yuanzhe and Yu, Hong and Hendler, James and Dey, Anind K and Wang, Dakuo},
  journal = {arXiv preprint arXiv:2307.14385},
  year = {2023},
  img = {/assets/img/9.jpg}
}

PaniniQA: Enhancing Patient Education Through Interactive Question Answering

Pengshan Cai, Zonghai Yao, Fei Liu, Dakuo Wang, Meghan Reilly, Huixue Zhou, Lingxi Li, and 4 more authors

TACL, 2023

Abs Bib

@article{cai2023paniniqa,
  title = {PaniniQA: Enhancing Patient Education Through Interactive Question Answering},
  author = {Cai, Pengshan and Yao, Zonghai and Liu, Fei and Wang, Dakuo and Reilly, Meghan and Zhou, Huixue and Li, Lingxi and Cao, Yi and Kapoor, Alok and Bajracharya, Adarsha and others},
  journal = {TACL},
  year = {2023},
  img = {/assets/img/9.jpg}
}

Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Model

Ziqi Yang, Xuhai Xu, Bingsheng Yao, Shao Zhang, Ethan Rogers, Stephen Intille, Nawar Shara, and 2 more authors

arXiv preprint arXiv:2309.09357, 2023

Abs Bib

@article{yang2023talk2care,
  title = {Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Model},
  author = {Yang, Ziqi and Xu, Xuhai and Yao, Bingsheng and Zhang, Shao and Rogers, Ethan and Intille, Stephen and Shara, Nawar and Wang, Dakuo and others},
  journal = {arXiv preprint arXiv:2309.09357},
  year = {2023},
  img = {/assets/img/9.jpg}
}

" It’s a Fair Game”, or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents

Zhiping Zhang, Michelle Jia, Bingsheng Yao, Sauvik Das, Ada Lerner, Dakuo Wang, Tianshi Li, and 1 more author

arXiv preprint arXiv:2309.11653, 2023

Abs Bib

@article{zhang2023s,
  title = {" It's a Fair Game'', or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents},
  author = {Zhang, Zhiping and Jia, Michelle and Yao, Bingsheng and Das, Sauvik and Lerner, Ada and Wang, Dakuo and Li, Tianshi and others},
  journal = {arXiv preprint arXiv:2309.11653},
  year = {2023},
  img = {/assets/img/9.jpg}
}

Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis

Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu, Bingsheng Yao, Melanie Tory, and 4 more authors

arXiv preprint arXiv:2309.12368, 2023

Project Abs Bib

@article{zhang2023rethinking,
  title = {Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis},
  author = {Zhang, Shao and Yu, Jianing and Xu, Xuhai and Yin, Changchang and Lu, Yuxuan and Yao, Bingsheng and Tory, Melanie and Padilla, Lace M and Caterino, Jeffrey and Zhang, Ping and others},
  journal = {arXiv preprint arXiv:2309.12368},
  year = {2023},
  img = {/assets/img/9.jpg},
  project = {SEPSIS}
}

LLM-Powered Conversational Voice Assistants: Interaction Patterns, Opportunities, Challenges, and Design Guidelines

Amama Mahmood, Junxiang Wang, Bingsheng Yao, Dakuo Wang, and Chien-Ming Huang

arXiv preprint arXiv:2309.13879, 2023

Abs Bib

@article{mahmood2023llm,
  title = {LLM-Powered Conversational Voice Assistants: Interaction Patterns, Opportunities, Challenges, and Design Guidelines},
  author = {Mahmood, Amama and Wang, Junxiang and Yao, Bingsheng and Wang, Dakuo and Huang, Chien-Ming},
  journal = {arXiv preprint arXiv:2309.13879},
  year = {2023},
  img = {/assets/img/9.jpg}
}

" Mango Mango, How to Let The Lettuce Dry Without A Spinner?”: Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner

Szeyi Chan, Jiachen Li, Bingsheng Yao, Amama Mahmood, Chien-Ming Huang, Holly Jimison, Elizabeth D Mynatt, and 1 more author

arXiv preprint arXiv:2310.05853, 2023

Abs Bib

@article{chan2023mango,
  title = {" Mango Mango, How to Let The Lettuce Dry Without A Spinner?'': Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner},
  author = {Chan, Szeyi and Li, Jiachen and Yao, Bingsheng and Mahmood, Amama and Huang, Chien-Ming and Jimison, Holly and Mynatt, Elizabeth D and Wang, Dakuo},
  journal = {arXiv preprint arXiv:2310.05853},
  year = {2023},
  img = {/assets/img/9.jpg}
}

2022

Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks

April Yi Wang, Dakuo Wang, Jaimie Drozdal, Michael Muller, Soya Park, Justin D Weisz, Xuye Liu, and 2 more authors

ACM Transactions on Computer-Human Interaction, 2022

Abs Bib

@article{wang2022documentation,
  title = {Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks},
  author = {Wang, April Yi and Wang, Dakuo and Drozdal, Jaimie and Muller, Michael and Park, Soya and Weisz, Justin D and Liu, Xuye and Wu, Lingfei and Dugan, Casey},
  journal = {ACM Transactions on Computer-Human Interaction},
  volume = {29},
  number = {2},
  pages = {1--33},
  year = {2022},
  publisher = {ACM New York, NY},
  img = {/assets/img/9.jpg}
}

StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement

Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, and 2 more authors

CHI’2022, 2022

Abs Bib

@article{zhang2022storybuddy,
  title = {StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement},
  author = {Zhang, Zheng and Xu, Ying and Wang, Yanhao and Yao, Bingsheng and Ritchie, Daniel and Wu, Tongshuang and Yu, Mo and Wang, Dakuo and Li, Toby Jia-Jun},
  journal = {CHI'2022},
  year = {2022},
  img = {/assets/img/9.jpg}
}

Machine learning with multiple constraints

Parikshit Ram, Dakuo Wang, Deepak Vijaykeerthy, Vaibhav Saxena, Sijia Liu, Arunima Chaudhary, Gregory Bramble, and 2 more authors

Mar 2022

US Patent App. 17/015,243

Abs Bib

@misc{ram2022machine,
  title = {Machine learning with multiple constraints},
  author = {Ram, Parikshit and Wang, Dakuo and Vijaykeerthy, Deepak and Saxena, Vaibhav and Liu, Sijia and Chaudhary, Arunima and Bramble, Gregory and Samulowitz, Horst Cornelius and Gray, Alexander},
  year = {2022},
  month = mar,
  note = {US Patent App. 17/015,243},
  img = {/assets/img/9.jpg}
}

Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work

Chengbo Zheng, Dakuo Wang, April Yi Wang, and Xiaojuan Ma

CHI’2022, Mar 2022

Abs Bib

@article{zheng2022telling,
  title = {Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work},
  author = {Zheng, Chengbo and Wang, Dakuo and Wang, April Yi and Ma, Xiaojuan},
  journal = {CHI'2022},
  year = {2022},
  img = {/assets/img/9.jpg}
}

Fantastic Questions and Where to Find Them: FairytaleQA–An Authentic Dataset for Narrative Comprehension

Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, and 4 more authors

ACL’22, Mar 2022

Abs Bib

@article{xu2022fantastic,
  title = {Fantastic Questions and Where to Find Them: FairytaleQA--An Authentic Dataset for Narrative Comprehension},
  author = {Xu, Ying and Wang, Dakuo and Yu, Mo and Ritchie, Daniel and Yao, Bingsheng and Wu, Tongshuang and Zhang, Zheng and Li, Toby Jia-Jun and Bradford, Nora and Sun, Branda and others},
  journal = {ACL’22},
  year = {2022},
  img = {/assets/img/9.jpg}
}

Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-Centric Summarization

Zhenjie Zhao, Yufang Hou, Dakuo Wang, Mo Yu, Chengzhong Liu, and Xiaojuan Ma

ACL’22, Mar 2022

Abs Bib

@article{zhao2022educational,
  title = {Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-Centric Summarization},
  author = {Zhao, Zhenjie and Hou, Yufang and Wang, Dakuo and Yu, Mo and Liu, Chengzhong and Ma, Xiaojuan},
  journal = {ACL’22},
  year = {2022},
  img = {/assets/img/9.jpg}
}

Semantic Feature Discovery with Code Mining and Semantic Type Detection

Kavitha Srinivas, Takaaki Tateishi, Daniel Karl I Weidele, Udayan Khurana, Horst Samulowitz, Toshihiro Takahashi, Dakuo Wang, and 1 more author

In Proceedings of the AAAI Conference on Artificial Intelligence, Mar 2022

Abs Bib

@inproceedings{srinivas2022semantic,
  title = {Semantic Feature Discovery with Code Mining and Semantic Type Detection},
  author = {Srinivas, Kavitha and Tateishi, Takaaki and Weidele, Daniel Karl I and Khurana, Udayan and Samulowitz, Horst and Takahashi, Toshihiro and Wang, Dakuo and Amini, Lisa},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {36},
  number = {11},
  pages = {13224--13226},
  year = {2022},
  img = {/assets/img/9.jpg}
}

Group chat ecology in enterprise instant messaging: How employees collaborate through multi-user chat channels on slack

Dakuo Wang, Haoyu Wang, Mo Yu, Zahra Ashktorab, and Ming Tan

Proceedings of the ACM on Human-Computer Interaction, Mar 2022

Abs Bib

@article{wang2022group,
  title = {Group chat ecology in enterprise instant messaging: How employees collaborate through multi-user chat channels on slack},
  author = {Wang, Dakuo and Wang, Haoyu and Yu, Mo and Ashktorab, Zahra and Tan, Ming},
  journal = {Proceedings of the ACM on Human-Computer Interaction},
  volume = {6},
  number = {CSCW1},
  pages = {1--14},
  year = {2022},
  publisher = {ACM New York, NY, USA},
  img = {/assets/img/9.jpg}
}

DeepShovel: An Online Collaborative Platform for Data Extraction in Geoscience Literature with AI Assistance

Shao Zhang, Yuting Jia, Hui Xu, Ying Wen, Dakuo Wang, and Xinbing Wang

arXiv preprint arXiv:2202.10163, Mar 2022

Abs Bib

@article{zhang2022deepshovel,
  title = {DeepShovel: An Online Collaborative Platform for Data Extraction in Geoscience Literature with AI Assistance},
  author = {Zhang, Shao and Jia, Yuting and Xu, Hui and Wen, Ying and Wang, Dakuo and Wang, Xinbing},
  journal = {arXiv preprint arXiv:2202.10163},
  year = {2022},
  img = {/assets/img/9.jpg}
}

A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction

Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, and Sanmi Koyejo

NAACL’22, Mar 2022

Abs Bib

@article{xie2022word,
  title = {A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction},
  author = {Xie, Yong and Wang, Dakuo and Chen, Pin-Yu and Xiong, Jinjun and Liu, Sijia and Koyejo, Sanmi},
  journal = {NAACL'22},
  year = {2022},
  img = {/assets/img/9.jpg}
}

Towards a Progression-Aware Autonomous Dialogue Agent

Abraham Sanders, Tomek Strzalkowski, Mei Si, Albert Chang, Deepanshu Dey, Jonas Braasch, and Dakuo Wang

NAACL’22, Mar 2022

Abs Bib

@article{sanders2022towards,
  title = {Towards a Progression-Aware Autonomous Dialogue Agent},
  author = {Sanders, Abraham and Strzalkowski, Tomek and Si, Mei and Chang, Albert and Dey, Deepanshu and Braasch, Jonas and Wang, Dakuo},
  journal = {NAACL'22},
  year = {2022},
  img = {/assets/img/9.jpg}
}

Quantifying vulnerabilities of deep learning computing systems to adversarial perturbations

Sijia Liu, Quanfu Fan, Chuang Gan, and Dakuo Wang

Jan 2022

US Patent 11,227,215

Abs Bib

@misc{liu2022quantifying,
  title = {Quantifying vulnerabilities of deep learning computing systems to adversarial perturbations},
  author = {Liu, Sijia and Fan, Quanfu and Gan, Chuang and Wang, Dakuo},
  year = {2022},
  month = jan,
  note = {US Patent 11,227,215},
  img = {/assets/img/9.jpg}
}

Gemv2: Multilingual nlg benchmarking in a single line of code

Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, and 4 more authors

arXiv preprint arXiv:2206.11249, Jan 2022

Abs Bib

@article{gehrmann2022gemv2,
  author = {Gehrmann, Sebastian and Bhattacharjee, Abhik and Mahendiran, Abinaya and Wang, Alex and Papangelis, Alexandros and Madaan, Aman and McMillan-Major, Angelina and Shvets, Anna and Upadhyay, Ashish and Yao, Bingsheng and others},
  journal = {arXiv preprint arXiv:2206.11249},
  year = {2022},
  img = {/assets/img/9.jpg}
}

Nece: Narrative event chain extraction toolkit

Guangxuan Xu, Paulina Toro Isaza, Moshi Li, Akintoye Oloko, Bingsheng Yao, Cassia Sanctos, Aminat Adebiyi, and 3 more authors

arXiv preprint arXiv:2208.08063, Jan 2022

Abs Bib

@article{xu2022nece,
  title = {Nece: Narrative event chain extraction toolkit},
  author = {Xu, Guangxuan and Isaza, Paulina Toro and Li, Moshi and Oloko, Akintoye and Yao, Bingsheng and Sanctos, Cassia and Adebiyi, Aminat and Hou, Yufang and Peng, Nanyun and Wang, Dakuo},
  journal = {arXiv preprint arXiv:2208.08063},
  year = {2022},
  img = {/assets/img/9.jpg}
}

Human–computer integration: Towards integrating the human body with the computational machine

Nathan Semertzidis, Josh Andres, Martin Weigel, Suranga Nanayakkara, Rakesh Patibanda, Zhuying Li, Paul Strohmeier, and 4 more authors

Foundations and Trends\textregistered in Human-Computer Interaction, Jan 2022

Abs Bib

@article{semertzidis2022human,
  title = {Human--computer integration: Towards integrating the human body with the computational machine},
  author = {Semertzidis, Nathan and Andres, Josh and Weigel, Martin and Nanayakkara, Suranga and Patibanda, Rakesh and Li, Zhuying and Strohmeier, Paul and Knibbe, Jarrod and Greuter, Stefan and Obrist, Marianna and others},
  journal = {Foundations and Trends{\textregistered} in Human-Computer Interaction},
  volume = {16},
  number = {1},
  pages = {1--64},
  year = {2022},
  publisher = {Now Publishers, Inc.},
  img = {/assets/img/9.jpg}
}

MBTI Personality Prediction for Fictional Characters Using Movie Scripts

Yisi Sang, Xiangyang Mou, Mo Yu, Dakuo Wang, Jing Li, and Jeffrey Stanton

EMNLP’22, Jan 2022

Abs Bib

@article{sang2022mbti,
  title = {MBTI Personality Prediction for Fictional Characters Using Movie Scripts},
  author = {Sang, Yisi and Mou, Xiangyang and Yu, Mo and Wang, Dakuo and Li, Jing and Stanton, Jeffrey},
  journal = {EMNLP'22},
  year = {2022},
  img = {/assets/img/9.jpg}
}

Organizational Distance Also Matters: How Organizational Distance Among Industrial Research Teams Affect Their Research Productivity

Dakuo Wang, Michael Muller, Qian Yang, Zijun Wang, Ming Tan, and Stacy Hobson

Proceedings of the ACM on Human-Computer Interaction, Jan 2022

Abs Bib

@article{wang2022organizational,
  title = {Organizational Distance Also Matters: How Organizational Distance Among Industrial Research Teams Affect Their Research Productivity},
  author = {Wang, Dakuo and Muller, Michael and Yang, Qian and Wang, Zijun and Tan, Ming and Hobson, Stacy},
  journal = {Proceedings of the ACM on Human-Computer Interaction},
  volume = {6},
  number = {CSCW2},
  pages = {1--18},
  year = {2022},
  publisher = {ACM New York, NY, USA},
  img = {/assets/img/9.jpg}
}

Label Sleuth: From unlabeled text to a classifier in a few hours

Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martin Santillan Cooper, and 4 more authors

arXiv preprint arXiv:2208.01483, Jan 2022

Abs Bib

@article{shnarch2022label,
  title = {Label Sleuth: From unlabeled text to a classifier in a few hours},
  author = {Shnarch, Eyal and Halfon, Alon and Gera, Ariel and Danilevsky, Marina and Katsis, Yannis and Choshen, Leshem and Cooper, Martin Santillan and Epelboim, Dina and Zhang, Zheng and Wang, Dakuo and others},
  journal = {arXiv preprint arXiv:2208.01483},
  year = {2022},
  img = {/assets/img/9.jpg}
}

GeoDeepShovel: A platform for building scientific database from geoscience literature with AI assistance

Shao Zhang, Hui Xu, Yuting Jia, Ying Wen, Dakuo Wang, Luoyi Fu, Xinbing Wang, and 1 more author

Geoscience Data Journal, Jan 2022

Abs Bib

@article{zhang2022geodeepshovel,
  title = {GeoDeepShovel: A platform for building scientific database from geoscience literature with AI assistance},
  author = {Zhang, Shao and Xu, Hui and Jia, Yuting and Wen, Ying and Wang, Dakuo and Fu, Luoyi and Wang, Xinbing and Zhou, Chenghu},
  journal = {Geoscience Data Journal},
  year = {2022},
  publisher = {Wiley Online Library},
  img = {/assets/img/9.jpg}
}

DeepBrain: Enabling Fine-Grained Brain-Robot Interaction through Human-Centered Learning of Coarse EEG Signals from Low-Cost Devices

Di Wu, Jinhui Ouyang, Ningyi Dai, Mingzhu Wu, Haodan Tan, Hanhui Deng, Yongmei Fan, and 2 more authors

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Jan 2022

Abs Bib

@article{wu2022deepbrain,
  title = {DeepBrain: Enabling Fine-Grained Brain-Robot Interaction through Human-Centered Learning of Coarse EEG Signals from Low-Cost Devices},
  author = {Wu, Di and Ouyang, Jinhui and Dai, Ningyi and Wu, Mingzhu and Tan, Haodan and Deng, Hanhui and Fan, Yongmei and Wang, Dakuo and Jin, Zhanpeng},
  journal = {Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies},
  volume = {6},
  number = {3},
  pages = {1--27},
  year = {2022},
  publisher = {ACM New York, NY, USA},
  img = {/assets/img/9.jpg}
}

2021

How ai developers overcome communication challenges in a multidisciplinary team: A case study

David Piorkowski, Soya Park, April Yi Wang, Dakuo Wang, Michael Muller, and Felix Portnoy

Proceedings of the ACM on Human-Computer Interaction, Jan 2021

Abs Bib

@article{piorkowski2021ai,
  title = {How ai developers overcome communication challenges in a multidisciplinary team: A case study},
  author = {Piorkowski, David and Park, Soya and Wang, April Yi and Wang, Dakuo and Muller, Michael and Portnoy, Felix},
  journal = {Proceedings of the ACM on Human-Computer Interaction},
  volume = {5},
  number = {CSCW1},
  pages = {1--25},
  year = {2021},
  publisher = {ACM New York, NY, USA},
  img = {/assets/img/9.jpg}
}

Preserve, promote, or attack? gnn explanation via topology perturbation

Yi Sun, Abel Valente, Sijia Liu, and Dakuo Wang

arXiv preprint arXiv:2103.13944, Jan 2021

Abs Bib

@article{sun2021preserve,
  title = {Preserve, promote, or attack? gnn explanation via topology perturbation},
  author = {Sun, Yi and Valente, Abel and Liu, Sijia and Wang, Dakuo},
  journal = {arXiv preprint arXiv:2103.13944},
  year = {2021},
  img = {/assets/img/9.jpg}
}

What makes a well-documented notebook? a case study of data scientists’ documentation practices in kaggle

April Yi Wang, Dakuo Wang, Jaimie Drozdal, Xuye Liu, Soya Park, Steve Oney, and Christopher Brooks

In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, Jan 2021

Abs Bib

@inproceedings{wang2021makes,
  title = {What makes a well-documented notebook? a case study of data scientists’ documentation practices in kaggle},
  author = {Wang, April Yi and Wang, Dakuo and Drozdal, Jaimie and Liu, Xuye and Park, Soya and Oney, Steve and Brooks, Christopher},
  booktitle = {Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems},
  pages = {1--7},
  year = {2021},
  img = {/assets/img/9.jpg}
}

HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks

Xuye Liu, Dakuo Wang, April Wang, Yufang Hou, and Lingfei Wu

EMNLP’21, Jan 2021

Abs Bib

@article{liu2021haconvgnn,
  title = {HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks},
  author = {Liu, Xuye and Wang, Dakuo and Wang, April and Hou, Yufang and Wu, Lingfei},
  journal = {EMNLP'21},
  year = {2021},
  img = {/assets/img/9.jpg}
}

Model lineupper: Supporting interactive model comparison at multiple levels for automl

Shweta Narkar, Yunfeng Zhang, Q Vera Liao, Dakuo Wang, and Justin D Weisz

In 26th International Conference on Intelligent User Interfaces, Jan 2021

Abs Bib

@inproceedings{narkar2021model,
  title = {Model lineupper: Supporting interactive model comparison at multiple levels for automl},
  author = {Narkar, Shweta and Zhang, Yunfeng and Liao, Q Vera and Wang, Dakuo and Weisz, Justin D},
  booktitle = {26th International Conference on Intelligent User Interfaces},
  pages = {170--174},
  year = {2021},
  img = {/assets/img/9.jpg}
}

Same benefits, different communication patterns: Comparing Children’s reading with a conversational agent vs. a human partner

Ying Xu, Dakuo Wang, Penelope Collins, Hyelim Lee, and Mark Warschauer

Computers & Education, Jan 2021

Abs Bib

@article{xu2021same,
  title = {Same benefits, different communication patterns: Comparing Children's reading with a conversational agent vs. a human partner},
  author = {Xu, Ying and Wang, Dakuo and Collins, Penelope and Lee, Hyelim and Warschauer, Mark},
  journal = {Computers \& Education},
  volume = {161},
  pages = {104059},
  year = {2021},
  publisher = {Elsevier},
  img = {/assets/img/9.jpg}
}

CASS: Towards building a social-support chatbot for online health community

Liuping Wang, Dakuo Wang, Feng Tian, Zhenhui Peng, Xiangmin Fan, Zhan Zhang, Mo Yu, and 2 more authors

Proceedings of the ACM on Human-Computer Interaction, Jan 2021

Abs Bib

@article{wang2021cass,
  author = {Wang, Liuping and Wang, Dakuo and Tian, Feng and Peng, Zhenhui and Fan, Xiangmin and Zhang, Zhan and Yu, Mo and Ma, Xiaojuan and Wang, Hongan},
  journal = {Proceedings of the ACM on Human-Computer Interaction},
  volume = {5},
  number = {CSCW1},
  pages = {1--31},
  year = {2021},
  publisher = {ACM},
  img = {/assets/img/9.jpg}
}

Designing ai to work with or for people?

Dakuo Wang, Pattie Maes, Xiangshi Ren, Ben Shneiderman, Yuanchun Shi, and Qianying Wang

In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, Jan 2021

Abs Bib

@inproceedings{wang2021designing,
  title = {Designing ai to work with or for people?},
  author = {Wang, Dakuo and Maes, Pattie and Ren, Xiangshi and Shneiderman, Ben and Shi, Yuanchun and Wang, Qianying},
  booktitle = {Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems},
  pages = {1--5},
  year = {2021},
  img = {/assets/img/9.jpg}
}

Automated data science for relational data

Hoang Thanh Lam, Beat Buesser, Hong Min, Tran Ngoc Minh, Martin Wistuba, Udayan Khurana, Gregory Bramble, and 3 more authors

In 2021 IEEE 37th International Conference on Data Engineering (ICDE), Jan 2021

Abs Bib

@inproceedings{lam2021automated,
  title = {Automated data science for relational data},
  author = {Lam, Hoang Thanh and Buesser, Beat and Min, Hong and Minh, Tran Ngoc and Wistuba, Martin and Khurana, Udayan and Bramble, Gregory and Salonidis, Theodoros and Wang, Dakuo and Samulowitz, Horst},
  booktitle = {2021 IEEE 37th International Conference on Data Engineering (ICDE)},
  pages = {2689--2692},
  year = {2021},
  organization = {IEEE},
  img = {/assets/img/9.jpg}
}

Utilization of self-diagnosis health chatbots in real-world settings: case study

Xiangmin Fan, Daren Chao, Zhan Zhang, Dakuo Wang, Xiaohua Li, and Feng Tian

Journal of medical Internet research, Jan 2021

Abs Bib

@article{fan2021utilization,
  title = {Utilization of self-diagnosis health chatbots in real-world settings: case study},
  author = {Fan, Xiangmin and Chao, Daren and Zhang, Zhan and Wang, Dakuo and Li, Xiaohua and Tian, Feng},
  journal = {Journal of medical Internet research},
  volume = {23},
  number = {1},
  pages = {e19928},
  year = {2021},
  publisher = {JMIR Publications Toronto, Canada},
  img = {/assets/img/9.jpg}
}

“Brilliant AI doctor” in rural clinics: Challenges in AI-powered clinical decision support system deployment

Dakuo Wang, Liuping Wang, Zhan Zhang, Ding Wang, Haiyi Zhu, Yvonne Gao, Xiangmin Fan, and 1 more author

In Proceedings of the 2021 CHI conference on human factors in computing systems, Jan 2021

Abs Bib

@inproceedings{wang2021brilliant,
  author = {Wang, Dakuo and Wang, Liuping and Zhang, Zhan and Wang, Ding and Zhu, Haiyi and Gao, Yvonne and Fan, Xiangmin and Tian, Feng},
  booktitle = {Proceedings of the 2021 CHI conference on human factors in computing systems},
  pages = {1--18},
  year = {2021},
  img = {/assets/img/9.jpg}
}

Autotext: An end-to-end autoai framework for text

Arunima Chaudhary, Alayt Issak, Kiran Kate, Yannis Katsis, Abel Valente, Dakuo Wang, Alexandre Evfimievski, and 4 more authors

In Proceedings of the AAAI Conference on Artificial Intelligence, Jan 2021

Abs Bib

@inproceedings{chaudhary2021autotext,
  title = {Autotext: An end-to-end autoai framework for text},
  author = {Chaudhary, Arunima and Issak, Alayt and Kate, Kiran and Katsis, Yannis and Valente, Abel and Wang, Dakuo and Evfimievski, Alexandre and Gurajada, Sairam and Kawas, Ban and Malossi, Cristiano and others},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {35},
  number = {18},
  pages = {16001--16003},
  year = {2021},
  img = {/assets/img/9.jpg}
}

How much automation does a data scientist want?

Dakuo Wang, Q Vera Liao, Yunfeng Zhang, Udayan Khurana, Horst Samulowitz, Soya Park, Michael Muller, and 1 more author

arXiv preprint arXiv:2101.03970, Jan 2021

Abs Bib

@article{wang2021much,
  title = {How much automation does a data scientist want?},
  author = {Wang, Dakuo and Liao, Q Vera and Zhang, Yunfeng and Khurana, Udayan and Samulowitz, Horst and Park, Soya and Muller, Michael and Amini, Lisa},
  journal = {arXiv preprint arXiv:2101.03970},
  year = {2021},
  img = {/assets/img/9.jpg}
}

Effect of ai explanations on human perceptions of patient-facing ai-powered healthcare systems

Zhan Zhang, Yegin Genc, Dakuo Wang, Mehmet Eren Ahsen, and Xiangmin Fan

Journal of Medical Systems, Jan 2021

Abs Bib

@article{zhang2021effect,
  title = {Effect of ai explanations on human perceptions of patient-facing ai-powered healthcare systems},
  author = {Zhang, Zhan and Genc, Yegin and Wang, Dakuo and Ahsen, Mehmet Eren and Fan, Xiangmin},
  journal = {Journal of Medical Systems},
  volume = {45},
  number = {6},
  pages = {64},
  year = {2021},
  publisher = {Springer US New York},
  img = {/assets/img/9.jpg}
}

Data-debugging through interactive visual explanations

Shazia Afzal, Arunima Chaudhary, Nitin Gupta, Hima Patel, Carolina Spina, and Dakuo Wang

In Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2021 Workshops, WSPA, MLMEIN, SDPRA, DARAI, and AI4EPT, Delhi, India, May 11, 2021 Proceedings 25, Jan 2021

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@inproceedings{afzal2021data,
  title = {Data-debugging through interactive visual explanations},
  author = {Afzal, Shazia and Chaudhary, Arunima and Gupta, Nitin and Patel, Hima and Spina, Carolina and Wang, Dakuo},
  booktitle = {Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2021 Workshops, WSPA, MLMEIN, SDPRA, DARAI, and AI4EPT, Delhi, India, May 11, 2021 Proceedings 25},
  pages = {133--142},
  year = {2021},
  organization = {Springer International Publishing},
  img = {/assets/img/9.jpg}
}

Patients’ perceptions of using artificial intelligence (AI)-based technology to comprehend radiology imaging data

Zhan Zhang, Daniel Citardi, Dakuo Wang, Yegin Genc, Juan Shan, and Xiangmin Fan

Health Informatics Journal, Jan 2021

Abs Bib

@article{zhang2021patients,
  title = {Patients’ perceptions of using artificial intelligence (AI)-based technology to comprehend radiology imaging data},
  author = {Zhang, Zhan and Citardi, Daniel and Wang, Dakuo and Genc, Yegin and Shan, Juan and Fan, Xiangmin},
  journal = {Health Informatics Journal},
  volume = {27},
  number = {2},
  pages = {14604582211011215},
  year = {2021},
  publisher = {SAGE Publications Sage UK: London, England},
  img = {/assets/img/9.jpg}
}

AutoDS: Towards human-centered automation of data science

Dakuo Wang, Josh Andres, Justin D Weisz, Erick Oduor, and Casey Dugan

In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, Jan 2021

Abs Bib

@inproceedings{wang2021autods,
  title = {AutoDS: Towards human-centered automation of data science},
  author = {Wang, Dakuo and Andres, Josh and Weisz, Justin D and Oduor, Erick and Dugan, Casey},
  booktitle = {Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems},
  pages = {1--12},
  year = {2021},
  img = {/assets/img/9.jpg}
}

D2S: Document-to-Slide Generation Via Query-Based Text Summarization

Edward Sun, Yufang Hou, Dakuo Wang, Yunfeng Zhang, and Nancy XR Wang

NAACL’21, Jan 2021

Abs Bib

@article{sun2021d2s,
  title = {D2S: Document-to-Slide Generation Via Query-Based Text Summarization},
  author = {Sun, Edward and Hou, Yufang and Wang, Dakuo and Zhang, Yunfeng and Wang, Nancy XR},
  journal = {NAACL'21},
  year = {2021},
  img = {/assets/img/9.jpg}
}

Human-centered AI for data science: A systematic approach

Dakuo Wang, Xiaojuan Ma, and April Yi Wang

arXiv preprint arXiv:2110.01108, Jan 2021

Abs Bib

@article{wang2021human,
  title = {Human-centered AI for data science: A systematic approach},
  author = {Wang, Dakuo and Ma, Xiaojuan and Wang, April Yi},
  journal = {arXiv preprint arXiv:2110.01108},
  year = {2021},
  img = {/assets/img/9.jpg}
}

Towards A Diverse, Inclusive, Accessible and Equitable AAAI International Conference on Web and Social Media (ICWSM)

Jason RC Nurse, Francielle Vargas, Naeemul Hassan, Dakuo Wang, Panagiotis Andriotis, Amira Ghenai, Kokil Jaidka, and 3 more authors

ICWSM’21, Jan 2021

Abs Bib

@article{nurse2021towards,
  title = {Towards A Diverse, Inclusive, Accessible and Equitable AAAI International Conference on Web and Social Media (ICWSM)},
  author = {Nurse, Jason RC and Vargas, Francielle and Hassan, Naeemul and Wang, Dakuo and Andriotis, Panagiotis and Ghenai, Amira and Jaidka, Kokil and Mustafaraj, Eni and Joseph, Kenneth and Welles, Brooke Foucault},
  journal = {ICWSM'21},
  year = {2021},
  img = {/assets/img/9.jpg}
}

It is AI’s Turn to Ask Humans a Question: Question-Answer Pair Generation for Children’s Story Books

Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Mo Yu, and Ying Xu

ACL’22, Jan 2021

Abs Bib

@article{yao2021ai,
  title = {It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books},
  author = {Yao, Bingsheng and Wang, Dakuo and Wu, Tongshuang and Zhang, Zheng and Li, Toby Jia-Jun and Yu, Mo and Xu, Ying},
  journal = {ACL'22},
  year = {2021},
  img = {/assets/img/9.jpg}
}

How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks.

Michael J Muller, April Yi Wang, Steven I Ross, Justin D Weisz, Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, and 4 more authors

In IUI Workshops, Jan 2021

Abs Bib

@inproceedings{muller2021data,
  title = {How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks.},
  author = {Muller, Michael J and Wang, April Yi and Ross, Steven I and Weisz, Justin D and Agarwal, Mayank and Talamadupula, Kartik and Houde, Stephanie and Martinez, Fernando and Richards, John T and Drozdal, Jaimie and others},
  booktitle = {IUI Workshops},
  year = {2021},
  img = {/assets/img/9.jpg}
}

2020

Solving constrained cash problems with admm

Parikshit Ram, Sijia Liu, Deepak Vijaykeerthi, Dakuo Wang, Djallel Bouneffouf, Greg Bramble, Horst Samulowitz, and 1 more author

arXiv preprint arXiv:2006.09635, Jan 2020

Abs Bib

@article{ram2020solving,
  title = {Solving constrained cash problems with admm},
  author = {Ram, Parikshit and Liu, Sijia and Vijaykeerthi, Deepak and Wang, Dakuo and Bouneffouf, Djallel and Bramble, Greg and Samulowitz, Horst and Gray, Alexander G},
  journal = {arXiv preprint arXiv:2006.09635},
  year = {2020},
  img = {/assets/img/9.jpg}
}

AutoAI: Automating the end-to-end ai lifecycle with humans-in-the-loop

Dakuo Wang, Parikshit Ram, Daniel Karl I Weidele, Sijia Liu, Michael Muller, Justin D Weisz, Abel Valente, and 4 more authors

In Proceedings of the 25th International Conference on Intelligent User Interfaces Companion, Jan 2020

Abs Bib

@inproceedings{wang2020autoai,
  title = {AutoAI: Automating the end-to-end ai lifecycle with humans-in-the-loop},
  author = {Wang, Dakuo and Ram, Parikshit and Weidele, Daniel Karl I and Liu, Sijia and Muller, Michael and Weisz, Justin D and Valente, Abel and Chaudhary, Arunima and Torres, Dustin and Samulowitz, Horst and others},
  booktitle = {Proceedings of the 25th International Conference on Intelligent User Interfaces Companion},
  pages = {77--78},
  year = {2020},
  img = {/assets/img/9.jpg}
}

AutoAIViz: opening the blackbox of automated artificial intelligence with conditional parallel coordinates

Daniel Karl I Weidele, Justin D Weisz, Erick Oduor, Michael Muller, Josh Andres, Alexander Gray, and Dakuo Wang

In Proceedings of the 25th International Conference on Intelligent User Interfaces, Jan 2020

Abs Bib

@inproceedings{weidele2020autoaiviz,
  title = {AutoAIViz: opening the blackbox of automated artificial intelligence with conditional parallel coordinates},
  author = {Weidele, Daniel Karl I and Weisz, Justin D and Oduor, Erick and Muller, Michael and Andres, Josh and Gray, Alexander and Wang, Dakuo},
  booktitle = {Proceedings of the 25th International Conference on Intelligent User Interfaces},
  pages = {308--312},
  year = {2020},
  img = {/assets/img/9.jpg}
}

Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems

Jaimie Drozdal, Justin Weisz, Dakuo Wang, Gaurav Dass, Bingsheng Yao, Changruo Zhao, Michael Muller, and 2 more authors

In Proceedings of the 25th international conference on intelligent user interfaces, Jan 2020

Abs Bib

@inproceedings{drozdal2020trust,
  title = {Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems},
  author = {Drozdal, Jaimie and Weisz, Justin and Wang, Dakuo and Dass, Gaurav and Yao, Bingsheng and Zhao, Changruo and Muller, Michael and Ju, Lin and Su, Hui},
  booktitle = {Proceedings of the 25th international conference on intelligent user interfaces},
  pages = {297--307},
  year = {2020},
  img = {/assets/img/9.jpg}
}

How do data science workers collaborate? roles, workflows, and tools

Amy X Zhang, Michael Muller, and Dakuo Wang

Proceedings of the ACM on Human-Computer Interaction, Jan 2020

Abs Bib

@article{zhang2020data,
  title = {How do data science workers collaborate? roles, workflows, and tools},
  author = {Zhang, Amy X and Muller, Michael and Wang, Dakuo},
  journal = {Proceedings of the ACM on Human-Computer Interaction},
  volume = {4},
  number = {CSCW1},
  pages = {1--23},
  year = {2020},
  publisher = {ACM New York, NY, USA},
  img = {/assets/img/9.jpg}
}

An ADMM based framework for automl pipeline configuration

Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, and 2 more authors

In Proceedings of the AAAI Conference on Artificial Intelligence, Jan 2020

Abs Bib

@inproceedings{liu2020admm,
  title = {An ADMM based framework for automl pipeline configuration},
  author = {Liu, Sijia and Ram, Parikshit and Vijaykeerthy, Deepak and Bouneffouf, Djallel and Bramble, Gregory and Samulowitz, Horst and Wang, Dakuo and Conn, Andrew and Gray, Alexander},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {34},
  number = {04},
  pages = {4892--4899},
  year = {2020},
  img = {/assets/img/9.jpg}
}

Next steps for human-computer integration

Florian Floyd Mueller, Pedro Lopes, Paul Strohmeier, Wendy Ju, Caitlyn Seim, Martin Weigel, Suranga Nanayakkara, and 4 more authors

In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Jan 2020

Abs Bib

@inproceedings{mueller2020next,
  title = {Next steps for human-computer integration},
  author = {Mueller, Florian Floyd and Lopes, Pedro and Strohmeier, Paul and Ju, Wendy and Seim, Caitlyn and Weigel, Martin and Nanayakkara, Suranga and Obrist, Marianna and Li, Zhuying and Delfa, Joseph and others},
  booktitle = {Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems},
  pages = {1--15},
  year = {2020},
  img = {/assets/img/9.jpg}
}

Chinese CHI 2020 Workshop

Xiangmin Fan, Junfeng Yao, Huawei Tu, and Dakuo Wang

In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, Jan 2020

Abs Bib

@inproceedings{fan2020chinese,
  title = {Chinese CHI 2020 Workshop},
  author = {Fan, Xiangmin and Yao, Junfeng and Tu, Huawei and Wang, Dakuo},
  booktitle = {Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems},
  pages = {1--5},
  year = {2020},
  img = {/assets/img/9.jpg}
}

Lay individuals’ perceptions of artificial intelligence (AI)-empowered healthcare systems

Zhan Zhang, Yegin Genc, Aiwen Xing, Dakuo Wang, Xiangmin Fan, and Daniel Citardi

Proceedings of the Association for Information Science and Technology, Jan 2020

Abs Bib

@article{zhang2020lay,
  title = {Lay individuals' perceptions of artificial intelligence (AI)-empowered healthcare systems},
  author = {Zhang, Zhan and Genc, Yegin and Xing, Aiwen and Wang, Dakuo and Fan, Xiangmin and Citardi, Daniel},
  journal = {Proceedings of the Association for Information Science and Technology},
  volume = {57},
  number = {1},
  pages = {e326},
  year = {2020},
  publisher = {Wiley Online Library},
  img = {/assets/img/9.jpg}
}

From human-human collaboration to Human-AI collaboration: Designing AI systems that can work together with people

Dakuo Wang, Elizabeth Churchill, Pattie Maes, Xiangmin Fan, Ben Shneiderman, Yuanchun Shi, and Qianying Wang

In Extended abstracts of the 2020 CHI conference on human factors in computing systems, Jan 2020

Abs Bib

@inproceedings{wang2020human,
  title = {From human-human collaboration to Human-AI collaboration: Designing AI systems that can work together with people},
  author = {Wang, Dakuo and Churchill, Elizabeth and Maes, Pattie and Fan, Xiangmin and Shneiderman, Ben and Shi, Yuanchun and Wang, Qianying},
  pages = {1--6},
  year = {2020},
  img = {/assets/img/9.jpg}
}

IBM AutoAI: Human-in-the-Loop Automated Machine Learning Supports Data Scientists to Build Better Models.

Dakuo Wang, Josh Andres, Justin D Weisz, Erick Oduor, Udayan Khurana, Horst Samulowitz, Arunima Chaudhary, and 3 more authors

In DaSH@ KDD, Jan 2020

Abs Bib

@inproceedings{wang2020ibm,
  title = {IBM AutoAI: Human-in-the-Loop Automated Machine Learning Supports Data Scientists to Build Better Models.},
  author = {Wang, Dakuo and Andres, Josh and Weisz, Justin D and Oduor, Erick and Khurana, Udayan and Samulowitz, Horst and Chaudhary, Arunima and Valente, Abel N and Torres, Dustin Ramsey and Dugan, Casey},
  booktitle = {DaSH@ KDD},
  year = {2020},
  img = {/assets/img/9.jpg}
}

2019

Out-of-domain detection for low-resource text classification tasks

Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, and Mo Yu

EMNLP’19, Jan 2019

Abs Bib

@article{tan2019out,
  title = {Out-of-domain detection for low-resource text classification tasks},
  author = {Tan, Ming and Yu, Yang and Wang, Haoyu and Wang, Dakuo and Potdar, Saloni and Chang, Shiyu and Yu, Mo},
  journal = {EMNLP'19},
  year = {2019},
  img = {/assets/img/9.jpg}
}

How data science workers work with data: Discovery, capture, curation, design, creation

Michael Muller, Ingrid Lange, Dakuo Wang, David Piorkowski, Jason Tsay, Q Vera Liao, Casey Dugan, and 1 more author

In Proceedings of the 2019 CHI conference on human factors in computing systems, Jan 2019

Abs Bib

@inproceedings{muller2019data,
  title = {How data science workers work with data: Discovery, capture, curation, design, creation},
  author = {Muller, Michael and Lange, Ingrid and Wang, Dakuo and Piorkowski, David and Tsay, Jason and Liao, Q Vera and Dugan, Casey and Erickson, Thomas},
  booktitle = {Proceedings of the 2019 CHI conference on human factors in computing systems},
  pages = {1--15},
  year = {2019},
  img = {/assets/img/9.jpg}
}

Extracting multiple-relations in one-pass with pre-trained transformers

Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, and 1 more author

arXiv preprint arXiv:1902.01030, Jan 2019

Abs Bib

@article{wang2019extracting,
  title = {Extracting multiple-relations in one-pass with pre-trained transformers},
  author = {Wang, Haoyu and Tan, Ming and Yu, Mo and Chang, Shiyu and Wang, Dakuo and Xu, Kun and Guo, Xiaoxiao and Potdar, Saloni},
  journal = {arXiv preprint arXiv:1902.01030},
  year = {2019},
  img = {/assets/img/9.jpg}
}

How data scientists work together with domain experts in scientific collaborations: To find the right answer or to ask the right question?

Yaoli Mao, Dakuo Wang, Michael Muller, Kush R Varshney, Ioana Baldini, Casey Dugan, and Aleksandra Mojsilović

Proceedings of the ACM on Human-Computer Interaction, Jan 2019

Abs Bib

@article{mao2019data,
  title = {How data scientists work together with domain experts in scientific collaborations: To find the right answer or to ask the right question?},
  author = {Mao, Yaoli and Wang, Dakuo and Muller, Michael and Varshney, Kush R and Baldini, Ioana and Dugan, Casey and Mojsilovi{\'c}, Aleksandra},
  journal = {Proceedings of the ACM on Human-Computer Interaction},
  volume = {3},
  number = {GROUP},
  pages = {1--23},
  year = {2019},
  publisher = {ACM},
  img = {/assets/img/9.jpg}
}

Context-aware conversation thread detection in multi-party chat

Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang, and 1 more author

In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Jan 2019

Abs Bib

@inproceedings{tan2019context,
  title = {Context-aware conversation thread detection in multi-party chat},
  author = {Tan, Ming and Wang, Dakuo and Gao, Yupeng and Wang, Haoyu and Potdar, Saloni and Guo, Xiaoxiao and Chang, Shiyu and Yu, Mo},
  booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
  pages = {6456--6461},
  year = {2019},
  img = {/assets/img/9.jpg}
}

Human-ai collaboration in data science: Exploring data scientists’ perceptions of automated ai

Dakuo Wang, Justin D Weisz, Michael Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla Tausczik, and 2 more authors

Proceedings of the ACM on human-computer interaction, Jan 2019

Abs Bib

@article{wang2019human,
  title = {Human-ai collaboration in data science: Exploring data scientists' perceptions of automated ai},
  author = {Wang, Dakuo and Weisz, Justin D and Muller, Michael and Ram, Parikshit and Geyer, Werner and Dugan, Casey and Tausczik, Yla and Samulowitz, Horst and Gray, Alexander},
  journal = {Proceedings of the ACM on human-computer interaction},
  volume = {3},
  number = {CSCW},
  pages = {1--24},
  year = {2019},
  publisher = {ACM New York, NY, USA},
  img = {/assets/img/9.jpg}
}

HCI in China: Research Agenda, Education Curriculum, Industry Partnership, and Communities Building

Feng Tian, Xiangshi Ren, Xiangmin Fan, Wei Li, Haipeng Mi, Tun Lu, Chun Yu, and 1 more author

In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, Jan 2019

Abs Bib

@inproceedings{tian2019hci,
  title = {HCI in China: Research Agenda, Education Curriculum, Industry Partnership, and Communities Building},
  author = {Tian, Feng and Ren, Xiangshi and Fan, Xiangmin and Li, Wei and Mi, Haipeng and Lu, Tun and Yu, Chun and Wang, Dakuo},
  booktitle = {Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems},
  pages = {1--8},
  year = {2019},
  img = {/assets/img/9.jpg}
}

What can gestures tell? Detecting motor impairment in early Parkinson’s from common touch gestural interactions

Feng Tian, Xiangmin Fan, Junjun Fan, Yicheng Zhu, Jing Gao, Dakuo Wang, Xiaojun Bi, and 1 more author

In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, Jan 2019

Abs Bib

@inproceedings{tian2019can,
  title = {What can gestures tell? Detecting motor impairment in early Parkinson's from common touch gestural interactions},
  author = {Tian, Feng and Fan, Xiangmin and Fan, Junjun and Zhu, Yicheng and Gao, Jing and Wang, Dakuo and Bi, Xiaojun and Wang, Hongan},
  booktitle = {Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems},
  pages = {1--14},
  year = {2019},
  img = {/assets/img/9.jpg}
}

Conversational agents: Acting on the wave of research and development

Richard Jacques, Asbjørn Følstad, Elizabeth Gerber, Jonathan Grudin, Ewa Luger, Andrés Monroy-Hernández, and Dakuo Wang

In Extended Abstracts of the 2019 CHI conference on human factors in computing systems, Jan 2019

Abs Bib

@inproceedings{jacques2019conversational,
  title = {Conversational agents: Acting on the wave of research and development},
  author = {Jacques, Richard and F{\o}lstad, Asbj{\o}rn and Gerber, Elizabeth and Grudin, Jonathan and Luger, Ewa and Monroy-Hern{\'a}ndez, Andr{\'e}s and Wang, Dakuo},
  booktitle = {Extended Abstracts of the 2019 CHI conference on human factors in computing systems},
  pages = {1--8},
  year = {2019},
  img = {/assets/img/9.jpg}
}

2018

Implicit detection of motor impairment in Parkinson’s disease from everyday smartphone interactions

Jing Gao, Feng Tian, Junjun Fan, Dakuo Wang, Xiangmin Fan, Yicheng Zhu, Shuai Ma, and 2 more authors

In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, Jan 2018

Abs Bib

@inproceedings{gao2018implicit,
  title = {Implicit detection of motor impairment in Parkinson's disease from everyday smartphone interactions},
  author = {Gao, Jing and Tian, Feng and Fan, Junjun and Wang, Dakuo and Fan, Xiangmin and Zhu, Yicheng and Ma, Shuai and Huang, Jin and Wang, Hongan},
  booktitle = {Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems},
  pages = {1--6},
  year = {2018},
  img = {/assets/img/9.jpg}
}

Writing together: Online synchronous collaboration in middle school

Jenell Krishnan, Andrew Cusimano, Dakuo Wang, and Soobin Yim

Journal of Adolescent & Adult Literacy, Jan 2018

Abs Bib

@article{krishnan2018writing,
  title = {Writing together: Online synchronous collaboration in middle school},
  author = {Krishnan, Jenell and Cusimano, Andrew and Wang, Dakuo and Yim, Soobin},
  journal = {Journal of Adolescent \& Adult Literacy},
  volume = {62},
  number = {2},
  pages = {163--173},
  year = {2018},
  publisher = {Wiley Online Library},
  img = {/assets/img/9.jpg}
}

All work and no play?

Q Vera Liao, Muhammed Mas-ud Hussain, Praveen Chandar, Matthew Davis, Yasaman Khazaeni, Marco Patricio Crasso, Dakuo Wang, and 3 more authors

In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Jan 2018

Abs Bib

@inproceedings{liao2018all,
  title = {All work and no play?},
  author = {Liao, Q Vera and Mas-ud Hussain, Muhammed and Chandar, Praveen and Davis, Matthew and Khazaeni, Yasaman and Crasso, Marco Patricio and Wang, Dakuo and Muller, Michael and Shami, N Sadat and Geyer, Werner},
  booktitle = {Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems},
  pages = {1--13},
  year = {2018},
  img = {/assets/img/9.jpg}
}

Projecting life onto robots: The effects of cultural factors and design type on multi-level evaluations of robot anthropomorphism

Haodan Tan, Dakuo Wang, and Selma Sabanovic

In 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Jan 2018

Abs Bib

@inproceedings{tan2018projecting,
  title = {Projecting life onto robots: The effects of cultural factors and design type on multi-level evaluations of robot anthropomorphism},
  author = {Tan, Haodan and Wang, Dakuo and Sabanovic, Selma},
  booktitle = {2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)},
  pages = {129--136},
  year = {2018},
  organization = {IEEE},
  img = {/assets/img/9.jpg}
}

Face Value? Exploring the effects of embodiment for a group facilitation agent

Ameneh Shamekhi, Q Vera Liao, Dakuo Wang, Rachel KE Bellamy, and Thomas Erickson

In Proceedings of the 2018 CHI conference on human factors in computing systems, Jan 2018

Abs Bib

@inproceedings{shamekhi2018face,
  title = {Face Value? Exploring the effects of embodiment for a group facilitation agent},
  author = {Shamekhi, Ameneh and Liao, Q Vera and Wang, Dakuo and Bellamy, Rachel KE and Erickson, Thomas},
  booktitle = {Proceedings of the 2018 CHI conference on human factors in computing systems},
  pages = {1--13},
  year = {2018},
  img = {/assets/img/9.jpg}
}

2017

Hacking with NPOs: collaborative analytics and broker roles in civic data hackathons

Youyang Hou, and Dakuo Wang

Proc. ACM Hum.-Comput. Interact (CSCW) 🏆, Jan 2017

Abs Bib

@article{hou2017hacking,
  title = {Hacking with NPOs: collaborative analytics and broker roles in civic data hackathons},
  author = {Hou, Youyang and Wang, Dakuo},
  journal = {Proc. ACM Hum.-Comput. Interact (CSCW) 🏆},
  year = {2017},
  publisher = {ACM},
  img = {/assets/img/9.jpg}
}

How people write together now: Beginning the investigation with advanced undergraduates in a project course

Judith S Olson, Dakuo Wang, Gary M Olson, and Jingwen Zhang

ACM Transactions on Computer-Human Interaction (TOCHI), Jan 2017

Abs Bib

@article{olson2017people,
  title = {How people write together now: Beginning the investigation with advanced undergraduates in a project course},
  author = {Olson, Judith S and Wang, Dakuo and Olson, Gary M and Zhang, Jingwen},
  journal = {ACM Transactions on Computer-Human Interaction (TOCHI)},
  volume = {24},
  number = {1},
  pages = {1--40},
  year = {2017},
  publisher = {ACM New York, NY, USA},
  img = {/assets/img/9.jpg}
}

Why users do not want to write together when they are writing together: Users’ rationales for today’s collaborative writing practices

Dakuo Wang, Haodan Tan, and Tun Lu

Proc. ACM Hum.-Comput. Interact (CSCW) 🏅, Jan 2017

Abs Bib

@article{wang2017users,
  title = {Why users do not want to write together when they are writing together: Users' rationales for today's collaborative writing practices},
  author = {Wang, Dakuo and Tan, Haodan and Lu, Tun},
  journal = {Proc. ACM Hum.-Comput. Interact (CSCW) 🏅},
  year = {2017},
  publisher = {ACM},
  img = {/assets/img/9.jpg}
}

Synchronous writing in the classroom: Undergraduates’ collaborative practices and their impact on text quality, quantity, and style

Soobin Yim, Dakuo Wang, Judith Olson, Viet Vu, and Mark Warschauer

In Proceedings of the Conference on Computer Supported Cooperative Work (CSCW’17), Jan 2017

Abs Bib

@inproceedings{yim2017synchronous,
  title = {Synchronous writing in the classroom: Undergraduates’ collaborative practices and their impact on text quality, quantity, and style},
  author = {Yim, Soobin and Wang, Dakuo and Olson, Judith and Vu, Viet and Warschauer, Mark},
  booktitle = {Proceedings of the Conference on Computer Supported Cooperative Work (CSCW’17)},
  volume = {10},
  number = {2998181.2998356},
  year = {2017},
  img = {/assets/img/9.jpg}
}

2016

Exploring and supporting today’s collaborative writing

Dakuo Wang

In Proceedings of the 2016 CHI conference extended abstracts on human factors in computing systems, Jan 2016

Abs Bib
@inproceedings{wang2016exploring, author = {Wang, Dakuo}, pages = {255--259}, year = {2016}, img = {/assets/img/9.jpg} }

Answerer engagement in an enterprise social question & answering system

Dakuo Wang, Youyang Hou, Lin Luo, and Yingxin Pan

IConference 2016 Proceedings, Jan 2016

Abs Bib

@article{wang2016answerer,
  title = {Answerer engagement in an enterprise social question \& answering system},
  author = {Wang, Dakuo and Hou, Youyang and Luo, Lin and Pan, Yingxin},
  journal = {IConference 2016 Proceedings},
  year = {2016},
  publisher = {iSchools},
  img = {/assets/img/9.jpg}
}

2015

How students collaboratively write using google docs

Dakuo Wang, Judith S Olson, Jingwen Zhang, Trung Nguyen, and Gary M Olson

IConference 2015 Proceedings, Jan 2015

Abs Bib

@article{wang2015students,
  title = {How students collaboratively write using google docs},
  author = {Wang, Dakuo and Olson, Judith S and Zhang, Jingwen and Nguyen, Trung and Olson, Gary M},
  journal = {IConference 2015 Proceedings},
  year = {2015},
  publisher = {iSchools},
  img = {/assets/img/9.jpg}
}

Internet censorship in China: Examining user awareness and attitudes

Dakuo Wang, and Gloria Mark

ACM Transactions on Computer-Human Interaction (TOCHI), Jan 2015

Abs Bib

@article{wang2015internet,
  title = {Internet censorship in China: Examining user awareness and attitudes},
  author = {Wang, Dakuo and Mark, Gloria},
  journal = {ACM Transactions on Computer-Human Interaction (TOCHI)},
  volume = {22},
  number = {6},
  pages = {1--22},
  year = {2015},
  publisher = {ACM New York, NY, USA},
  img = {/assets/img/9.jpg}
}

DocuViz: visualizing collaborative writing

Dakuo Wang, Judith S Olson, Jingwen Zhang, Trung Nguyen, and Gary M Olson

In Proceedings of the 33rd Annual ACM conference on human factors in computing systems, Jan 2015

Abs Bib

@inproceedings{wang2015docuviz,
  title = {DocuViz: visualizing collaborative writing},
  author = {Wang, Dakuo and Olson, Judith S and Zhang, Jingwen and Nguyen, Trung and Olson, Gary M},
  booktitle = {Proceedings of the 33rd Annual ACM conference on human factors in computing systems},
  pages = {1865--1874},
  year = {2015},
  img = {/assets/img/9.jpg}
}