Dakuo Wang
Associate Professor, Jointly Appointed with College of Arts, Media and Design
Research interests
- Human–computer interaction
- Human–AI collaboration
- Natural language processing
- Health informatics
- Data science
- Computer-supported cooperative work
Education
- PhD in Informatics, UC Irvine
- MS in Computer and Information Sciences, UC Irvine
- MS in Electrical Engineering, UC Irvine
- BS in Computer Science, Beijing University of Technology — China
Biography
Dakuo Wang is an associate professor in the Khoury College of Computer Sciences and the College of Arts, Media and Design at Northeastern University, based in Boston.
Wang's research lies at the intersection of human-computer interaction and artificial intelligence, with a focus on exploring, developing, and evaluating human-centered AI systems. He aims to democratize AI for every person and organization so they can access and collaborate with AI systems.
Before joining Northeastern, Wang was a senior staff member at IBM Research, principal investigator at the MIT-IBM Watson AI Lab, and a visiting scholar at the Stanford Institute for Human-Centered Artificial Intelligence. He has worked as a designer, researcher, and engineer in the US, China, and France; organized committees and editorial boards at numerous venues; served as a prolific ACM Distinguished Speaker; and earned more than 60 patents.
Recent publications
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Vital Insight: Assisting Experts’ Context-Driven Sensemaking of Multi-modal Personal Tracking Data Using Visualization and Human-in-the-Loop LLM
Citation: Jiachen Li, Xiwen Li, Justin Steinberg, Akshat Choube, Bingsheng Yao, Xuhai Xu, Dakuo Wang, Elizabeth D. Mynatt, Varun Mishra . (2025). Vital Insight: Assisting Experts' Context-Driven Sensemaking of Multi-modal Personal Tracking Data Using Visualization and Human-in-the-Loop LLM Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 9, 101:1-101:37. https://doi.org/10.1145/3749508 -
OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation
Citation: Ziyi Wang, Yuxuan Lu , Wenbo Li, Amirali Amini, Bo Sun, Yakov Bart, Weimin Lyu, Jiri Gesi, Tian Wang, Jing Huang, Yu Su, Upol Ehsan, Malihe Alikhani, Toby Jia-Jun Li, Lydia B. Chilton, Dakuo Wang. (2025). OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation CoRR, abs/2506.05606. https://doi.org/10.48550/arXiv.2506.05606 -
CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Prediction of Cancer Treatment-Induced Cardiotoxicity
Citation: Siyi Wu, Weidan Cao, Shihan Fu, Bingsheng Yao, Ziqi Yang, Changchang Yin, Varun Mishra , Daniel Addison, Ping Zhang , Dakuo Wang. (2025). CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Prediction of Cancer Treatment-Induced Cardiotoxicity CHI, 313:1-313:22. https://doi.org/10.1145/3706598.3714272 -
Examining Student and Teacher Perspectives on Undisclosed Use of Generative AI in Academic Work
Citation: Rudaiba Adnin, Atharva Pandkar, Bingsheng Yao, Dakuo Wang, Maitraye Das. (2025). Examining Student and Teacher Perspectives on Undisclosed Use of Generative AI in Academic Work CHI, 1071:1-1071:17. https://doi.org/10.1145/3706598.3713393 -
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
Citation: Bingsheng Yao, Menglin Zhao, Yuling Sun, Weidan Cao, Changchang Yin, Stephen S. Intille, Xuhai Xu, Ping Zhang , Jingzhen Yang, Dakuo Wang. (2025). 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 CoRR, abs/2502.03732. https://doi.org/10.48550/arXiv.2502.03732 -
StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children’s Story-Based Learning
Citation: Jiaju Chen, Yuxuan Lu , Shao Zhang, Bingsheng Yao, Yuanzhe Dong, Ying Xu, Yunyao Li , Qianwen Wang, Dakuo Wang, Yuling Sun. (2024). StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children's Story-Based Learning EMNLP, 17351-17370. https://aclanthology.org/2024.emnlp-main.961 -
Vital Insight: Assisting Experts’ Sensemaking Process of Multi-modal Personal Tracking Data Using Visualization and LLM
Citation: Jiachen Li, Justin Steinberg, Xiwen Li, Akshat Choube, Bingsheng Yao, Dakuo Wang, Elizabeth D. Mynatt, Varun Mishra . (2024). Vital Insight: Assisting Experts' Sensemaking Process of Multi-modal Personal Tracking Data Using Visualization and LLM CoRR, abs/2410.14879. https://doi.org/10.48550/arXiv.2410.14879 -
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing
Citation: Changchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang . (2024). SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing KDD, 6158-6168. https://doi.org/10.1145/3637528.3671586 -
Clinical Challenges and AI Opportunities in Decision-Making for Cancer Treatment-Induced Cardiotoxicity
Citation: Siyi Wu, Weidan Cao, Shihan Fu, Bingsheng Yao, Ziqi Yang, Changchang Yin, Varun Mishra , Daniel Addison, Ping Zhang , Dakuo Wang. (2024). Clinical Challenges and AI Opportunities in Decision-Making for Cancer Treatment-Induced Cardiotoxicity CoRR, abs/2408.03586. https://doi.org/10.48550/arXiv.2408.03586 -
Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults
Citation: Ziqi Yang, Xuhai Xu, Bingsheng Yao, Ethan Rogers, Shao Zhang, Stephen S. Intille, Nawar Shara, Guodong Gordon Gao, Dakuo Wang. (2024). Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 8, 73:1-73:35. https://doi.org/10.1145/3659625 -
Building LLM-based AI Agents in Social Virtual Reality
Citation: Hongyu Wan, Jinda Zhang, Abdulaziz Arif Suria, Bingsheng Yao, Dakuo Wang, Yvonne Coady, Mirjana Prpa. (2024). Building LLM-based AI Agents in Social Virtual Reality CHI Extended Abstracts, 65:1-65:7. https://doi.org/10.1145/3613905.3651026 -
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis
Citation: Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu , Bingsheng Yao, Melanie Tory, Lace M. K. Padilla, Jeffrey M. Caterino, Ping Zhang , Dakuo Wang. (2024). Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis CHI, 445:1-445:18. https://doi.org/10.1145/3613904.3642343
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