Dakuo Wang
Associate Professor
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 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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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
