Yao, Bingsheng
Northeastern University
9 papers on CoChatORCID 0009-0004-8329-4610
Most cited papers
- Verified
Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
Xu, X., Yao, B., Dong, Y., Gabriel, S., Yu, H., Hendler, J., Ghassemi, M., Dey, A. K., & Wang, D. (2024) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Mental Health via WritingTopic Modeling
Cited by 278
- Verified
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement
Zhang, Z., Xu, Y., Wang, Y., Yao, B., Ritchie, D., Wu, T., Yu, M., Wang, D., & Li, T. J.-J. (2022) · CHI Conference on Human Factors in Computing Systems
Innovative Human-Technology InteractionSocial Robot Interaction and HRI
Cited by 174
- Verified
Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults
Yang, Z., Xu, X., Yao, B., Rogers, E., Zhang, S., Intille, S., Shara, N., Gao, G. G., & Wang, D. (2024) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Technology Use by Older AdultsTelemedicine and Telehealth Implementation
Cited by 120
- Verified
Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems
Drozdal, J., Weisz, J., Wang, D., Dass, G., Yao, B., Zhao, C., Muller, M., Ju, L., & Su, H. (2020) · Proceedings of the 25th International Conference on Intelligent User Interfaces
Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety
Cited by 119
- Verified
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis
Zhang, S., Yu, J., Xu, X., Yin, C., Lu, Y., Yao, B., Tory, M., Padilla, L. M., Caterino, J., Zhang, P., et al. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 99
- Verified
“It's a Fair Game”, or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents
Zhang, Z., Jia, M., Lee, H.-P. (., Yao, B., Das, S., Lerner, A., Wang, D., & Li, T. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems
Privacy, Security, and Data ProtectionEthics and Social Impacts of AI
Cited by 95
- Verified
User Interaction Patterns and Breakdowns in Conversing with LLM-Powered Voice Assistants
Mahmood, A., Wang, J., Yao, B., Wang, D., & Huang, C.-M. (2025) · International Journal of Human-Computer Studies
Speech and dialogue systemsAI in Service Interactions
Cited by 51
- Verified
"Mango Mango, How to Let The Lettuce Dry Without A Spinner?": Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner
Chan, S., Li, J., Yao, B., Mahmood, A., Huang, C.-M., Jimison, H., Mynatt, E. D., & Wang, D. (2023) · arXiv
Speech and dialogue systemsAI in Service Interactions
Cited by 16
- Verified
Examining Student and Teacher Perspectives on Undisclosed Use of Generative AI in Academic Work
Adnin, R., Pandkar, A., Yao, B., Wang, D., & Das, M. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Academic integrity and plagiarismArtificial Intelligence in Education
Cited by 16
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free