Wanqing (Psyche) He

Wanqing (Psyche) He

she/her

PhD Candidate, Information Science (HCI), Cornell University. Researching AI-Mediated Communication, Conversation dynamics in Turn-taking, and Interactive Alignment.

Sitemap

A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

portfolio

XPLAIN — Proactive Meeting AI

A real-time AI-mediated communication system that uses LLM-based cognitive scaffolding to support non-native speakers in online meetings. Selected for Cornell eLab 2024 cohort.

publications

How Thanking Peers Sustains Volunteer Participation in Public Goods: Parallel Field Experiments in Four Wikipedia Language Communities

Under review at Proceedings of the National Academy of Sciences (PNAS), 2025

Parallel field experiments across four Wikipedia language communities examining how gratitude sustains volunteer participation in public goods.

Recommended citation: Matias, J. N., Kamin, J., Al-Kashif, R., He, W. P., Klein, M., & Pennington, E. "How Thanking Peers Sustains Volunteer Participation in Public Goods: Parallel Field Experiments in Four Wikipedia Language Communities." Proc Natl Acad Sci USA (PNAS). (Under review)

Exploring Content Predictability in Turn-taking Through Different Computer-Mediated Communications

Published in 31st International Conference on Computational Linguistics (COLING), 2025

Exploring how content predictability varies across different computer-mediated communication modalities during turn-taking.

Recommended citation: He, W., MacDonald, C. C., Yoo, Y., Eizayaga, M., Shim, R., Katreczko, L. D., & Fussell, S. R. (2025). "Exploring Content Predictability in Turn-taking Through Different Computer-Mediated Communications." Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025), pages 7949–7962. Abu Dhabi, UAE. Association for Computational Linguistics.
Download Paper

Difference in the Cognitive Mechanism of Predictive Processing in Computer-Mediated Communication: A Comparison Study of L2 Speakers

Published in Annual Meeting of the Cognitive Science Society (CogSci), 2025

A comparison study examining differences in cognitive mechanisms of predictive processing in computer-mediated communication for L2 speakers.

Recommended citation: He, W. P. & Fussell, S. R. (2025). "Difference in the Cognitive Mechanism of Predictive Processing in Computer-Mediated Communication: A Comparison Study of L2 Speakers." Proceedings of the 47th Annual Meeting of the Cognitive Science Society (CogSci 2025). San Francisco, CA.
Download Paper

Proactivity in Scaffolding Comprehension and Production in Real-Time Turn-Taking: A Case Study of Bridging Communication Gaps for Non-Native Speakers

Published in CSCW Companion '25 (Short Work-in-Progress), 2025

Short work-in-progress paper introducing the proactive-scaffolding design space for non-native speakers in real-time conversation; full manuscript in preparation.

Recommended citation: He, W. P. & Fussell, S. R. (2025). "Proactivity in Scaffolding Comprehension and Production in Real-Time Turn-Taking: A Case Study of Bridging Communication Gaps for Non-Native Speakers." Companion Publication of the 28th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW Companion '25). Bergen, Norway. ACM.
Download Paper

Disfluency as a Window into Cognitive Mediation: Psycholinguistic Metrics for Evaluating AI-Integrated Spoken Communication

Published in Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

Proposing psycholinguistic metrics based on speech disfluency patterns for evaluating cognitive mediation in AI-integrated spoken communication.

Recommended citation: He, W. P. (2026). "Disfluency as a Window into Cognitive Mediation: Psycholinguistic Metrics for Evaluating AI-Integrated Spoken Communication." Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems. Barcelona, Spain.
Download Paper

XPLAIN: A Proactive Scaffold Across Speech Processing Stages—Supporting Non-Native Speakers in Real-Time AI-Mediated Turn-Taking

Under review at ACM Conference on Conversational User Interfaces (CUI 2026), 2026

A proactive AI scaffolding system targeting cognitive bottlenecks across speech processing stages to support non-native speakers in real-time AI-mediated turn-taking.

Recommended citation: He, W. P. & Fussell, S. R. (2026). "XPLAIN: A Proactive Scaffold Across Speech Processing Stages—Supporting Non-Native Speakers in Real-Time AI-Mediated Turn-Taking." Proceedings of the ACM Conference on Conversational User Interfaces (CUI 2026). (Under review)

User Heterogeneity in AI-Mediated Communication: Extending Cognitive Theories via Latent Class Analysis

Accepted at Annual Meeting of the Cognitive Science Society (CogSci 2026), 2026

Extending cognitive theories of AI-mediated communication via latent class analysis on qualitative interview data, revealing domain-specific user adaptation patterns rather than a global typology.

Recommended citation: He, W. P. & Fussell, S. R. (2026). "User Heterogeneity in AI-Mediated Communication: Extending Cognitive Theories via Latent Class Analysis." Proceedings of the 48th Annual Meeting of the Cognitive Science Society (CogSci 2026). Rio de Janeiro, Brazil. (Accepted)

talks

teaching