most citedHarnessing the Power of AI in Qualitative Research: Role Assignment, Engagement, and User Perceptions of AI-Generated Follow-Up Questions in Semi-Structured Interviews

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2026

Ethics and Social Responsibility in AI-Assisted Interviewing: An LLM-in-the-Loop Study of AI-Generated Follow-Up Questions

He Zhang, Yueyan Liu, Xin Guan +2

Semi-structured interviews rely on timely, context-sensitive follow-up questions, yet interviewers' cognitive load and limited domain familiarity can constrain probing depth. We re…

cs.HC2026

Twitch Third-Party Developers' Support Seeking and Provision Practices on Discord

Jie Cai, He Zhang, Yueyan Liu +2

Third-party developers (TPDs) often turn to online communities for support when they can't get immediate responses from the platform. Twitch, as a leading live streaming platform,…

cs.LG2026

Strategic Advice in the Age of Personal AI

Yueyang Liu, Wichinpong Park Sinchaisri

Personal AI assistants are changing how individuals use advice. We study how an advisor should design its recommendation in anticipation of stochastic consultation with personal AI…

cs.HC2025★ 1 cited

Harnessing the Power of AI in Qualitative Research: Role Assignment, Engagement, and User Perceptions of AI-Generated Follow-Up Questions in Semi-Structured Interviews

He Zhang, Yueyan Liu, Xin Guan +2

Semi-structured interviews highly rely on the quality of follow-up questions, yet interviewers' knowledge and skills may limit their depth and potentially affect outcomes. While ma…

cs.HC2025

Customer Service Representative's Perception of the AI Assistant in an Organization's Call Center

Kai Qin, Kexin Du, Yimeng Chen +7

The integration of various AI tools creates a complex socio-technical environment where employee-customer interactions form the core of work practices. This study investigates how…