CORTEXA
← Browse

John M. Carroll

2 papers indexed

arxivcs.HC2026-06-29

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, Jie Cai, John M. Carroll

Semi-structured interviews rely on timely, context-sensitive follow-up questions, yet interviewers' cognitive load and limited domain familiarity can constrain probing depth. We report findings from an LLM-in-the-loop Wizard-of-Oz (WoZ) study that simulates an AI follow-up assist…

View free PDFSource page
crossrefFuture Internet2024-07-18Cited by 14

Human–AI Collaboration for Remote Sighted Assistance: Perspectives from the LLM Era

Rui Yu, Sooyeon Lee, Jingyi Xie, Syed Masum Billah, John M. Carroll

Remote sighted assistance (RSA) has emerged as a conversational technology aiding people with visual impairments (VI) through real-time video chat communication with sighted agents. We conducted a literature review and interviewed 12 RSA users to understand the technical and navi…

View free PDFSource page