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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.CV2025
Augmenting Image Annotation: A Human-LMM Collaborative Framework for Efficient Object Selection and Label Generation
He Zhang, Xinyi Fu, John M. Carroll
Traditional image annotation tasks rely heavily on human effort for object selection and label assignment, making the process time-consuming and prone to decreased efficiency as an…
cs.HC2025
Beyond Visual Perception: Insights from Smartphone Interaction of Visually Impaired Users with Large Multimodal Models
Jingyi Xie, Rui Yu, He Zhang +3
Large multimodal models (LMMs) have enabled new AI-powered applications that help people with visual impairments (PVI) receive natural language descriptions of their surroundings t…