发表机构
University of British Columbia（不列颠哥伦比亚大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究通过高保真原型ProbeAssist和18人的结构化观察实验，揭示面试官将实时AI追问辅助视为支持工具但抵制其作为评估者，并提出了管理社会压力、平衡一致性与灵感、保持人际在场三项设计启示。
AI 中文摘要
在半结构化访谈中获取丰富数据对认知要求很高，这促使近期研究探索为面试官提供实时AI辅助。然而，将AI引入面试官与受访者之间的互动，会形成一种三方情境，其社会动态尚未得到充分探索。我们研究了面试官在半结构化访谈中体验AI辅助追问的方式。为了引发参与者丰富的反思，我们在高保真原型ProbeAssist中实现了两种在启动方式和粒度上有所不同的AI辅助变体。我们开展了一项以定性为先的比较性结构化观察研究，18名参与者每人完成了三次模拟访谈：一次无AI辅助，两次使用不同的AI变体。研究结果显示，参与者将AI视为支持性工具，但抵制将其作为评估者或竞争者。当他们在AI的益处与交互成本之间权衡时，围绕能动性、所有权、创造力和人际沟通出现了张力。我们为AI辅助的人与人互动提出了三点启示：管理社会压力、平衡想法一致性与灵感激发、以及保持人际在场感。
英文摘要
Eliciting rich data in semi-structured interviews is cognitively demanding, prompting recent work to explore real-time AI assistance for interviewers. However, introducing AI into the interviewer-interviewee interaction creates a triadic context whose social dynamics remain underexplored. We investigated how interviewers experience AI assistance for probing during semi-structured interviews. To elicit rich participant reflections, we implemented two variants of AI assistance differing in initiation and granularity in a high-fidelity prototype, ProbeAssist. We conducted a qualitative-first comparative structured observation study where 18 participants each completed three simulated interviews: one without AI and two with different AI variants. Findings showed that participants leveraged AI as a supportive tool but resisted it as an assessor or competitor. As they navigated AI's benefits and interaction costs, tensions emerged around agency, ownership, creativity, and interpersonal communication. We propose three implications for AI-assisted human-to-human interaction: managing social pressure, balancing idea alignment with inspiration, and preserving interpersonal presence.
Comments23 pages, 4 tables, 5 figures, under review for CHI 2027
