arXiv cs.AI· Agnese Chiatti, Matteo Matteucci, Viola Schiaffonati·· 2 天前AI 评分22
追踪委托轨迹：多模态 AI 交互中的人类监督研究
Following Delegation Traces to Study Human Oversight in Interaction with Multimodal AI
AI 导读
一项 n=56 参与者、392 次视频问答试验的在线研究发现，交互后的信任强烈预测用户委托选择（OR=14.97），但信任与委托仍属不同维度，验证是主导策略且常与高信任共存。委托还随任务顺序增加（OR=1.22），表明存在自评信任无法捕捉的经验成分。研究据此提出"enacted delegation traces"框架，以非侵入方式观察人机协作中的委托行为。
正文 · 原文
Abstract:As multimodal AI systems are becoming our everyday thought partners, the shift towards studying how users transfer control to these systems becomes especially urgent. In this paper, we report an overview of findings from an online study with n=56 AI-literate participants and 392 Video Question Answering trials. After inspecting each multimodal AI response, participants rated task-specific trust and selected one of three intended policies for an analogous future task: reject AI assistance, use it with verification, or delegate fully to the AI. Within participants, post-interaction trust strongly predicted the user's delegation choices (OR=14.97, 95% CI [7.14,31.37]). Trust and delegation nevertheless remained distinct. Verification was the dominant policy and often co-occurred with high trust. Delegation also increased with task order after adjustment for momentary and participant-level trust (OR=1.22, 95% CI [1.02,1.45]), indicating an experience-related component that self-reported trust ratings alone could not capture. These findings motivate a shift from intended delegation to a non-intrusive observation of how delegation is enacted in collaborative human-AI tasks. We therefore conclude by proposing enacted delegation traces as a methodological framework for future studies of multimodal and agentic AI use.
| Subjects: | Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV) |
| Cite as: | arXiv:2610.21948 [cs.HC] |
| (or arXiv:2610.21948v1 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2610.21948 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Agnese Chiatti [view email]
[v1]
Thu, 15 Oct 2026 14:18:29 UTC (730 KB)
来源：arXiv cs.AI · arxiv.org