显著、可分解且不可见：物理任务教学视频中的视觉情境错位
Substantial, Decomposable, and Invisible: Visual Context Misalignment in Instructional Videos for Physical Tasks
Yayuan Li, Chenglin Li, Jingying Wang, Filippos Bellos, Anhong Guo, Jason J. Corso
AI 速读 基于摘要
作者通过两项研究考察教学视频与用户视觉情境不匹配的影响，发现对齐能提升完成质量与速度，且该效应可分解为四类视觉情境属性，但用户对单属性错位造成的影响缺乏感知。
cs.HC
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Instructional videos are the dominant medium for completing physical tasks, yet rarely match the user's visual context. Motor simulation and cognitive load theories predict this mismatch matters, but how much, which attributes are responsible, and how users experience it remain unknown. We conduct two studies (56 participants, two first-aid and two cooking tasks) using researcher-prepared recordings to control visual alignment. Study 1 (N=16) compares fully aligned In-Context instructional videos (ICON) against business-as-usual Internet videos. ICON yields statistically significant gains: 11.1% higher completion quality and 15.5% faster completion. Qualitative analysis decomposes the effect into four visual context attributes: Task Object Intrinsic, Task Object State, Environmental Context, and Observational Context. Study 2 (N=40) ablates attributes one at a time. All four degrade objective performance yet users perceive no performance loss for any of them. Visual context misalignment is substantial, decomposable, and invisible to the user for any single attribute.