Suppr超能文献

光流是否提供关于动作的信息?

Does optic flow provide information about actions?

机构信息

School of Psychology, The University of Southern Mississippi, Hattiesburg, MS, USA.

出版信息

Atten Percept Psychophys. 2023 May;85(4):1287-1303. doi: 10.3758/s13414-023-02674-9. Epub 2023 Mar 14.

Abstract

Optic flow, the pattern of light generated in the visual field by motion of objects and the observer's body, serves as information that underwrites perception of events, actions, and affordances. This visual pattern informs the observer about their own actions in relation to their surroundings, as well as those of others. This study explored the limits of action detection for others as well as the role of optic flow. First-person videos were created using camera recordings of the actor's perspective as they performed various movements (jumping jacks, jumping, squatting, sitting, etc.). In three experiments participants attempted to detect the action from first-person video footage using open ended responses (Experiment 1), forced-choice responses (Experiment 2), and a match-to-sample paradigm (Experiment 3). It was discovered that some actions are more difficult to detect than others. When the task was challenging (Experiment 1) athletes were more accurate, but this was not the case in Experiments 2 and 3. All actions were identified above chance level across viewpoints, suggesting that invariant information was detected and used to perform the task.

摘要

光流,即物体和观察者身体运动在视野中产生的光线模式,为感知事件、动作和可及性提供了信息。这种视觉模式为观察者提供了有关自身与周围环境以及他人动作的信息。本研究探讨了对他人动作的检测极限以及光流的作用。首先,使用摄像机从演员的视角拍摄他们执行各种动作(俯卧撑、跳跃、下蹲、坐下等)的视频。在三个实验中,参与者试图通过开放式回答(实验 1)、强制选择回答(实验 2)和匹配样本范式(实验 3)从第一人称视频片段中检测动作。结果发现,有些动作比其他动作更难检测。当任务具有挑战性时(实验 1),运动员的准确性更高,但在实验 2 和 3 中并非如此。所有动作在不同视角下的识别率均高于随机水平,这表明不变信息被检测并用于执行任务。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e39/10013980/569550e3911b/13414_2023_2674_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验