Dissecting the time course of person recognition in natural viewing environments
Dissecting the time course of person recognition in natural viewing environments
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DOI：
10.1111/bjop.12125
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发表时间：
2016-02-01
影响因子：
4
通讯作者：
Phillips, P. Jonathon
中科院分区：
文献类型：
--
作者：
Hahn, Carina A.;O'Toole, Alice J.;Phillips, P. Jonathon
随着一个人的接近，人的识别通常会随着时间和距离的推移而展开，来自面部，身体和运动的身份信息的质量不断变化。参与者通过近距离和远距离视频熟悉身份。通过人们从远处接近的视频来测试识别能力。我们改变了测试视频中提示响应的时间，视频的数量，以及面部，身体或整个人是否可见。还包括一个自由回答的条件，让参与者在感到自信时做出回应。不同条件下的准确性模式表明，识别判断是基于最近可用的信息，没有贡献的质量多样性和统计上有用的人的线索，在视频中较早。身体识别在观看距离上是稳定的，而面部识别随着距离的增加而提高。该机构作出了独立的贡献，承认只有在最远的距离测试。自由反应时间表表明，元知识的最佳接近的识别，从脸与身体。值得注意的是，响应偏差变化很大，作为参与者的期望是否接近视频即将到来的函数。这些发现奠定了基础，发展的人识别理论，推广到自然的观看环境。
Person recognition often unfolds over time and distance as a person approaches, with the quality of identity information from faces, bodies, and motion in constant flux. Participants were familiarized with identities using close-up and distant videos. Recognition was tested with videos of people approaching from a distance. We varied the timing of prompted responses in the test videos, the amount of video seen, and whether the face, body, or whole person was visible. A free response condition was also included to allow participants to respond when they felt confident'. The pattern of accuracy across conditions indicated that recognition judgments were based on the most recently available information, with no contribution from qualitatively diverse and statistically useful person cues available earlier in the video. Body recognition was stable across viewing distance, whereas face recognition improved with proximity. The body made an independent contribution to recognition only at the farthest distance tested. Free response latencies indicated meta-knowledge of the optimal proximity for recognition from faces versus bodies. Notably, response bias varied strongly as a function of participants' expectation about whether closer proximity video was forthcoming. These findings lay the groundwork for developing person recognition theories that generalize to natural viewing environments.