ACTION CATEGORIES AND THE PERCEPTION OF BIOLOGICAL MOTION

ACTION CATEGORIES AND THE PERCEPTION OF BIOLOGICAL MOTION
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DOI:
10.1068/p220015
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发表时间:
1993-01-01
期刊:
影响因子:
1.7
通讯作者:
DITTRICH, WH
DITTRICH, WH
中科院分区:
心理学4区
文献类型:
--
作者:
DITTRICH, WH

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约翰森在一个黑暗的房间里拍摄了步行者和跑步者,他们的主要关节上有灯光,并证明了这种移动的光点被认为是人类的运动。为了扩展这一发现的检测和识别的约翰森显示器的不同种类的运动在三个光点条件下进行了研究,以确定人类的行动是如何感知的生物运动信息的基础上。在每种情况下,即在正常的约翰森(光连接到关节),关节间(光连接到关节之间)和颠倒约翰森中,都呈现了运动,工具和社会行为。受试者的言语反应和识别时间进行了测量。运动行为比社会行为和工具行为得到更好、更快的认可。此外,当光点显示器以正常方向呈现而不是颠倒时,生物运动被识别得更好更快。识别率只有轻微受损的关节间的条件下。有人认为,动作和运动的感知分析开始主要是在中间层次的动作编码,包括不仅仅是运动模式或简单结构的相似性。此外,动态相位关系的编码和语义编码发生在生物运动处理的非常早期的阶段。这些结果对计算机视觉,感知模型和心理表征的影响进行了讨论。
Johansson filmed walkers and runners in a dark room with lights attached to their main joints and demonstrated that such moving light spots were perceived as human movements. To extend this finding the detection and recognition of Johansson displays of different kinds of movements under three light-spot conditions were studied to determine how human actions are perceived on the basis of biological-motion information. Locomotory, instrumental, and social actions were presented in each condition, namely in normal Johansson (light attached to joints), inter-joint (light attached between joints), and upside-down Johansson. Subjects' verbal responses and recognition times were measured. Locomotory actions were recognised better and faster than social and instrumental actions. Furthermore, biological motions were recognised much better and faster when the light-spot displays were presented in the normal orientation rather than upside down. Recognition rate was only slightly impaired under the inter-joint condition. It is argued that the perceptual analysis of actions and movements starts primarily on an intermediate level of action coding and comprises more than just the similarity of movement patterns or simple structures. Additionally, coding of dynamic phase relations and semantic coding take place at very early stages of the processing of biological motion. Implications of these results for computer vision, perceptual models, and mental representations are discussed.