Avatars with faces of real people: A construction method for scientific experiments in virtual reality.
Avatars with faces of real people: A construction method for scientific experiments in virtual reality.
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DOI:
10.3758/s13428-021-01676-5
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发表时间:
2022-06
影响因子:
5.4
通讯作者:
Bindemann M
中科院分区:
文献类型:
--
作者:
Fysh MC;Trifonova IV;Allen J;McCall C;Burton AM;Bindemann M
Experimental psychology research typically employs methods that greatly simplify the real-world conditions within which cognition occurs. This approach has been successful for isolating cognitive processes, but cannot adequately capture how perception operates in complex environments. In turn, real-world environments rarely afford the access and control required for rigorous scientific experimentation. In recent years, technology has advanced to provide a solution to these problems, through the development of affordable high-capability virtual reality (VR) equipment. The application of VR is now increasing rapidly in psychology, but the realism of its avatars, and the extent to which they visually represent real people, is captured poorly in current VR experiments. Here, we demonstrate a user-friendly method for creating photo-realistic avatars of real people and provide a series of studies to demonstrate their psychological characteristics. We show that avatar faces of familiar people are recognised with high accuracy (Study 1), replicate the familiarity advantage typically observed in real-world face matching (Study 2), and show that these avatars produce a similarity-space that corresponds closely with real photographs of the same faces (Study 3). These studies open the way to conducting psychological experiments on visual perception and social cognition with increased realism in VR.
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DOI:
10.3758/s13415-018-0641-1
发表时间:
2018-12
期刊:
Cognitive, affective & behavioral neuroscience
影响因子:
--
作者:
Ferguson HJ;Brunsdon VEA;Bradford EEF
通讯作者:
Bradford EEF
影响因子:
4.6
作者:
Bindemann M;Fysh MC;Sage SSK;Douglas K;Tummon HM
通讯作者:
Tummon HM
影响因子:
3.8
作者:
Bailenson, Jeremy N.;Yee, Nick;Jin, Michael
通讯作者:
Jin, Michael
影响因子:
3.8
作者:
Bläsing BE;Sauzet O
通讯作者:
Sauzet O
影响因子:
1.7
作者:
Feng, Xinran;Burton, A. Mike
通讯作者:
Burton, A. Mike