Personality of social robots perceived through the appearance

Past research showed that people are able to perceive the personality of others at zero acquaintances. There are two main ways, verbal and non-verbal methods, which play an important role for one in perceiving personality of others. Extensive research was conducted in relating personality with verba...

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Principais autores: Tay, Benedict Tiong Chee, Taezoon, Park, Xu, Qianli, Ng, Jamie, Tan, Odelia Yiling
Outros Autores: School of Mechanical and Aerospace Engineering
Formato: Journal Article
Idioma:English
Publicado em: 2013
Acesso em linha:https://hdl.handle.net/10356/96929
http://hdl.handle.net/10220/11727
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author Tay, Benedict Tiong Chee
Taezoon, Park
Xu, Qianli
Ng, Jamie
Tan, Odelia Yiling
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Tay, Benedict Tiong Chee
Taezoon, Park
Xu, Qianli
Ng, Jamie
Tan, Odelia Yiling
author_sort Tay, Benedict Tiong Chee
collection NTU
description Past research showed that people are able to perceive the personality of others at zero acquaintances. There are two main ways, verbal and non-verbal methods, which play an important role for one in perceiving personality of others. Extensive research was conducted in relating personality with verbal, paralinguistic and gestures cues. However, there are not much research, to our knowledge, that relates the appearance and perceived personality of robots. The main objective of this research is to relate individual design features with big five perceived personality of the robots. We used the results of rated perceptions across 100 pictorial images of robots and relate the results with the 40 individual design features using General Linear Model (GLM). The initial results of the GLM analysis showed that participants’ rating of personality of robot fell along the dimension of perceived friendliness which is a common rotation of extroversion and agreeableness. Some relationships were found between humanlike design features and perceived friendliness of robots. Since participants are more familiar with humans, participants perceived robots with humanlike features friendlier than the others. Some other findings such as color and surface material were found related with participants’ perceived friendliness as well. In the future, we will work on the analysis of the main and interaction effects of individual features on user’s perceived friendliness.
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spelling ntu-10356/969292020-03-07T13:22:14Z Personality of social robots perceived through the appearance Tay, Benedict Tiong Chee Taezoon, Park Xu, Qianli Ng, Jamie Tan, Odelia Yiling School of Mechanical and Aerospace Engineering Past research showed that people are able to perceive the personality of others at zero acquaintances. There are two main ways, verbal and non-verbal methods, which play an important role for one in perceiving personality of others. Extensive research was conducted in relating personality with verbal, paralinguistic and gestures cues. However, there are not much research, to our knowledge, that relates the appearance and perceived personality of robots. The main objective of this research is to relate individual design features with big five perceived personality of the robots. We used the results of rated perceptions across 100 pictorial images of robots and relate the results with the 40 individual design features using General Linear Model (GLM). The initial results of the GLM analysis showed that participants’ rating of personality of robot fell along the dimension of perceived friendliness which is a common rotation of extroversion and agreeableness. Some relationships were found between humanlike design features and perceived friendliness of robots. Since participants are more familiar with humans, participants perceived robots with humanlike features friendlier than the others. Some other findings such as color and surface material were found related with participants’ perceived friendliness as well. In the future, we will work on the analysis of the main and interaction effects of individual features on user’s perceived friendliness. 2013-07-17T06:21:42Z 2019-12-06T19:36:45Z 2013-07-17T06:21:42Z 2019-12-06T19:36:45Z 2012 2012 Journal Article Tay, B. T. C., Taezoon, P., Xu, Q., Ng, J., & Tan, O. (2012). Personality of social robots perceived through the appearance. Work: A Journal of Prevention, Assessment and Rehabilitation, 41(1), 272-276. 1051-9815 https://hdl.handle.net/10356/96929 http://hdl.handle.net/10220/11727 10.3233/WOR-2012-0168-272 en Work: a journal of prevention, assessment and rehabilitation © 2012 IOS Press and the authors.
spellingShingle Tay, Benedict Tiong Chee
Taezoon, Park
Xu, Qianli
Ng, Jamie
Tan, Odelia Yiling
Personality of social robots perceived through the appearance
title Personality of social robots perceived through the appearance
title_full Personality of social robots perceived through the appearance
title_fullStr Personality of social robots perceived through the appearance
title_full_unstemmed Personality of social robots perceived through the appearance
title_short Personality of social robots perceived through the appearance
title_sort personality of social robots perceived through the appearance
url https://hdl.handle.net/10356/96929
http://hdl.handle.net/10220/11727
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