Gendering the machine

preferred virtual assistant gender and realism in self-service

Jeunese A. Payne, Andrea Szymkowiak, Paul Robertson, Graham Johnson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

A virtual agent is a human-like character that is designed to assist users in interactions with technology and virtual worlds. Research into the preferred visual characteristics of a virtual agent has focused on education-based agents, gaming avatars, and online help assistants. However, findings from these studies are not necessarily generalizable to other technologies, such as self-service checkouts (SSCO). This paper describes data from 578 participants, looking at the gender preferences of Virtual Assistants (VA) in a SSCO context and the impact of VA realism depending on user gender. Due to female participants’ preference for female VAs, and an overall preference for three-dimensional characters, a realistic, female VA should be used in SSCO. The results are discussed in terms of similarity-attraction theory and social role theory.
Original languageEnglish
Title of host publicationIntelligent Virtual Agents
Subtitle of host publication13th International Conference, IVA 2013 Edinburgh, UK, August 29-31, 2013: proceedings
EditorsRuth Aylett, Brigitte Krenn, Catherine Pelachaud, Hiroshi Shimodaira
Place of PublicationLondon
PublisherSpringer-Verlag
Pages106-115
Number of pages10
ISBN (Electronic)9783642404153
ISBN (Print)9783642404146
DOIs
Publication statusPublished - 2013
Event13th International Conference on Intelligent Virtual Agents - Edinburgh, United Kingdom
Duration: 29 Aug 201331 Aug 2013
Conference number: 13th

Publication series

NameLecture Notes in Artificial Intelligence
PublisherSpringer-Verlag
Volume8108
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Intelligent Virtual Agents
Abbreviated titleIVA 2013
CountryUnited Kingdom
CityEdinburgh
Period29/08/1331/08/13

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Education

Cite this

Payne, J. A., Szymkowiak, A., Robertson, P., & Johnson, G. (2013). Gendering the machine: preferred virtual assistant gender and realism in self-service. In R. Aylett, B. Krenn, C. Pelachaud, & H. Shimodaira (Eds.), Intelligent Virtual Agents: 13th International Conference, IVA 2013 Edinburgh, UK, August 29-31, 2013: proceedings (pp. 106-115 ). (Lecture Notes in Artificial Intelligence; Vol. 8108). London: Springer-Verlag. https://doi.org/10.1007/978-3-642-40415-3_9
Payne, Jeunese A. ; Szymkowiak, Andrea ; Robertson, Paul ; Johnson, Graham. / Gendering the machine : preferred virtual assistant gender and realism in self-service. Intelligent Virtual Agents: 13th International Conference, IVA 2013 Edinburgh, UK, August 29-31, 2013: proceedings. editor / Ruth Aylett ; Brigitte Krenn ; Catherine Pelachaud ; Hiroshi Shimodaira. London : Springer-Verlag, 2013. pp. 106-115 (Lecture Notes in Artificial Intelligence).
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abstract = "A virtual agent is a human-like character that is designed to assist users in interactions with technology and virtual worlds. Research into the preferred visual characteristics of a virtual agent has focused on education-based agents, gaming avatars, and online help assistants. However, findings from these studies are not necessarily generalizable to other technologies, such as self-service checkouts (SSCO). This paper describes data from 578 participants, looking at the gender preferences of Virtual Assistants (VA) in a SSCO context and the impact of VA realism depending on user gender. Due to female participants’ preference for female VAs, and an overall preference for three-dimensional characters, a realistic, female VA should be used in SSCO. The results are discussed in terms of similarity-attraction theory and social role theory.",
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Payne, JA, Szymkowiak, A, Robertson, P & Johnson, G 2013, Gendering the machine: preferred virtual assistant gender and realism in self-service. in R Aylett, B Krenn, C Pelachaud & H Shimodaira (eds), Intelligent Virtual Agents: 13th International Conference, IVA 2013 Edinburgh, UK, August 29-31, 2013: proceedings. Lecture Notes in Artificial Intelligence, vol. 8108, Springer-Verlag, London, pp. 106-115 , 13th International Conference on Intelligent Virtual Agents, Edinburgh, United Kingdom, 29/08/13. https://doi.org/10.1007/978-3-642-40415-3_9

Gendering the machine : preferred virtual assistant gender and realism in self-service. / Payne, Jeunese A.; Szymkowiak, Andrea; Robertson, Paul; Johnson, Graham.

Intelligent Virtual Agents: 13th International Conference, IVA 2013 Edinburgh, UK, August 29-31, 2013: proceedings. ed. / Ruth Aylett; Brigitte Krenn; Catherine Pelachaud; Hiroshi Shimodaira. London : Springer-Verlag, 2013. p. 106-115 (Lecture Notes in Artificial Intelligence; Vol. 8108).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - A virtual agent is a human-like character that is designed to assist users in interactions with technology and virtual worlds. Research into the preferred visual characteristics of a virtual agent has focused on education-based agents, gaming avatars, and online help assistants. However, findings from these studies are not necessarily generalizable to other technologies, such as self-service checkouts (SSCO). This paper describes data from 578 participants, looking at the gender preferences of Virtual Assistants (VA) in a SSCO context and the impact of VA realism depending on user gender. Due to female participants’ preference for female VAs, and an overall preference for three-dimensional characters, a realistic, female VA should be used in SSCO. The results are discussed in terms of similarity-attraction theory and social role theory.

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Payne JA, Szymkowiak A, Robertson P, Johnson G. Gendering the machine: preferred virtual assistant gender and realism in self-service. In Aylett R, Krenn B, Pelachaud C, Shimodaira H, editors, Intelligent Virtual Agents: 13th International Conference, IVA 2013 Edinburgh, UK, August 29-31, 2013: proceedings. London: Springer-Verlag. 2013. p. 106-115 . (Lecture Notes in Artificial Intelligence). https://doi.org/10.1007/978-3-642-40415-3_9