Gendering the machine: preferred virtual assistant gender and realism in self-service

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8 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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Payne, J. A., Szymkowiak, A., Robertson, P., & Johnson, G. I. (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). Springer-Verlag. https://doi.org/10.1007/978-3-642-40415-3_9