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Comparing avatar game representation preferences across three age groups

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Wah Pheow TanAuthors Info & Claims

CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems

Pages 1161 - 1166

https://doi.org/10.1145/2468356.2468564

Published: 27 April 2013 Publication History

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Abstract

Avatar representation is an important interaction component of game design. In a game study of 36 mixed-age participants (teenagers, younger adults and older adults), we investigated three distinct types of avatars to differentiate user preferences and interests, primarily to determine if age affected the rating of these modalities. The results identified significant differences in the perceived attractiveness, homophily, engagement and expressiveness of the avatar representations across the three age groups, particularly in relation to the older adults. Moreover, we identified subjective variations in player's preferences towards the movement and customization of the avatar features designed. The implications of this work are briefly discussed.

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Cited By

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Cardona JLopez JVela FMoreira F(2024)Meaningful learning: motivations of older adults in serious gamesUniversal Access in the Information Society10.1007/s10209-023-00987-y23:4(1689-1704)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1007/s10209-023-00987-y
Pagáč TKriglstein S(2023)Using Audience Avatars to Increase Sense of Presence in Live-StreamsComputer-Human Interaction Research and Applications10.1007/978-3-031-49368-3_20(326-337)Online publication date: 23-Dec-2023
https://doi.org/10.1007/978-3-031-49368-3_20
Kao DMagana AMousas C(2021)Evaluating Tutorial-Based Instructions for Controllers in Virtual Reality GamesProceedings of the ACM on Human-Computer Interaction10.1145/34746615:CHI PLAY(1-28)Online publication date: 6-Oct-2021
https://dl.acm.org/doi/10.1145/3474661
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Index Terms

Comparing avatar game representation preferences across three age groups
1. Applied computing
  1. Computers in other domains
    1. Personal computers and PC applications

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Information

Published In

CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems

April 2013

3360 pages

ISBN:9781450319522

DOI:10.1145/2468356

General Chair:
Wendy E. Mackay
INRIA
,
Program Chairs:
Stephen Brewster
Glasgow University
,
Susanne Bødker
University of Aarhus

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 April 2013

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CHI '13

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SIGCHI

CHI '13: CHI Conference on Human Factors in Computing Systems

April 27 - May 2, 2013

Paris, France

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CHI EA '13 Paper Acceptance Rate 630 of 1,963 submissions, 32%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

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Cardona JLopez JVela FMoreira F(2024)Meaningful learning: motivations of older adults in serious gamesUniversal Access in the Information Society10.1007/s10209-023-00987-y23:4(1689-1704)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1007/s10209-023-00987-y
Pagáč TKriglstein S(2023)Using Audience Avatars to Increase Sense of Presence in Live-StreamsComputer-Human Interaction Research and Applications10.1007/978-3-031-49368-3_20(326-337)Online publication date: 23-Dec-2023
https://doi.org/10.1007/978-3-031-49368-3_20
Kao DMagana AMousas C(2021)Evaluating Tutorial-Based Instructions for Controllers in Virtual Reality GamesProceedings of the ACM on Human-Computer Interaction10.1145/34746615:CHI PLAY(1-28)Online publication date: 6-Oct-2021
https://dl.acm.org/doi/10.1145/3474661
Autenrieth MKober SNeuper CWood G(2020)How Much Do Strategy Reports Tell About the Outcomes of Neurofeedback Training? A Study on the Voluntary Up-Regulation of the Sensorimotor RhythmFrontiers in Human Neuroscience10.3389/fnhum.2020.0021814Online publication date: 10-Jun-2020
https://doi.org/10.3389/fnhum.2020.00218
Kao DDeterding SKhosmood FPirker JApperley T(2019)The effects of anthropomorphic avatars vs. non-anthropomorphic avatars in a jumping gameProceedings of the 14th International Conference on the Foundations of Digital Games10.1145/3337722.3341829(1-5)Online publication date: 26-Aug-2019
https://dl.acm.org/doi/10.1145/3337722.3341829
Baker SWaycott JVetere FHoang T(2019)The Technology Explorers: Partnering with Older Adults to Engage with Virtual Reality and Virtual AvatarsAgeing and Digital Technology10.1007/978-981-13-3693-5_14(231-246)Online publication date: 9-Jan-2019
https://doi.org/10.1007/978-981-13-3693-5_14
Schwind VHenze NMueller FJohnson DSchouten BToups Dugas PWyeth P(2018)Gender- and Age-related Differences in Designing the Characteristics of Stereotypical Virtual FacesProceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play10.1145/3242671.3242692(463-475)Online publication date: 23-Oct-2018
https://dl.acm.org/doi/10.1145/3242671.3242692
Carrasco RWaycott JBaker SVetere FKoskinen ILim YCerratto-Pargman TChow KOdom W(2018)Designing the Lost SelfProceedings of the 2018 Designing Interactive Systems Conference10.1145/3196709.3196773(441-452)Online publication date: 8-Jun-2018
https://dl.acm.org/doi/10.1145/3196709.3196773
Carrasco RBaker SWaycott JVetere FBrereton M(2017)Negotiating stereotypes of older adults through avatarsProceedings of the 29th Australian Conference on Computer-Human Interaction10.1145/3152771.3152795(218-227)Online publication date: 28-Nov-2017
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Schwind VWolf KHenze N(2017)FaceMaker—A Procedural Face Generator to Foster Character Design ResearchGame Dynamics10.1007/978-3-319-53088-8_6(95-113)Online publication date: 31-Mar-2017
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