2015-Fodor-Agents and Avatars Event Based Analysis-ACCEPTED.pdf (309.14 kB)
Agents and avatars: event based analysis of competitive differences
conference contribution
posted on 2023-06-09, 14:29 authored by Mikael Fodor, Pejman Mirza-Babaei, Judith GoodInvestigations into playing against computer and human controlled opponents have shown higher levels of arousal against human opponents. Most experiments however measure this by using post play surveys. In contrast, the study reported in this paper used physiological measurements to allow for different events during competitive play to be analysed. Twenty participants played two death matches in Call of Duty: Black Ops 2. Although participants played against an agent in both matches, participants were told that they were playing against an agent in one match, and an avatar in the other. Significant differences in participants' arousal level were found when the enemy was first encountered, though measures became more mixed as the interactions played out. The believability of the avatar may have influenced the results, as not all participants seemed convinced of the humanity of the AI. Overall, the experimental results can form a basis for further investigation into this area.
History
Publication status
- Published
File Version
- Accepted version
Journal
Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in PlayPublisher
Association for Computing MachineryExternal DOI
Page range
511-516Event name
CHI Play 2015 The ACM SIGCHI Annual Symposium on Computer-Human Interaction in PlayEvent location
London, UKEvent type
conferenceEvent date
October 3-5, 2015ISBN
9781450334662Department affiliated with
- Informatics Publications
Research groups affiliated with
- Creative Technology Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2018-08-13First Open Access (FOA) Date
2018-08-13First Compliant Deposit (FCD) Date
2018-08-09Usage metrics
Categories
No categories selectedLicence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC