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IEEE Transactions on Affective Computing
Article . 2013 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Research.fi
Article . 2022 . Peer-reviewed
Data sources: Research.fi
DBLP
Article . 2013
Data sources: DBLP
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Emotional Responses to Victory and Defeat as a Function of Opponent

Authors: J. Matias Kivikangas; Niklas Ravaja;

Emotional Responses to Victory and Defeat as a Function of Opponent

Abstract

The experiment with 33 participants showed that the social relationship between players (playing a first-person shooter game against a friend or a stranger, and in single-player mode) influences phasic emotion-related psychophysiological responses to digital game events representing victory and defeat. Irrespective of opponent type, a defeat elicited increasing positive affect and decreasing negative affect (supporting earlier results), but it was most arousing when the opponent was a friend. Surprisingly, victory--in addition to positive emotion when playing against either human opponent--also elicited a negative response when the opponent was a friend. Responses to defeat in a single-player game were similar, but to a victory almost neutral. These results show that the social context affects not only the general experience, but also individual emotional responses, which has implications for adaptive game systems, experience research, and game design alike.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%
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