Home // ACHI 2021, The Fourteenth International Conference on Advances in Computer-Human Interactions // View article
Authors:
Alina Linda Schmitz-Hübsch
Sophie-Marie Stasch
Ron Becker
Sven Fuchs
Keywords: Affective computing; Affect-adaptive systems; Affective user state; Command-and-Control; Personality traits
Abstract:
Affect-adaptive systems are capable of adapting human-machine interaction according to the current emotional user state and situational needs. In a lab experiment (N = 51, 19-57 years, M = 32.75 SD = 9.8) we examined the interindividual differences in the relationship of emotional user states – composed of emotional valence and arousal - and performance in a command-and-control environment to set the ground for a future affect-adaptive system. We suspect that these interindividual differences are caused by two personality traits: neuroticism and conscientiousness. We used personality, valence, and arousal to model task performance in a linear mixed-model and found significant effects for valence as a random effect and arousal as a fixed effect. Furthermore, we found interaction effects with neuroticism and conscientiousness. Our results suggest that future affect-adaptive systems may benefit from considering personality traits to address interindividual differences in the relationship of emotional user state and performance.
Pages: 71 to 76
Copyright: Copyright (c) IARIA, 2021
Publication date: July 18, 2021
Published in: conference
ISSN: 2308-4138
ISBN: 978-1-61208-870-9
Location: Nice, France
Dates: from July 18, 2021 to July 22, 2021