TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Korn, Oliver
A1  - Stamm, Lukas
A1  - Möckl, Gerd
T1  - Designing Authentic Emotions for Non-Human Characters. A Study Evaluating Virtual Affective Behavior
T2  - DIS '17: Proceedings of the 2017 Conference on Designing Interactive Systems
N2  - While human emotions have been researched for decades, designing authentic emotional behavior for non-human characters has received less attention. However, virtual behavior not only affects game design, but also allows creating authentic avatars or robotic companions. After a discussion of methods to model and recognize emotions, we present three characters with a decreasing level of human features and describe how established design techniques can be adapted for such characters. In a study, 220 participants assess these characters' emotional behavior, focusing on the emotion "anger". We want to determine how reliable users can recognize emotional behavior, if characters increasingly do not look and behave like humans. A secondary aim is determining if gender has an impact on the competence in emotion recognition. The findings indicate that there is an area of insecure attribution of virtual affective behavior not distant but close to human behavior. We also found that at least for anger, men and women assess emotional behavior equally well.
KW  - Games
KW  - Game Design
KW  - Affective Computing
KW  - Emotions
KW  - Computer Games
Y1  - 2017
UR  - https://dl.acm.org/citation.cfm?id=3064755
SN  - 978-1-4503-4922-2
SB  - 978-1-4503-4922-2
U6  - https://doi.org/10.1145/3064663.3064755
DO  - https://doi.org/10.1145/3064663.3064755
SP  - 477
EP  - 487
PB  - ACM Press
CY  - New York
ER  -