International Journal of Human-Computer Studies - Application of affective computing in humanComputer interaction
Service robots in the domestic environment: a study of the roomba vacuum in the home
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Construction and evaluation of a model of natural human motion based on motion diversity
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Housewives or technophiles?: understanding domestic robot owners
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Emotional interaction through physical movement
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
"My Roomba is Rambo": intimate home appliances
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Survey of Non-facial/Non-verbal Affective Expressions for Appearance-Constrained Robots
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Interpretation of emotional body language displayed by robots
Proceedings of the 3rd international workshop on Affective interaction in natural environments
Investigating the affective quality of motion in user interfaces to improve user experience
ICEC'10 Proceedings of the 9th international conference on Entertainment computing
Understanding how the affective quality of motion is perceived in the user interface
Computers in Entertainment (CIE) - Special Issue: Advances in Computer Entertainment Technology
Touched by a robot: an investigation of subjective responses to robot-initiated touch
Proceedings of the 6th international conference on Human-robot interaction
Emotive expression through the movement of interactive robotic vehicles
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part III
Emotional body language displayed by artificial agents
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special Issue on Affective Interaction in Natural Environments
The illusion of robotic life: principles and practices of animation for robots
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
"It's in love with you": communicating status and preference with simple product movements
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Style by demonstration for interactive robot motion
Proceedings of the Designing Interactive Systems Conference
Proceedings of the Workshop on Performance Metrics for Intelligent Systems
Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction
Design and evaluation techniques for authoring interactive and stylistic behaviors
ACM Transactions on Interactive Intelligent Systems (TiiS)
It's alive!: exploring the design space of a gesturing phone
Proceedings of Graphics Interface 2013
Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration
Communication of intent in assistive free flyers
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
Is an accelerating robot perceived as energetic or as gaining in speed?
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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Nonverbal behaviors serve as a rich source of information in inter human communication. In particular, motion cues can reveal details on a person's current physical and mental state. Research has shown, that people do not only interpret motion cues of humans in these terms, but also the motion of animals and inanimate devices such as robots. In order to successfully integrate mobile robots in domestic environments, designers have therefore to take into account how the device will be perceived by the user. In this study we analyzed the relationship between motion characteristics of a robot and perceived affect. Based on a literature study we selected two motion characteristics, namely acceleration and curvature, which appear to be most influential for how motion is perceived. We systematically varied these motion parameters and recorded participants interpretations in terms of affective content. Our results suggest a strong relation between motion parameters and attribution of affect, while the type of embodiment had no effect. Furthermore, we found that the level of acceleration can be used to predict perceived arousal and that valence information is at least partly encoded in an interaction between acceleration and curvature. These findings are important for the design of behaviors for future autonomous household robots.