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Elements of humor: How humans perceive verbal and non-verbal aspects of humorous robot behavior

Mirnig, Nicole; Stollnberger, Gerald; Giuliani, Manuel; Tscheligi, Manfred

Authors

Nicole Mirnig

Gerald Stollnberger

Manuel Giuliani Manuel.Giuliani@uwe.ac.uk
Co- Director Bristol Robotics Laboratory

Manfred Tscheligi



Abstract

We performed a preliminary online survey to explore if verbal and non-verbal robot humor elements influence how humans
rate a robot's funniness. The video-based survey comprised four conditions, each showing a short clip of a NAO robot in a receptionist scenario, showing different behavior. Although participants' ratings of the funniness level did not
differ significantly between robot behaviors, we interpret this result as an indicator that humor is not made from single elements. Humor is multilayered and often only works when different signals are combined. Creating funny robots will require more detailed research on multimodal behaviors.

Citation

Mirnig, N., Stollnberger, G., Giuliani, M., & Tscheligi, M. (2017, March). Elements of humor: How humans perceive verbal and non-verbal aspects of humorous robot behavior. Paper presented at ACM/IEEE International Conference on Human-Robot Interaction 2017, Vienna, Austria

Presentation Conference Type Conference Paper (unpublished)
Conference Name ACM/IEEE International Conference on Human-Robot Interaction 2017
Conference Location Vienna, Austria
Start Date Mar 6, 2017
End Date Mar 9, 2017
Acceptance Date Mar 6, 2017
Publication Date Mar 6, 2017
Deposit Date Apr 20, 2017
Peer Reviewed Peer Reviewed
Pages 211-212
Keywords elements, humor, humans, perceive, verbal, non-verbal, humorous, robot, behaviour
Public URL https://uwe-repository.worktribe.com/output/897247
Publisher URL http://dl.acm.org/citation.cfm?id=3038337&CFID=926192940&CFTOKEN=43051335
Additional Information Title of Conference or Conference Proceedings : 2017 ACM/IEEE International Conference on Human-Robot Interaction