Effects of a robotic storyteller's moody gestures on storytelling perception
conference paper
A parameterized behavior model was developed for robots to show mood during task execution. In this study, we applied the model to the coverbal gestures of a robotic storyteller. This study investigated whether parameterized mood expression can 1) show mood that is changing over time; 2) reinforce affect communication when other modalities exist; 3) influence the mood induction process of the story; and 4) improve listeners' ratings of the storytelling experience and the robotic storyteller. We modulated the gestures to show either a congruent or an incongruent mood with the story mood. Results show that it is feasible to use parameterized coverbal gestures to express mood evolving over time and that participants can distinguish whether the mood expressed by the gestures is congruent or incongruent with the story mood. In terms of effects on participants we found that mood-modulated gestures (a) influence participants' mood, and (b) influence participants' ratings of the storytelling experience and the robotic storyteller. © 2015 IEEE.
Topics
TNO Identifier
535456
ISBN
9781479999538
Publisher
Institute of Electrical and Electronics Engineers Inc.
Article nr.
7344609
Source title
2015 International Conference on Affective Computing and Intelligent Interaction, ACII 2015
Pages
449-455
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