Fourier principles for emotion-based human figure animation
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Providing the basis for human-robot-interaction: a multi-modal attention system for a mobile robot
Proceedings of the 5th international conference on Multimodal interfaces
ACM SIGGRAPH 2005 Papers
ACM SIGGRAPH 2006 Papers
Animating responsive characters with dynamic constraints in near-unactuated coordinates
ACM SIGGRAPH Asia 2008 papers
Expressing thought: improving robot readability with animation principles
Proceedings of the 6th international conference on Human-robot interaction
Nutty tracks: symbolic animation pipeline for expressive robotics
ACM SIGGRAPH 2013 Posters
Communication of intent in assistive free flyers
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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Other than eye gaze and referential gestures (e.g. pointing), the relationship between robot motion and observer attention is not well understood. We explore this relationship to achieve social goals, such as influencing human partner behavior or directing attention. We present an algorithm that creates exaggerated variants of a motion in real-time. Through two experiments we confirm that exaggerated motion is perceptibly different than the input motion, provided that the motion is sufficiently exaggerated. We found that different levels of exaggeration correlate to human expectations of robot-like, human-like, and cartoon-like motion. We present empirical evidence that use of exaggerated motion in experiments enhances the interaction through the benefits of increased engagement and perceived entertainment value. Finally, we provide statistical evidence that exaggerated motion causes predictable human partner gaze direction and better retention of interaction details.