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Enhancing interaction through exaggerated motion synthesis

By Michael J. Gielniak

Abstract

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 a human partner to have better retention of interaction details and predictable gaze direction

Topics: Categories and Subject Descriptors I.2 [Artificial Intelligence, Robotics—Kinematics & dynamics, propelling mechanisms, H.1 [Models and Principles, User/Machine Systems, Miscellaneous] General Terms Algorithms, Experimentation, Performance Keywords Exaggeration
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.352.2226
Provided by: CiteSeerX
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