
Contents
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Introduction and Motivation Introduction and Motivation
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Roles of Emotion in Robotics Roles of Emotion in Robotics
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Adaptive Behavior for Survival Adaptive Behavior for Survival
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Human-Robot Interaction Human-Robot Interaction
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Definitions in Context Definitions in Context
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A Few Short Exemplars A Few Short Exemplars
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Affective Robotics Affective Robotics
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Affective Models and Architectures Affective Models and Architectures
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TAME: Traits, Attitudes, Moods, Emotions TAME: Traits, Attitudes, Moods, Emotions
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DIARC Architecture DIARC Architecture
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Socially Interactive Affective Robots Socially Interactive Affective Robots
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Robot Emotions Robot Emotions
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Beyond Emotions: Multiple Affective Phenomena in Robots Beyond Emotions: Multiple Affective Phenomena in Robots
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Roboceptionist—A Combination of Emotions, Moods, and Attitudes Roboceptionist—A Combination of Emotions, Moods, and Attitudes
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Waseda Eye No. 4—A Combination of Emotions, Moods, and Personality Waseda Eye No. 4—A Combination of Emotions, Moods, and Personality
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Combining Emotions and Moods on iCat Combining Emotions and Moods on iCat
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Combining Emotions and Motivational Drives in Kismet Combining Emotions and Motivational Drives in Kismet
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Affect for Enhancing Robotic Behavior Affect for Enhancing Robotic Behavior
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Methods and Metrics—Measures of Success in Affective HRI Methods and Metrics—Measures of Success in Affective HRI
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Self-Assessments Self-Assessments
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Existing Psychometric Tests Existing Psychometric Tests
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HRI-Specific Tools HRI-Specific Tools
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Behavioral and Psychophysiological Measures Behavioral and Psychophysiological Measures
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Task Performance Task Performance
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Ethical Questions and Future Directions Ethical Questions and Future Directions
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Note Note
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References References
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36 Affect in Human-Robot Interaction
Get accessRonald C. Arkin is Regents' Professor and Associate Dean for Research in the College of Computing at Georgia Tech. He served as STINT visiting Professor at KTH in Stockholm, Sabbatical Chair at the Sony IDL in Tokyo, and the Robotics and AI Group at LAAS/CNRS in Toulouse. Dr. Arkin's research interests include behavior-based control and action-oriented perception for mobile robots and UAVs, hybrid deliberative/reactive architectures, robot survivability, multiagent robotics, biorobotics, human-robot interaction, robot ethics, and learning in autonomous systems. Prof. Arkin served on the Board of Governors of the IEEE Society on Social Implications of Technology, the IEEE Robotics and Automation (RAS) Society AdCom, and is a founding co-chair of IEEE RAS TC on Robot Ethics. He is a Distinguished Lecturer for the IEEE Society on Social Implications of Technology and a Fellow of the IEEE.
Lilia Moshkin, Naval Research Laboratory, Washington, DC
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Published:01 July 2014
Cite
Abstract
This chapter is from the forthcoming The Oxford Handbook of Affective Computing edited by Rafael Calvo, Sidney K. D'Mello, Jonathan Gratch, and Arvid Kappas. More and more, robots are expected to interact with humans in a social, easily understandable manner, which presupposes effective use of robot affect. This chapter provides a brief overview of research advances into this important aspect of human-robot interaction. In particular, we focus on the benefit provided for a human interacting with a robot using mechanisms for increasing the bandwidth in communication, including nonverbal methods to create a more effective and stronger relationship between artifact and person. This is illustrated in the context of a range of robot architectural exemplars.
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