Effects of a Social Robot's Self-Explanations on How Humans Understand and Evaluate Its Behavior

Social robots interacting with users in real-life environments will often show surprising or even undesirable behavior. In this paper we investigate whether a robot's ability to self-explain its behavior affects the users' perception and assessment of this behavior. We propose an explanati...

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Veröffentlicht in:	2020 15th ACM/IEEE International Conference on Human-Robot Interaction (HRI) S. 619 - 627
Hauptverfasser:	Stange, Sonja, Kopp, Stefan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	New York, NY, USA ACM 09.03.2020
Schriftenreihe:	ACM Conferences
Schlagworte:	Behavior Explanations Human computer interaction Human-centered computing > Human computer interaction (HCI) > Empirical studies in HCI Human-centered computing > Human computer interaction (HCI) > HCI design and evaluation methods > User studies Human-centered computing > Interaction design > Empirical studies in interaction design Human-centered computing > Interaction design > Interaction design process and methods > Scenario-based design Human-robot interaction Perception Study Robots human-robot interaction behavior explanations perception study
ISBN:	1450367461, 9781450367462
ISSN:	2167-2148
Online-Zugang:	Volltext
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