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

Stange S, Kopp S (2020)
In: Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. New York, NY: ACM: 619–627.

Konferenzbeitrag | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
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 explanation model based on humans' folk-psychological concepts and test different explanation strategies in specifically designed HRI scenarios with robot behaviors perceived as intentional, but differently surprising or desirable. All types of explanation strategies increased the understandability and desirability of the behaviors. While merely stating an action had similar effects as giving a reason for it (a strategy or need), combining both in a causal explanation helped the robot to better justify its behavior and to increase its understandability and desirability to a larger extent.
Stichworte
Human-Robot Interaction; Behavior Explanations; Perception Study
Erscheinungsjahr
2020
Titel des Konferenzbandes
Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
Seite(n)
619–627
Konferenz
2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI '20)
Konferenzort
Cambridge
Konferenzdatum
2020-03-23 – 2020-03-26
ISBN
978-1-4503-6746-2
Page URI
https://pub.uni-bielefeld.de/record/2939832

Zitieren

Stange S, Kopp S. Effects of a Social Robot's Self-Explanations on How Humans Understand and Evaluate Its Behavior. In: Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. New York, NY: ACM; 2020: 619–627.
Stange, S., & Kopp, S. (2020). Effects of a Social Robot's Self-Explanations on How Humans Understand and Evaluate Its Behavior. Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 619–627. New York, NY: ACM. https://doi.org/10.1145/3319502.3374802
Stange, Sonja, and Kopp, Stefan. 2020. “Effects of a Social Robot's Self-Explanations on How Humans Understand and Evaluate Its Behavior”. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 619–627. New York, NY: ACM.
Stange, S., and Kopp, S. (2020). “Effects of a Social Robot's Self-Explanations on How Humans Understand and Evaluate Its Behavior” in Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (New York, NY: ACM), 619–627.
Stange, S., & Kopp, S., 2020. Effects of a Social Robot's Self-Explanations on How Humans Understand and Evaluate Its Behavior. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. New York, NY: ACM, pp. 619–627.
S. Stange and S. Kopp, “Effects of a Social Robot's Self-Explanations on How Humans Understand and Evaluate Its Behavior”, Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, New York, NY: ACM, 2020, pp.619–627.
Stange, S., Kopp, S.: Effects of a Social Robot's Self-Explanations on How Humans Understand and Evaluate Its Behavior. Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. p. 619–627. ACM, New York, NY (2020).
Stange, Sonja, and Kopp, Stefan. “Effects of a Social Robot's Self-Explanations on How Humans Understand and Evaluate Its Behavior”. Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. New York, NY: ACM, 2020. 619–627.
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2020-01-29T08:12:38Z
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Material in PUB:
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Dissertation, die diesen PUB Eintrag enthält
Tell Me Why (and What)! Self-Explanations for Autonomous Social Robot Behavior
Stange S (2022)
Bielefeld: Universität Bielefeld.

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Appendix with additional tables
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