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Towards self-explaining social robots. Verbal explanation strategies for a needs-based architecture

  • In order to establish long-term relationships with users, social companion robots and their behaviors need to be comprehensible. Purely reactive behavior such as answering questions or following commands can be readily interpreted by users. However, the robot's proactive behaviors, included in order to increase liveliness and improve the user experience, often raise a need for explanation. In this paper, we provide a concept to produce accessible “why-explanations” for the goal-directed behavior an autonomous, lively robot might produce. To this end we present an architecture that provides reasons for behaviors in terms of comprehensible needs and strategies of the robot, and we propose a model for generating different kinds of explanations.

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Metadaten
Document Type:Conference Object
Language:English
Author:Sonja Stange, Hendrik Buschmeier, Teena Hassan, Christopher Ritter, Stefan Kopp
Parent Title (English):AAMAS 2019 Workshop on Cognitive Architectures for HRI: Embodied Models of Situated Natural Language Interactions (MM-Cog), May 2019, Montreal, Canada
URL:https://nbn-resolving.org/urn:nbn:de:0070-pub-29345114
Date of first publication:2019/05/13
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 006 Spezielle Computerverfahren
Entry in this database:2023/04/13