Shaping a social robot's humor with natural language generation and socially-aware reinforcement learning

  • Humor is an important aspect in human interaction to regulate conversations, increase interpersonal attraction and trust. For social robots, humor is one aspect to make interactions more natural, enjoyable, and to increase credibility and acceptance. In combination with appropriate non-verbal behavior, natural language generation offers the ability to create content on-the-fly. This work outlines the building-blocks for providing an individual, multimodal interaction experience by shaping the robot's humor with the help of Natural Language Generation and Reinforcement Learning based on human social signals.

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Author:Hannes RitschelGND, Elisabeth AndréORCiDGND
Frontdoor URL
Parent Title (English):Proceedings of the Workshop on NLG for Human–Robot Interaction: Workshop on Natural Language Generation for Human-Robot Interaction - Full day workshop at INLG 2018, November 8, 2018, Tilburg, The Netherlands
Publisher:Association for Computational Linguistics
Type:Conference Proceeding
Year of first Publication:2018
Publishing Institution:Universität Augsburg
Release Date:2018/12/11
First Page:12
Last Page:16
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Multimodale Mensch-Technik Interaktion (Human Centered Multimedia)
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)