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Do you follow?: A fully automated system for adaptive robot presenters
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0003-0112-6732
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0002-8579-1790
Number of Authors: 22023 (English)In: HRI 2023: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, Association for Computing Machinery (ACM) , 2023, p. 102-111Conference paper, Published paper (Refereed)
Abstract [en]

An interesting application for social robots is to act as a presenter, for example as a museum guide. In this paper, we present a fully automated system architecture for building adaptive presentations for embodied agents. The presentation is generated from a knowledge graph, which is also used to track the grounding state of information, based on multimodal feedback from the user. We introduce a novel way to use large-scale language models (GPT-3 in our case) to lexicalise arbitrary knowledge graph triples, greatly simplifying the design of this aspect of the system. We also present an evaluation where 43 participants interacted with the system. The results show that users prefer the adaptive system and consider it more human-like and flexible than a static version of the same system, but only partial results are seen in their learning of the facts presented by the robot.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2023. p. 102-111
Keywords [en]
adaptation, behaviour tree, feedback, knowledge graph, learning, lexicalisation, multimodal
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-333378DOI: 10.1145/3568162.3576958Scopus ID: 2-s2.0-85150369153OAI: oai:DiVA.org:kth-333378DiVA, id: diva2:1785048
Conference
18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023, Stockholm, Sweden, Mar 13 2023 - Mar 16 2023
Note

Part of ISBN 9781450399647

QC 20230801

Available from: 2023-08-01 Created: 2023-08-01 Last updated: 2023-08-01Bibliographically approved

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Axelsson, AgnesSkantze, Gabriel

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Total: 94 hits
CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf