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Working with troubles and failures in conversation between humans and robots: workshop report
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2023 (English)In: Frontiers in Robotics and AI, E-ISSN 2296-9144, Vol. 10Article in journal (Refereed) Published
Abstract [en]

This paper summarizes the structure and findings from the first Workshop on Troubles and Failures in Conversations between Humans and Robots. The workshop was organized to bring together a small, interdisciplinary group of researchers working on miscommunication from two complementary perspectives. One group of technology-oriented researchers was made up of roboticists, Human-Robot Interaction (HRI) researchers and dialogue system experts. The second group involved experts from conversation analysis, cognitive science, and linguistics. Uniting both groups of researchers is the belief that communication failures between humans and machines need to be taken seriously and that a systematic analysis of such failures may open fruitful avenues in research beyond current practices to improve such systems, including both speech-centric and multimodal interfaces. This workshop represents a starting point for this endeavour. The aim of the workshop was threefold: Firstly, to establish an interdisciplinary network of researchers that share a common interest in investigating communicative failures with a particular view towards robotic speech interfaces; secondly, to gain a partial overview of the “failure landscape” as experienced by roboticists and HRI researchers; and thirdly, to determine the potential for creating a robotic benchmark scenario for testing future speech interfaces with respect to the identified failures. The present article summarizes both the “failure landscape” surveyed during the workshop as well as the outcomes of the attempt to define a benchmark scenario.

Place, publisher, year, edition, pages
Frontiers Media SA , 2023. Vol. 10
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:kth:diva-341391DOI: 10.3389/frobt.2023.1202306ISI: 001125124600001Scopus ID: 2-s2.0-85179974618OAI: oai:DiVA.org:kth-341391DiVA, id: diva2:1821233
Note

QC 20231220

Available from: 2023-12-19 Created: 2023-12-19 Last updated: 2024-01-16Bibliographically approved

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Skantze, Gabriel

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CiteExportLink to record
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  • apa
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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Output format
  • html
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  • asciidoc
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