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Working with roubles and failures in conversation between humans and robots: workshop report.
Förster, Frank; Romeo, Marta; Holthaus, Patrick; Wood, Luke J; Dondrup, Christian; Fischer, Joel E; Liza, Farhana Ferdousi; Kaszuba, Sara; Hough, Julian; Nesset, Birthe; Hernández García, Daniel; Kontogiorgos, Dimosthenis; Williams, Jennifer; Özkan, Elif Ecem; Barnard, Pepita; Berumen, Gustavo; Price, Dominic; Cobb, Sue; Wiltschko, Martina; Tisserand, Lucien; Porcheron, Martin; Giuliani, Manuel; Skantze, Gabriel; Healey, Patrick G T; Papaioannou, Ioannis; Gkatzia, Dimitra; Albert, Saul; Huang, Guanyu; Maraev, Vladislav; Kapetanios, Epaminondas.
Affiliation
  • Förster F; Department of Computer Science, School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, United Kingdom.
  • Romeo M; Department of Computer Science, The University of Manchester, Manchester, United Kingdom.
  • Holthaus P; School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom.
  • Wood LJ; Department of Computer Science, School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, United Kingdom.
  • Dondrup C; Department of Computer Science, School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, United Kingdom.
  • Fischer JE; School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom.
  • Liza FF; School of Computer Science, University of Nottingham, Nottingham, United Kingdom.
  • Kaszuba S; School of Computing Sciences, University of East Anglia, Norwich, United Kingdom.
  • Hough J; Department of Computer, Control and Management Engineering "Antonio Ruberti", Sapienza University of Rome, Rome, Italy.
  • Nesset B; School of Mathematics and Computer Science, Swansea University, Swansea, United Kingdom.
  • Hernández García D; School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom.
  • Kontogiorgos D; School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom.
  • Williams J; Department of Computer Science, Humboldt University of Berlin, Berlin, Germany.
  • Özkan EE; Science of Intelligence, Research Cluster of Excellence, Berlin, Germany.
  • Barnard P; School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom.
  • Berumen G; School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom.
  • Price D; School of Computer Science, University of Nottingham, Nottingham, United Kingdom.
  • Cobb S; School of Computer Science, University of Nottingham, Nottingham, United Kingdom.
  • Wiltschko M; School of Computer Science, University of Nottingham, Nottingham, United Kingdom.
  • Tisserand L; School of Computer Science, University of Nottingham, Nottingham, United Kingdom.
  • Porcheron M; Institució Catalana de Recerca i Estudis Avançats, Universitat Pompeu Fabra, Barclona, Spain.
  • Giuliani M; UMR 5191 ICAR, Centre National de la Recherche Scientifique, Labex ASLAN, ENS de Lyon, Lyon, France.
  • Skantze G; School of Computer Science, University of Nottingham, Nottingham, United Kingdom.
  • Healey PGT; Computational Foundry, Faculty of Science and Engineering, Swansea University, Swansea, United Kingdom.
  • Papaioannou I; Department of Engineering, Design and Mathematics, University of the West of England, Bristol, United Kingdom.
  • Gkatzia D; Department of Speech Music and Hearing, KTH, Stockholm, Sweden.
  • Albert S; School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom.
  • Huang G; Alana AI, London, United Kingdom.
  • Maraev V; School of Computing, Engineering and the Built Environment, Edinburgh Napier University, Edinburgh, United Kingdom.
  • Kapetanios E; School of Social Sciences and Humanities, Loughborough University, Loughborough, United Kingdom.
Front Robot AI ; 10: 1202306, 2023.
Article in En | MEDLINE | ID: mdl-38106544
ABSTRACT
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Robot AI Year: 2023 Document type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Robot AI Year: 2023 Document type: Article Affiliation country: United kingdom