Journal article 148 views 25 downloads
Working with troubles and failures in conversation between humans and robots: workshop report
Frontiers in Robotics and AI, Volume: 10, Issue: Human-Robot Interaction
Swansea University Author: Julian Hough
-
PDF | Version of Record
© 2023 Förster, Romeo, Holthaus, Wood, Dondrup, Fischer, Liza, Kaszuba, Hough, Nesset, Hernández García, Kontogiorgos, Williams, Özkan, Barnard, Berumen, Price, Cobb, Wiltschko, Tisserand, Porcheron, Giuliani, Skantze, Healey, Papaioannou, Gkatzia, Albert, Huang, Maraev and Kapetanios. Distributed under the terms of a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Download (396.87KB)
DOI (Published version): 10.3389/frobt.2023.1202306
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....
| Published in: | Frontiers in Robotics and AI |
|---|---|
| ISSN: | 2296-9144 |
| Published: |
Frontiers Media SA
2023
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa64960 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| 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. |
|---|---|
| Keywords: |
Human-robot interaction, speech interfaces, dialogue systems, multi-modal interaction, communicative failure, repair |
| College: |
Faculty of Science and Engineering |
| Funders: |
The workshop, the outcomes of which are described in this paper, was funded by the UK Engineering and Physical Science Research Council (EPSRC) Robotics & Autonomous Systems Network (UK-RAS) Pump Priming programme under the project title “Charting the Limits and Developing Future Directions of Speech Interfaces for Robotics”. DG is supported under the EPSRC projects NLG for low-resource domains (EP/T024917/1) and CiViL (EP/T014598/1). Some of the authors are supported by the Engineering and Physical Sciences Research Council [grant numbers EP/V00784X/1, EP/X009343/1] including through the Trustworthy Autonomous Systems (TAS) Hub. One of the authors has been supported by the H2020 EU projects CANOPIES—A Collaborative Paradigm for Human Workers and Multi-Robot Teams in Precision Agriculture Systems, Grant Agreement 101016906. DK is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy—EXC 2002/1 “Science of Intelligence”—project number 390523135. |
| Issue: |
Human-Robot Interaction |