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Working with roubles and failures in conversation between humans and robots: workshop report.
Frank Förster1, Marta Romeo2,3, Patrick Holthaus1
1Department of Computer Science, School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, United Kingdom.
Frontiers in Robotics and AI
|December 18, 2023
Summary
Researchers explored human-robot communication failures to improve robotic speech interfaces. A workshop identified key issues and proposed a benchmark scenario for future research and development.
Area of Science:
- Human-Robot Interaction (HRI)
- Computational Linguistics
- Cognitive Science
Background:
- Miscommunication in human-robot interaction (HRI) requires systematic study.
- Interdisciplinary collaboration is crucial for advancing HRI dialogue systems.
Purpose of the Study:
- Establish a network for investigating communicative failures in robotic speech interfaces.
- Map the landscape of human-robot communication failures.
- Define a benchmark scenario for testing HRI speech interfaces.
Main Methods:
- Organized an interdisciplinary workshop with experts from robotics, HRI, dialogue systems, conversation analysis, cognitive science, and linguistics.
- Surveyed the "failure landscape" of human-robot communication.
- Discussed and proposed a benchmark scenario for testing speech interfaces.
Main Results:
- Identified key challenges and areas of miscommunication in human-robot interactions.
- Outlined a "failure landscape" specific to robotic speech interfaces.
- Initiated the development of a benchmark scenario for evaluating HRI systems.
Conclusions:
- Systematic analysis of communication failures is vital for improving human-robot interaction.
- An interdisciplinary approach is essential for addressing complex HRI challenges.
- A defined benchmark scenario can guide future research and development in robotic speech interfaces.
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