Head and shoulders: Automatic error detection in human-robot interaction

We describe a novel method for automatic detection of errors in human-robot interactions. Our approach is to detect errors based on the classification of head and shoulder movements of humans who are interacting with erroneous robots. We conducted a user study in which participants interacted with a...

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Bibliographic details
Main Author: Trung, Pauline
Giuliani, Manuel
Miksch, Michael
Stollnberger, Gerald
Stadler, Susanne
Mirnig, Nicole
Tscheligi, Manfred
Format: Conference Proceeding
Language: English
Place of publication: 14.11.2017
published in: Proceedings of International Conference on Multimodal Interaction
ORCID: 0000-0003-3781-7623
Data of publication: 2017-11-14
ISBN: 9781450355438
Online Access: available in Bonn?
Database: University of the West of England IR (UWE Bristol Research Repository)
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