"Who said that?" Applying the Situation Awareness Global Assessment Technique to Social Telepresence
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Journal ArticleDate:
2023Access:
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Adam K Coyne, Keshav Sapkota, Conor McGinn, "Who said that?" Applying the Situation Awareness Global Assessment Technique to Social Telepresence, ACM Transactions on Human-Robot Interaction, 2023Download Item:
Spatial_Audio_Paper__tHRI__Production.pdf (Accepted for publication (author's copy) - Peer Reviewed) 16.16Mb
Abstract:
As with all remotely-controlled robots, successful teleoperation of social and telepresence robots relies greatly on operator situation awareness, however existing situation awareness measurements, most being originally created for military purposes, are not adapted to the context of social interaction. We propose an objective technique for telepresence evaluation based on the widely-accepted Situation Awareness Global Assessment Technique (SAGAT), adjusted to suit social contexts.
This was trialled in a between-subjects participant study (n=56), comparing the effect of mono and spatial (binaural) audio feedback on operator situation awareness during robot teleoperation in a simulated social telepresence scenario. Subjective data was also recorded, including questions adapted from Witmer and Singer's Presence Questionnaire, as well as qualitative feedback from participants. No significant differences in situation awareness measurements were detected, however correlations observed between measures call for further research. This study and its findings are a potential starting point for the development of social situation awareness assessment techniques, which can inform future social and telepresence robot design decisions.
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http://people.tcd.ie/kavana21http://people.tcd.ie/mcginnco
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PUBLISHED
Author: Kavanagh Coyne, Adam Eric; Mc Ginn, Conor
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Journal ArticleSeries/Report no:
ACM Transactions on Human-Robot InteractionAvailability:
Full text availableSubject (TCD):
HUMAN-ROBOT INTERACTION , robot teleoperation , situation awareness , social robotics , spatial audioDOI:
https://doi.org/10.1145/3592801Licences: