When in doubt, lay it out: Over vs. under-accommodation in human-robot interaction
Publication type: Journal Article
Publication date: 2023-09-01
scimago Q1
wos Q2
SJR: 0.587
CiteScore: 3.2
Impact factor: 1.1
ISSN: 03880001, 18735746
Linguistics and Language
Language and Linguistics
Abstract
What happens when a social robot attempts to accommodate its communicative behavior towards the human interlocutor? The present experiment seeks to expand understanding of how people evaluate social robots when they (the social robots) engage in cases of over- and under-accommodation during interactions. Additionally, the current study partially replicates and extends earlier work examining nonaccommodation. Results indicated that some relationships between the stereotype content model (warmth and competence) were mediated by perceived accommodation for the evaluation outcomes. Moreover, the social robot in the overaccommodative communication condition was evaluated more positively than the social robot in the underaccommodative communication condition. As such, it is better for a social robot to be considered overaccommodative than underaccommodative.
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Edwards C., Edwards A. P., Rijhwani V. When in doubt, lay it out: Over vs. under-accommodation in human-robot interaction // Language Sciences. 2023. Vol. 99. p. 101561.
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Edwards C., Edwards A. P., Rijhwani V. When in doubt, lay it out: Over vs. under-accommodation in human-robot interaction // Language Sciences. 2023. Vol. 99. p. 101561.
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TY - JOUR
DO - 10.1016/j.langsci.2023.101561
UR - https://doi.org/10.1016/j.langsci.2023.101561
TI - When in doubt, lay it out: Over vs. under-accommodation in human-robot interaction
T2 - Language Sciences
AU - Edwards, Chad
AU - Edwards, Autumn P.
AU - Rijhwani, Varun
PY - 2023
DA - 2023/09/01
PB - Elsevier
SP - 101561
VL - 99
SN - 0388-0001
SN - 1873-5746
ER -
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@article{2023_Edwards,
author = {Chad Edwards and Autumn P. Edwards and Varun Rijhwani},
title = {When in doubt, lay it out: Over vs. under-accommodation in human-robot interaction},
journal = {Language Sciences},
year = {2023},
volume = {99},
publisher = {Elsevier},
month = {sep},
url = {https://doi.org/10.1016/j.langsci.2023.101561},
pages = {101561},
doi = {10.1016/j.langsci.2023.101561}
}