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Backchannel Behavior Influences the Perceived Personality of Human and Artificial Communication Partners
Different applications or contexts may require different settings for a conversational AI system, as it is clear that e.g., a child-oriented system would need a different interaction style than a warning system used in emergency situations. The current article focuses on the extent to which a system...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006611/ https://www.ncbi.nlm.nih.gov/pubmed/35434608 http://dx.doi.org/10.3389/frai.2022.835298 |
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author | Blomsma, Peter Skantze, Gabriel Swerts, Marc |
author_facet | Blomsma, Peter Skantze, Gabriel Swerts, Marc |
author_sort | Blomsma, Peter |
collection | PubMed |
description | Different applications or contexts may require different settings for a conversational AI system, as it is clear that e.g., a child-oriented system would need a different interaction style than a warning system used in emergency situations. The current article focuses on the extent to which a system's usability may benefit from variation in the personality it displays. To this end, we investigate whether variation in personality is signaled by differences in specific audiovisual feedback behavior, with a specific focus on embodied conversational agents. This article reports about two rating experiments in which participants judged the personalities (i) of human beings and (ii) of embodied conversational agents, where we were specifically interested in the role of variability in audiovisual cues. Our results show that personality perceptions of both humans and artificial communication partners are indeed influenced by the type of feedback behavior used. This knowledge could inform developers of conversational AI on how to also include personality in their feedback behavior generation algorithms, which could enhance the perceived personality and in turn generate a stronger sense of presence for the human interlocutor. |
format | Online Article Text |
id | pubmed-9006611 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90066112022-04-14 Backchannel Behavior Influences the Perceived Personality of Human and Artificial Communication Partners Blomsma, Peter Skantze, Gabriel Swerts, Marc Front Artif Intell Artificial Intelligence Different applications or contexts may require different settings for a conversational AI system, as it is clear that e.g., a child-oriented system would need a different interaction style than a warning system used in emergency situations. The current article focuses on the extent to which a system's usability may benefit from variation in the personality it displays. To this end, we investigate whether variation in personality is signaled by differences in specific audiovisual feedback behavior, with a specific focus on embodied conversational agents. This article reports about two rating experiments in which participants judged the personalities (i) of human beings and (ii) of embodied conversational agents, where we were specifically interested in the role of variability in audiovisual cues. Our results show that personality perceptions of both humans and artificial communication partners are indeed influenced by the type of feedback behavior used. This knowledge could inform developers of conversational AI on how to also include personality in their feedback behavior generation algorithms, which could enhance the perceived personality and in turn generate a stronger sense of presence for the human interlocutor. Frontiers Media S.A. 2022-03-30 /pmc/articles/PMC9006611/ /pubmed/35434608 http://dx.doi.org/10.3389/frai.2022.835298 Text en Copyright © 2022 Blomsma, Skantze and Swerts. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Artificial Intelligence Blomsma, Peter Skantze, Gabriel Swerts, Marc Backchannel Behavior Influences the Perceived Personality of Human and Artificial Communication Partners |
title | Backchannel Behavior Influences the Perceived Personality of Human and Artificial Communication Partners |
title_full | Backchannel Behavior Influences the Perceived Personality of Human and Artificial Communication Partners |
title_fullStr | Backchannel Behavior Influences the Perceived Personality of Human and Artificial Communication Partners |
title_full_unstemmed | Backchannel Behavior Influences the Perceived Personality of Human and Artificial Communication Partners |
title_short | Backchannel Behavior Influences the Perceived Personality of Human and Artificial Communication Partners |
title_sort | backchannel behavior influences the perceived personality of human and artificial communication partners |
topic | Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006611/ https://www.ncbi.nlm.nih.gov/pubmed/35434608 http://dx.doi.org/10.3389/frai.2022.835298 |
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