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The effects of gender and personality of robot assistants on customers’ acceptance of their service
The Covid-19 pandemic has stimulated the use of social robots in front-office services. However, some initial applications yielded disappointing results, as managers were unaware of the level of development of the robots’ artificial intelligence systems. This study proposes to adapt the Almere model...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039270/ http://dx.doi.org/10.1007/s11628-022-00492-x |
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author | Forgas-Coll, Santiago Huertas-Garcia, Ruben Andriella, Antonio Alenyà, Guillem |
author_facet | Forgas-Coll, Santiago Huertas-Garcia, Ruben Andriella, Antonio Alenyà, Guillem |
author_sort | Forgas-Coll, Santiago |
collection | PubMed |
description | The Covid-19 pandemic has stimulated the use of social robots in front-office services. However, some initial applications yielded disappointing results, as managers were unaware of the level of development of the robots’ artificial intelligence systems. This study proposes to adapt the Almere model to estimate the technological acceptance of service robots, which express their gender and personality, whilst assisting consumers. A 2 × 2 (two genders vs. two personalities) between-subjects experiment was conducted with 219 participants. Model estimation with Structural Equation Modelling confirmed seven out of eight hypotheses, and all four scenarios were estimated with Ordinary Least Squares, showing that robot gender and personality affected their technological acceptance. |
format | Online Article Text |
id | pubmed-9039270 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-90392702022-04-26 The effects of gender and personality of robot assistants on customers’ acceptance of their service Forgas-Coll, Santiago Huertas-Garcia, Ruben Andriella, Antonio Alenyà, Guillem Serv Bus Empirical Article The Covid-19 pandemic has stimulated the use of social robots in front-office services. However, some initial applications yielded disappointing results, as managers were unaware of the level of development of the robots’ artificial intelligence systems. This study proposes to adapt the Almere model to estimate the technological acceptance of service robots, which express their gender and personality, whilst assisting consumers. A 2 × 2 (two genders vs. two personalities) between-subjects experiment was conducted with 219 participants. Model estimation with Structural Equation Modelling confirmed seven out of eight hypotheses, and all four scenarios were estimated with Ordinary Least Squares, showing that robot gender and personality affected their technological acceptance. Springer Berlin Heidelberg 2022-04-26 2022 /pmc/articles/PMC9039270/ http://dx.doi.org/10.1007/s11628-022-00492-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visithttp://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Empirical Article Forgas-Coll, Santiago Huertas-Garcia, Ruben Andriella, Antonio Alenyà, Guillem The effects of gender and personality of robot assistants on customers’ acceptance of their service |
title | The effects of gender and personality of robot assistants on customers’ acceptance of their service |
title_full | The effects of gender and personality of robot assistants on customers’ acceptance of their service |
title_fullStr | The effects of gender and personality of robot assistants on customers’ acceptance of their service |
title_full_unstemmed | The effects of gender and personality of robot assistants on customers’ acceptance of their service |
title_short | The effects of gender and personality of robot assistants on customers’ acceptance of their service |
title_sort | effects of gender and personality of robot assistants on customers’ acceptance of their service |
topic | Empirical Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039270/ http://dx.doi.org/10.1007/s11628-022-00492-x |
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