2026-04-17T03:56:22Zhttps://recercat.cat/oai/requestoai:recercat.cat:2445/1864692025-12-05T10:41:23Zcom_2072_1057col_2072_478811col_2072_478917
RECERCAT
author
Forgas Coll, Santiago
author
Huertas García, Rubén
author
Andriella, Antonio
author
Alenyà, Guillem
2022-06-09T10:00:22Z2022-06-09T10:00:22Z2022-06-012022-06-09T10:00:23Z
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.
(c) Springer Verlag, 2022 http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess
Robots
COVID-19
Intel·ligència artificial
Satisfacció del consumidor
Estudis de gènere
Robots
COVID-19
Artificial intelligence
Consumer satisfaction
Gender studies
The effects of gender and personality of robot assistants on customers' acceptance of their service
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion