2026-04-13T02:59:37Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/1864692025-12-05T10:41:23Zcom_2072_1057col_2072_478811col_2072_478917

00925njm 22002777a 4500 dc Forgas Coll, Santiago author Huertas García, Rubén author Andriella, Antonio author Alenyà, Guillem author 2022-06-09T10:00:22Z 2022-06-09T10:00:22Z 2022-06-01 2022-06-09T10:00:23Z 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. 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