Pinelli Mathieu, Sarda Elisa, Bry Clémentine
Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LPNC, 38000 Grenoble, France.
Nantes Université, Université Angers, Laboratoire de psychologie des Pays de la Loire, LPPL, UR 4638, F-44000 Nantes, France.
Int Rev Soc Psychol. 2023 Jul 12;36:10. doi: 10.5334/irsp.669. eCollection 2023.
Conversational agents (CAs) are increasingly being developed on commercial websites nowadays. We tested in two studies whether gender stereotypes apply to non-gendered CAs. In the first study, participants evaluated whether CAs are expected to display more masculine or feminine characteristics in situations designed to be stereotypically male or female. The sexist attitudes of the respondents were also measured. As predicted, participants perceived that a CA should be more masculine in stereotypically male situations and more feminine in stereotypically female situations. Moreover, we found that hostile sexism but not benevolent sexism moderated the effect of the gendered situation. The second study replicated the results while addressing the limits of Study 1, showing the robustness of these effects. These findings are consistent with models of gender stereotypes in humans and robots and show for the first time a moderation effect of (hostile) sexism in a customer service context with CAs. The processes involved in human relationships seem relevant in a digital environment that involves CAs. Researchers and professionals should work together to avoid reproducing and perpetuating gender stereotypes when developing CAs.
如今,商业网站上越来越多地开发出对话代理(CA)。我们在两项研究中测试了性别刻板印象是否适用于无性别特征的CA。在第一项研究中,参与者评估了在设计为典型男性或女性的情境中,CA是否应该表现出更多男性化或女性化特征。同时还测量了受访者的性别歧视态度。正如预期的那样,参与者认为CA在典型男性情境中应该更具男性化,在典型女性情境中应该更具女性化。此外,我们发现敌意性别歧视而非善意性别歧视调节了性别情境的影响。第二项研究在解决第一项研究局限性的同时重复了这些结果,表明了这些效应的稳健性。这些发现与人类和机器人中性别刻板印象的模型一致,并首次展示了在与CA的客户服务环境中(敌意)性别歧视的调节作用。在涉及CA的数字环境中,人际关系中所涉及的过程似乎具有相关性。研究人员和专业人士应共同努力,在开发CA时避免再现和延续性别刻板印象。