Moradbakhti Laura, Schreibelmayr Simon, Mara Martina
Robopsychology Lab, Linz Institute of Technology, Johannes Kepler University, Linz, Austria.
Front Psychol. 2022 Jun 14;13:855091. doi: 10.3389/fpsyg.2022.855091. eCollection 2022.
Artificial Intelligence (AI) is supposed to perform tasks autonomously, make competent decisions, and interact socially with people. From a psychological perspective, AI can thus be expected to impact users' three Basic Psychological Needs (BPNs), namely (i) autonomy, (ii) competence, and (iii) relatedness to others. While research highlights the fulfillment of these needs as central to human motivation and well-being, their role in the acceptance of AI applications has hitherto received little consideration. Addressing this research gap, our study examined the influence of BPN Satisfaction on Intention to Use (ITU) an AI assistant for personal banking. In a 2×2 factorial online experiment, 282 participants (154 males, 126 females, two non-binary participants) watched a video of an AI finance coach with a female or male synthetic voice that exhibited either high or low agency (i.e., capacity for self-control). In combination, these factors resulted either in AI assistants conforming to traditional gender stereotypes (e.g., low-agency female) or in non-conforming conditions (e.g., high-agency female). Although the experimental manipulations had no significant influence on participants' relatedness and competence satisfaction, a strong effect on autonomy satisfaction was found. As further analyses revealed, this effect was attributable only to male participants, who felt their autonomy need significantly more satisfied by the low-agency female assistant, consistent with stereotypical images of women, than by the high-agency female assistant. A significant indirect effects model showed that the greater autonomy satisfaction that men, unlike women, experienced from the low-agency female assistant led to higher ITU. The findings are discussed in terms of their practical relevance and the risk of reproducing traditional gender stereotypes through technology design.
人工智能(AI)应该能够自主执行任务、做出明智的决策并与人们进行社交互动。从心理学角度来看,因此可以预期人工智能会影响用户的三种基本心理需求(BPNs),即(i)自主性,(ii)能力,以及(iii)与他人的关联性。虽然研究强调这些需求的满足是人类动机和幸福感的核心,但它们在人工智能应用接受度方面的作用迄今很少受到关注。为了填补这一研究空白,我们的研究考察了基本心理需求满意度对使用人工智能助手进行个人银行业务的使用意愿(ITU)的影响。在一项2×2析因在线实验中,282名参与者(154名男性、126名女性、2名非二元性别参与者)观看了一段人工智能金融教练的视频,视频中人工智能的合成语音为女性或男性,且表现出高或低的能动性(即自我控制能力)。综合起来,这些因素导致人工智能助手要么符合传统性别刻板印象(例如,低能动性女性),要么处于不符合的情况(例如,高能动性女性)。尽管实验操作对参与者的关联性和能力满意度没有显著影响,但发现对自主性满意度有强烈影响。进一步的分析表明,这种影响仅归因于男性参与者,他们觉得低能动性女性助手比高能动性女性助手更能满足他们的自主性需求,这与女性的刻板印象形象一致。一个显著的间接效应模型表明,与女性不同,男性从低能动性女性助手中获得的更高自主性满意度导致了更高的使用意愿。我们将根据研究结果的实际相关性以及通过技术设计重现传统性别刻板印象的风险来讨论这些发现。