有用性
建议(编程)
印度
联想(心理学)
心理学
广告
社会心理学
计算机科学
业务
政治学
法学
中国
程序设计语言
心理治疗师
作者
Zhang Yue,Mirjam Tuk,Anne-Kathrin Klesse
摘要
How can we increase the acceptance of artificial intelligence (AI) coaching advice? Across five studies (N=3, 780), we document that people perceive AI advice as more helpful if human input is (made) salient. Utilizing a naturalistic field setting, study 1 shows that the more students believe that an AI coach contains human input, the more helpful the advice is perceived to be. We find that highlighting human input as an intervention strategy increases the perceived helpfulness of AI advice in the context of photography, compared to various control conditions (study 2 and follow-up study in the appendix, available onlineappendix). Study 3 shows that the effect is mediated by an increased subjective understanding of AI feedback when human input is highlighted. Study 4 provides evidence through moderation and shows that the positive impact of highlighting human input disappears under low levels of subjective understanding.
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