论文标题
人工智能在人类计算机互动中的安慰剂效应
The Placebo Effect of Artificial Intelligence in Human-Computer Interaction
论文作者
论文摘要
在医学中，患者可以通过假治疗获得真正的好处。这些好处称为安慰剂效应。我们报告了两个实验（实验I：n = 369;实验II：n = 100）在自适应界面中表现出安慰剂效应。要求参与者在没有系统或自适应AI界面支持的同时解决单词难题。所有参与者都遇到了相同的拼图难度，并且在整个实验中没有AI的支持。我们的结果表明，接受自适应AI支持的信念增加了对参与者自己的任务绩效的期望，在互动后持续下去。这些期望与性能呈正相关，如解决的单词难题的数量所示。我们将发现纳入技术接受理论，并讨论对基于AI的用户界面和新技术的未来评估的影响。我们认为，系统描述可以通过用户期望来引起安慰剂效应，从而偏向以用户为中心的研究结果。
In medicine, patients can obtain real benefits from a sham treatment. These benefits are known as the placebo effect. We report two experiments (Experiment I: N=369; Experiment II: N=100) demonstrating a placebo effect in adaptive interfaces. Participants were asked to solve word puzzles while being supported by no system or an adaptive AI interface. All participants experienced the same word puzzle difficulty and had no support from an AI throughout the experiments. Our results showed that the belief of receiving adaptive AI support increases expectations regarding the participant's own task performance, sustained after interaction. These expectations were positively correlated to performance, as indicated by the number of solved word puzzles. We integrate our findings into technological acceptance theories and discuss implications for the future assessment of AI-based user interfaces and novel technologies. We argue that system descriptions can elicit placebo effects through user expectations biasing the results of user-centered studies.
