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评判机器人能力:人们如何形成对机器人能力的内隐和外显印象。

Judging robot ability: How people form implicit and explicit impressions of robot competence.

机构信息

Yale University, Department of Psychology.

Hebrew University Business School, The Hebrew University of Jerusalem.

出版信息

J Exp Psychol Gen. 2024 May;153(5):1309-1335. doi: 10.1037/xge0001548.

Abstract

Robots' proliferation throughout society offers many opportunities and conveniences. However, our ability to effectively employ these machines relies heavily on our perceptions of their competence. In six studies (N = 2,660), participants played a competitive game with a robot to learn about its capabilities. After the learning experience, we measured explicit and implicit competence impressions to investigate how they reflected the learning experience. We observed two distinct dissociations between people's implicit and explicit competence impressions. Firstly, explicit impressions were uniquely sensitive to oddball behaviors. Implicit impressions only incorporated unexpected behaviors when they were moderately prevalent. Secondly, after forming a strong initial impression, explicit, but not implicit, impression updating demonstrated a positivity bias (i.e., an overvaluation of competence information). These findings suggest that the same learning experience with a robot is expressed differently at the implicit versus explicit level. We discuss implications from a social cognitive perspective, and how this work may inform emerging work on psychology toward robots. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

摘要

机器人在社会中的广泛应用带来了许多机会和便利。然而,我们能否有效地利用这些机器在很大程度上取决于我们对它们能力的认知。在六项研究中(N=2660),参与者与机器人进行了一场竞争游戏,以了解其能力。在学习体验之后,我们测量了明确和内隐的能力印象,以研究它们如何反映学习体验。我们观察到人们的内隐和外显能力印象之间存在两种明显的分离。首先,外显印象对外显行为的敏感性是独特的。只有当意外行为出现的频率适中时,内隐印象才会包含这些行为。其次,在形成强烈的初始印象后,外显印象而非内隐印象的更新表现出了一种积极偏见(即,对能力信息的高估)。这些发现表明,对于机器人的相同学习体验,在内外显层面上的表达是不同的。我们从社会认知的角度讨论了这些发现的意义,以及这项工作如何为机器人心理学的新兴工作提供信息。(PsycInfo 数据库记录(c)2024 APA,保留所有权利)。

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