Strait Megan K, Floerke Victoria A, Ju Wendy, Maddox Keith, Remedios Jessica D, Jung Malte F, Urry Heather L
Social Systems Laboratory, Computer Science, University of Texas Rio Grande ValleyEdinburg, TX, United States.
Emotion, Brain, and Behavior Laboratory, Psychology, Tufts UniversityMedford, MA, United States.
Front Psychol. 2017 Aug 30;8:1366. doi: 10.3389/fpsyg.2017.01366. eCollection 2017.
Robots intended for social contexts are often designed with explicit humanlike attributes in order to facilitate their reception by (and communication with) people. However, observation of an "uncanny valley"-a phenomenon in which highly humanlike entities provoke in human observers-has lead some to caution against this practice. Both of these contrasting perspectives on the anthropomorphic design of social robots find some support in empirical investigations to date. Yet, owing to outstanding empirical limitations and theoretical disputes, the uncanny valley and its implications for human-robot interaction remains poorly understood. We thus explored the relationship between and people's aversion toward humanlike robots via manipulation of the agents' appearances. To that end, we employed a picture-viewing task ( = 60) to conduct an experimental test ( = 72) of the uncanny valley's existence and the visual features that cause certain humanlike robots to be unnerving. Across the levels of human similarity, we further manipulated agent appearance on two dimensions, (prototypic, atypical, and ambiguous) and (robot, person), and measured participants' aversion using both subjective and behavioral indices. Our findings were as follows: (1) Further substantiating its existence, the data show a clear and consistent uncanny valley in the current design space of humanoid robots. (2) Both category ambiguity, and more so, atypicalities provoke aversive responding, thus shedding light on the visual factors that drive people's discomfort. (3) Use of the Negative Attitudes toward Robots Scale did not reveal any significant relationships between people's pre-existing attitudes toward humanlike robots and their aversive responding-suggesting positive exposure and/or additional experience with robots is unlikely to affect the occurrence of an uncanny valley effect in humanoid robotics. This work furthers our understanding of both the uncanny valley, as well as the visual factors that contribute to an agent's uncanniness.
用于社交场景的机器人通常被设计成具有明确的类人属性,以便于人们接受它们并与它们交流。然而,对“恐怖谷”现象(即高度类人的实体在人类观察者中引发反应的现象)的观察,使得一些人对这种做法提出了警告。迄今为止,关于社交机器人拟人化设计的这两种截然不同的观点在实证研究中都得到了一些支持。然而,由于存在突出的实证局限性和理论争议,“恐怖谷”及其对人机交互的影响仍然知之甚少。因此,我们通过操纵智能体的外观,探索了[此处原文缺失相关内容]与人们对类人机器人的厌恶之间的关系。为此,我们采用了一项图片观看任务(N = 60),对“恐怖谷”的存在以及导致某些类人机器人令人不安的视觉特征进行了实验测试(N = 72)。在人类相似度的各个水平上,我们进一步在两个维度上操纵智能体外观,即类别(原型、非典型和模糊)和身份(机器人、人),并使用主观和行为指标来测量参与者的厌恶程度。我们的研究结果如下:(1)数据进一步证实了其存在,表明在当前人形机器人的设计空间中存在明显且一致的“恐怖谷”现象。(2)类别模糊性,更确切地说是非典型性,都会引发厌恶反应,从而揭示了导致人们不适的视觉因素。(3)使用《对机器人的负面态度量表》并未揭示人们对类人机器人的既有态度与其厌恶反应之间存在任何显著关系,这表明对机器人的积极接触和/或更多体验不太可能影响人形机器人中“恐怖谷”效应的发生。这项工作加深了我们对“恐怖谷”以及导致智能体产生怪异感的视觉因素的理解。