4.5 Article

Venturing into the uncanny valley of mind The influence of mind attribution on the acceptance of human-like characters in a virtual reality setting

Journal

COGNITION
Volume 160, Issue -, Pages 43-50

Publisher

ELSEVIER
DOI: 10.1016/j.cognition.2016.12.010

Keywords

Uncanny valley; Theory of mind; Social cognition; Anthropocentrism; Artificial intelligence; Virtual reality

Funding

  1. German Research Foundation (DFG) [1760]

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For more than 40 years, the uncanny valley model has captivated researchers from various fields of expertise. Still, explanations as to why slightly imperfect human-like characters can evoke feelings of eeriness remain the subject of controversy. Many experiments exploring the phenomenon have emphasized specific visual factors in connection to evolutionary psychological theories or an underlying categorization conflict. More recently, studies have also shifted away focus from the appearance of human-like entities, instead exploring their mental capabilities as basis for observers' discomfort. In order to advance this perspective, we introduced 92 participants to a virtual reality (VR) chat program and presented them with two digital characters engaged in an emotional and empathic dialogue. Using the same prerecorded 3D scene, we manipulated the perceived control type of the depicted characters (human controlled avatars vs. computer-controlled agents), as well as their alleged level of autonomy (scripted vs. self-directed actions). Statistical analyses revealed that participants experienced significantly stronger eeriness if they perceived the empathic characters to be autonomous artificial intelligences. As human likeness and attractiveness ratings did not result in significant group differences, we present our results as evidence for an uncanny valley of mind that relies on the attribution of emotions and social cognition to non-human entities. A possible relationship to the philosophy of anthropocentrism and its threat to human distinctiveness concept is discussed. (C) 2016 Elsevier B.V. All rights reserved.

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