Is that a human? Categorization (dis)fluency drives evaluations of agents ambiguous on human-likeness
Evan W. Carr , Galit Hofree , Kayla Sheldon , Ayse P. Saygin , Piotr Winkielman
Abstract
A fundamental and seemingly unbridgeable psychological boundary divides humans and nonhumans. Essentialism theories suggest that mixing these categories violates 'natural kinds.' Perceptual theories propose that such mixing creates incompatible cues. Most theories suggest that mixed agents, with both human and nonhuman features, obligatorily elicit discomfort. In contrast, we demonstrate top-down, cognitive control of these effects�such that the discomfort with mixed agents is partially driven by disfluent categorization of ambiguous features that are pertinent to the agent. Three experiments tested this idea. Participants classified 3 different agents (humans, androids, and robots) either on the human-likeness or control dimension and then evaluated them. Classifying on the human-likeness dimensions made the mixed agent (android) more disfluent, and in turn, more disliked. Disfluency also mediated the negative affective reaction. Critically, devaluation only resulted from disfluencyAuthor | |||||
Journal series | Journal of Experimental Psychology: Human Perception and Performance, ISSN 0096-1523, (A 35 pkt) | ||||
Issue year | 2017 | ||||
Vol | 43 | ||||
No | 4 | ||||
Pages | 651 - 666 | ||||
Publication size in sheets | 0.75 | ||||
Keywords in English | emotion, categorization, judgment and decision making, cognitive processing, human-computer interaction, 2017, Cognitive Processes, Emotions, Human Computer Interaction, Robotics, Cognitive Control, Classification (Cognitive Process), Decision Making, Judgment, 2017 | ||||
ASJC Classification | ; ; | ||||
URL | http://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2017-03602-001&lang=pl&site=ehost-live | ||||
Language | en angielski | ||||
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Additional file |
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Score (nominal) | 35 | ||||
Score source | journalList | ||||
Publication indicators | : 2017 = 1.142; : 2017 = 2.289 (2) - 2017=2.855 (5) | ||||
Citation count* | 16 (2021-02-26) |
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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