Autistic traits and sensitivity to human-like features of robot behavior

Agnieszka Wykowska, Jasmin Kajopoulos, Karinne Ramirez-Amaro, Gordon Cheng

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

This study examined individual differences in sensitivity to human-like features of a robot's behavior. The paradigm comprised a non-verbal Turing test with a humanoid robot. A "programmed" condition differed from a "human-controlled" condition by onset times of the robot's eye movements, which were either fixed across trials or modeled after prerecorded human reaction times, respectively. Participants judged whether the robot behavior was programmed or human-controlled, with no information regarding the differences between respective conditions. Autistic traits were measured with the autism-spectrum quotient (AQ) questionnaire in healthy adults. We found that the fewer autistic traits participants had, the more sensitive they were to the difference between the conditions, without explicit awareness of the nature of the difference. We conclude that although sensitivity to fine behavioral characteristics of others varies with social aptitude, humans are in general capable of detecting human-like behavior based on very subtle cues.

Original languageEnglish
Pages (from-to)219-248
Number of pages30
JournalInteraction Studies
Volume16
Issue number2
DOIs
StatePublished - 2015

Keywords

  • Autism-Spectrum Quotient
  • Gaze cueing
  • Human-like behavior
  • Human-robot interaction
  • Individual differences
  • Non-verbal Turing test
  • Shared attention
  • Social robotics

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