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

Journal: Journal of experimental psychology. General
Published Date:

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).

Authors

  • Nicholas Surdel
    Department of Psychology, Yale University, New Haven, CT 06520-8205, USA nicholas.surdel@yale.edu melissaj.ferguson@gmail.comhttps://www.linkedin.com/in/nsurdelwww.fergusonlab.com.
  • Yochanan E Bigman
    Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, 235 E Cameron Ave, Chapel Hill, NC 27514, USA. Electronic address: ybigman@email.unc.edu.
  • Xi Shen
    University of Pennsylvania, Annenberg School for Communication.
  • Wen-Ying Lee
    Cornell University, Department of Engineering.
  • Malte F Jung
    Department of Information Science, Cornell University, 343 Campus Rd, Ithaca, NY, 14853, USA. mjung@cornell.edu.
  • Melissa J Ferguson
    Department of Psychology, Yale University, New Haven, CT 06520-8205, USA nicholas.surdel@yale.edu melissaj.ferguson@gmail.comhttps://www.linkedin.com/in/nsurdelwww.fergusonlab.com.