Date of Award
Spring 1-1-2025
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Psychology
First Advisor
Ferguson, Melissa
Abstract
This dissertation presents 20 studies (N = 8,595) that focus on how people integrate inconsistent evidence when forming explicit (i.e., directly measured) versus implicit (i.e., indirectly measured) competence impressions of robots. It documents our attempts to understand explicit and implicit impressions’ sensitivity to counterattitudinal evidence, capacity to update, and susceptibility to pragmatic inferences. Although implicit impressions initially appeared insensitive to the robot’s inconsistent “oddball†performances (Chapter 2), subsequent experiments revealed implicit impressions can rapidly update when a single oddball provides sufficiently strong evidence of the robot’s true capabilities (Chapter 3). Furthermore, we found that explicit impressions’ sensitivity to relatively weak evidence appears to result from pragmatic demands inherent in direct, self-report measures, rather than fundamental differences in the underlying cognitive processes (Chapter 4). Collectively, this investigation challenges traditional dual-process theories of implicit social cognition and contributes to our understanding of human-robot collaboration.
Recommended Citation
Surdel, Nicholas, "From Evidence to Evaluations: Explicit and Implicit Competence Impressions of a Robot" (2025). Yale Graduate School of Arts and Sciences Dissertations. 1592.
https://elischolar.library.yale.edu/gsas_dissertations/1592