• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar

information for practice

news, new scholarship & more from around the world


advanced search
  • gary.holden@nyu.edu
  • @ Info4Practice
  • Archive
  • About
  • Help
  • Browse Key Journals
  • RSS Feeds

The uncanny of mind in a machine: Humanoid robots as tools, agents, and experiencers

Publication date: January 2020

Source: Computers in Human Behavior, Volume 102

Author(s): Markus Appel, David Izydorczyk, Silvana Weber, Martina Mara, Tanja Lischetzke

Abstract

The uncanny valley hypothesis suggests that a high (but not perfect) human-likeness of robots is associated with feelings of eeriness. We distinguished between experience and agency as psychological representations of human-likeness. In four online experiments, vignettes about a new generation of robots were presented. The results indicate that a robot’s capacity to feel (experience) elicits stronger feelings of eeriness than a robot’s capacity to plan ahead and to exert self-control (agency, Experiment 1A), which elicits more eeriness than a robot without mind (robot as tool, Experiments 1A and 1B). This effect was attenuated when the robot was introduced to operate in a nursing environment (Experiment 2). A robot’s ascribed gender did not influence the difference between the eeriness of robots introduced as experiencers, agents, or tools (Experiment 3). Additional analyses yielded some evidence for a non-linear (quadratic) effect of participants’ age on the robot mind effects.

Read the full article ›

Posted in: Journal Article Abstracts on 09/13/2019 | Link to this post on IFP |
Share

Primary Sidebar

Categories

Category RSS Feeds

  • Calls & Consultations
  • Clinical Trials
  • Funding
  • Grey Literature
  • Guidelines Plus
  • History
  • Infographics
  • Journal Article Abstracts
  • Meta-analyses - Systematic Reviews
  • Monographs & Edited Collections
  • News
  • Open Access Journal Articles
  • Podcasts
  • Video

© 1993-2025 Dr. Gary Holden. All rights reserved.

gary.holden@nyu.edu
@Info4Practice