Understanding Humans' Perception of Robots by Means of “Paul A. Weiss' Thought Experiment”

We explored extracting users' true latent and implicit perceptions of robots by means of “Paul A. Weiss' Thought Experiment,” which considers the relationship between the elements, organization, and function of an object. We focused on three target objects appearing in a story: “computer;” “human being;” and “robot.” Participants were asked to answer the question “What was ‘lost’ as a result of the target object being homogenized/pulverized?” The results of a correspondence analysis on the answers for the three objects clarified the participants' ambiguous and contradictory perceptions of robots, that is, “robots are neither humans nor computers” but “robots are somehow similar to humans and computers.”

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Publication Details

Published
2025-03-04
DOI
https://doi.org/10.1109/hri61500.2025.10974216
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
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article

Understanding Humans' Perception of Robots by Means of “Paul A. Weiss' Thought Experiment”

Takanori Komatsu, Koun Shirai
Robotics and Automated Systems
article

Understanding Humans' Perception of Robots by Means of “Paul A. Weiss' Thought Experiment”

Takanori Komatsu, Koun Shirai
article en

Abstract

We explored extracting users' true latent and implicit perceptions of robots by means of “Paul A. Weiss' Thought Experiment,” which considers the relationship between the elements, organization, and function of an object. We focused on three target objects appearing in a story: “computer;” “human being;” and “robot.” Participants were asked to answer the question “What was ‘lost’ as a result of the target object being homogenized/pulverized?” The results of a correspondence analysis on the answers for the three objects clarified the participants' ambiguous and contradictory perceptions of robots, that is, “robots are neither humans nor computers” but “robots are somehow similar to humans and computers.”

Meiji University (JP)
Openalex Percentile: Top 89%
Robotics and Automated Systems
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