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We perceive a mind in a robot when we help it.
Tetsushi Tanibe1, Takaaki Hashimoto1, Kaori Karasawa1
1Department of Social Psychology, The University of Tokyo, Tokyo, Japan.
Plos One
|July 21, 2017
Summary
People may attribute minds to robots, especially when witnessing benevolent actions. This mind perception influences attitudes toward robots, impacting future human-robot interactions and ethical considerations.
Area of Science:
- Psychology
- Human-Robot Interaction
- Artificial Intelligence Ethics
Background:
- Mind perception, the tendency to attribute mental states to entities, influences moral judgments.
- Previous research indicates that observing immoral acts can increase mind perception towards victims.
- Understanding mind perception in human-robot interactions is crucial for developing social guidelines.
Purpose of the Study:
- To investigate how benevolent behaviors affect mind perception towards robots.
- To examine the role of perspective-taking in robot mind perception.
- To determine if mind perception mediates the relationship between benevolent interactions and positive attitudes toward robots.
Main Methods:
- A vignette experiment involving 129 participants (Mage = 21.8 years) was conducted.
- Participants were presented with scenarios of human-robot interactions.
- Mind perception, attitudes, and perspective-taking were measured.
Main Results:
- Mind perception towards robots increased when they received benevolent treatment, particularly when participants adopted an actor's perspective.
- Imagining benevolent interactions led to more positive attitudes toward the robot.
- Mind perception significantly mediated the effect of benevolent interactions on attitudes.
Conclusions:
- Benevolent actions can foster mind perception and positive attitudes towards robots, especially with active perspective-taking.
- These findings have implications for designing social rules governing human-robot relationships.
- The study provides insights into predicting human responses in future human-robot interactions.
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