ArticleScientific reports2022
Cognitive load affects early processes involved in mentalizing robot behaviour.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Stability of value perception: minimal influence of framing on moral attributions to a humanoid robot.Scientific reports · 2026Article
- Tools and methods to study and replicate experiments addressing human social cognition in interactive scenarios.Behavior research methods · 2024Article
- Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task.Scientific reports · 2024Article
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Authors and funding
3 authors.
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Abstract
How individuals interpret robots' actions is a timely question in the context of the general approach to increase robot's presence in human social environment in the decades to come. Facing robots, people might have a tendency to explain their actions in mentalistic terms, granting them intentions. However, how default or controllable this process is still under debate. In four experiments, we asked participants to choose between mentalistic (intentional) and mechanistic (non-intentional) descriptions to describe depicted actions of a robot in various scenarios. Our results show the primacy of mentalistic descriptions that are processed faster than mechanistic ones (experiment 1). This effect was even stronger under high vs low cognitive load when people had to decide between the two alternatives (experiment 2). Interestingly, while there was no effect of cognitive load at the later stages of the processing arguing for controllability (experiment 3), imposing cognitive load on participants at an early stage of observation resulted in a faster attribution of mentalistic properties to the robot (experiment 4). We discuss these results in the context of the idea that social cognition is a default system.
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