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The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
Published on: October 20, 2022
The modular nature of trustworthiness detection
Jean-François Bonnefon1, Astrid Hopfensitz2, Wim De Neys3
1Cognition, Langues, Langage et Ergonomie, Centre National de la Recherche Scientifique.
Detecting trustworthiness from faces is an effortless ability, independent of general intelligence. This process is impaired by non-facial cues, leading to inaccurate conscious judgments in economic interactions.
Area of Science:
- Cognitive Psychology
- Social Neuroscience
- Behavioral Economics
Background:
- Wise trust facilitates success and prosperity.
- Previous conjectures suggested higher intelligence aids in detecting untrustworthiness.
Purpose of the Study:
- To investigate if trustworthiness detection from faces is linked to general intelligence.
- To explore the modularity and effortlessness of trustworthiness perception.
- To understand how non-facial cues influence trustworthiness judgments.
Main Methods:
- Five trust game studies were conducted.
- Participants' ability to detect trustworthiness from faces was assessed.
- The influence of general intelligence and non-facial features was examined.
Main Results:
- Trustworthiness detection from faces is a modular process, independent of general intelligence.
- This detection is an effortless ability.
- Non-facial features (hair, clothing) impair detection by increasing reliance on conscious judgments.
- Despite this, people prefer decisions based on images with non-facial features.
Conclusions:
- Trustworthiness detection in economic interactions is an innate, effortless ability.
- Cognitive capacity does not influence this ability.
- Reliance on conscious judgments and preference for complex visual information can lead to inaccurate assessments.
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