ArticleFrontiers in psychology2019
To Brake or Not to Brake? Personality Traits Predict Decision-Making in an Accident Situation.
Article in Frontiers in psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Individuals' contribution to household energy savings: The role of big-two personality traits.Heliyon · 2024Article
- Feasibility of virtual reality and machine learning to assess personality traits in an organizational environment.Frontiers in psychology · 2024Article
- Autonomous Vehicles Enabled by the Integration of IoT, Edge Intelligence, 5G, and Blockchain.Sensors (Basel, Switzerland) · 2023Review
- Article
- The Theoretical Model of Decision-Making Behaviour Geospatial Analysis Using Data Obtained from the Games of Chess.International journal of environmental research and public health · 2022Article
- Predicting driving speed from psychological metrics in a virtual reality car driving simulation.Scientific reports · 2022Article
- How Does Personality Trait Affect Online Financial Service Use of College Students in China?Frontiers in psychology · 2022Article
- Automatic Decision-Making Style Recognition Method Using Kinect Technology.Frontiers in psychology · 2022Article
- How Self-Control Predicts Moral Decision Making: An Exploratory Study on Healthy Participants.International journal of environmental research and public health · 2021Article
- Moral Judgements on the Actions of Self-Driving Cars and Human Drivers in Dilemma Situations From Different Perspectives.Frontiers in psychology · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many situations require decisions to be made in very little time-in emergency or accident situations such decisions will carry potentially harmful consequences. Can we predict how people react in such situations from their personality traits alone? Since experimental tests of accident situations are not possible in the real world, existing studies usually employ text-based surveys or post-situation assessments, making predictions and generalization difficult. In the present study, we used virtual reality to create a more life-like situation in order to study decision-making under controlled circumstances. In our experiment, participants trained in an immersive car simulation to complete a race-course as fast as possible. In the testing phase, pedestrians appeared on the course without warning, forcing participants to react. The experiment used a one-shot design to avoid pre-meditation and to test naïve, rapid decision-making. Participants' reactions could be classified into two categories: people who tried to brake, and people who potentially endangered pedestrians by not braking or conducting hazardous evasion maneuvers. Importantly, this latter group of participants scored significantly higher on psychopathy-related traits among a set of personality-related factors. Additional personality factors, as well as age, gender, gaming expertise, and driving experience did not significantly influence participants' decision-making. This result was true for both a Korean sample (
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