Using smartphones to optimise and scale-up the assessment of model-based planning
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View abstract on PubMed
Summary
This summary is machine-generated.This study developed a smartphone game to measure model-based planning at home. Optimized game features allow for sensitive detection of compulsive symptoms using fewer trials.
Area Of Science
- Cognitive Psychology
- Computational Neuroscience
- Behavioral Science
Background
- Model-based planning is crucial for flexible behavior, contrasting with habitual responses.
- Reduced model-based planning is linked to compulsivity, but previous measures show small effect sizes.
- Task design may influence the reliability and validity of model-based planning assessments.
Purpose Of The Study
- To develop and validate a smartphone-based tool for measuring model-based planning in a home environment.
- To investigate how game structure affects the reliability and validity of model-based planning measures.
- To optimize the assessment for sensitivity to compulsive symptoms.
Main Methods
- Developed a diamond-shooting smartphone game to quantify model-based planning.
- Manipulated game structure (e.g., number of trials, transition ratios, reward drift) within and across participants.
- Assessed measurement reliability and validity against established correlates of model-based planning, focusing on compulsivity.
Main Results
- Model-based planning can be reliably measured at home using a smartphone application.
- Estimating model-based planning required fewer trials than anticipated, with early trials containing the most signal.
- Associations between model-based planning and compulsivity were stronger with less deterministic transition ratios and specific reward drift parameters.
Conclusions
- A novel smartphone game effectively measures model-based planning in a naturalistic setting.
- Optimized game design, particularly early trials and specific ratio/drift parameters, enhances sensitivity to compulsive traits.
- This approach offers a scalable and sensitive method for studying model-based planning and its relation to compulsivity in the general population.
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