Can Methods From Computational Psychology be Used to Phenotype Individuals Most Likely to be Non-adherent to Fitness Goals?
NCT04783298 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 200
Last updated 2021-03-05
Summary
This is a longitudinal study combining objective sensor data, with decision-making games and contextual personality traits to identify patterns in exercise decay. The data generated will be used to build computational models to predict digital personas, and help identify those individuals most likely to abandon exercise goals.
Conditions
- Lifestyle, Sedentary
Interventions
- OTHER
-
App
An application to deliver a series of behavioral questionnaires and decision-making game
Sponsors & Collaborators
-
Dublin City University
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2021-01-01
- Primary Completion
- 2021-12-31
- Completion
- 2021-12-31
Countries
- Ireland
Study Locations
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