Computational modelig of social motivation

JRCT ID: jRCT1040230055

Registered date:01/07/2023

Basic Information

• Recruitment status: Pending
• Health condition(s) or Problem(s) studied: Healthy adult
• Date of first enrollment: 01/07/2023
• Target sample size: 50
• Study type: Interventional
• Intervention(s): An intervention study in which psychological tests and trait assessments (autism spectrum traits) that implement other choice are administered to healthy adults.

Outcome(s)

• Primary Outcome: Examine preference (number of choices) for spectators who return the predicted response.

Secondary Outcome

Adaptation of a computational (reinforcement learning) model to the history (time series information of audience choice) related to action choice [Ref. 6].
An examination of the relationship between preference and parameters in the model (vulnerability to surprise) and ASD characteristics.

Key inclusion & exclusion criteria

• Age minimum: >= 18age old
• Age maximum: <= 25age old
• Gender: Both

Include criteria

Patients who meet all of the following criteria will be considered
1. Adults between the ages of 18 and 25 years old will be included in the study.
2. Patients who have given their consent to participate in this study by signing a consent form in person.

Exclude criteria

Persons with visual defects
Persons with organic diseases of the brain
Persons with psychiatric disorders
Persons with epilepsy or other neurological disorders
Other persons who the investigator deems inappropriate to participate in this study.

Related Information

• Primary Sponsor: Sumiya Motofumi
• Source(s) of Monetary Support: JSPS