The preference for surprise in reinforcement learning underlies the differences in developmental changes in risk preference between autistic and neurotypical youth.

Background: Risk preference changes nonlinearly across development. Although extensive developmental research on the neurotypical (NTP) population has shown that risk preference is highest during adolescence, developmental changes in risk preference in autistic (AUT) people, who tend to prefer predictable behaviors, have not been investigated. Here, we aimed to investigate these changes and underlying computational mechanisms.

The more random people's preference judgments are, the more they explore in gambling tasks.

Background: The decision-making process has been investigated separately in the context of externally guided decision-making (EDM, e.g., a gambling task) and internally guided decision-making (IDM, e.

Evaluating the performance of personality-based profiling in predicting physical activity.

Background: Profiling or clustering individuals based on personality and other characteristics is a common statistical approach used in marketing, medicine, and social sciences. This approach improves data simplicity, supports the implementation of a data-driven decision-making process, and guides intervention strategies, such as personalized care. However, the clustering process involves loss of information owing to the discretization of continuous variables.

Functions of Smartphone Apps and Wearable Devices Promoting Physical Activity: Six-Month Longitudinal Study on Japanese-Speaking Adults.

Background: Smartphone apps and wearable activity trackers are increasingly recognized for their potential to promote physical activity (PA). While studies suggest that the use of commercial mobile health tools is associated with higher PA levels, most existing evidence is cross-sectional, leaving a gap in longitudinal data.

Objective: This study aims to identify app-use patterns that are prospectively associated with increases in and maintenance of PA.