Kentaro Katahira
Biographic Data
| ID | 4152268 |
|---|---|
| NAME | Kentaro Katahira |
| GIVEN NAMES | Kentaro |
| FAMILY NAME | Katahira |
| SIGNATURE | KATAHIRA K |
| AFFILIATIONS | National Institute of Advanced Industrial Science and Technology |
| ORCID | 0000-0002-2018-3938 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Factor structure of self-reported health literacy scales: A large-scale cross-sectional study among Japanese-speaking adults
The importance of health literacy has become widely recognized in the fields of psychology and public health over past decades, during which more than 100 health-literacy scales have been developed. These scales typically have unique targets (or subscales), leading to an enormous number of factors proposed across scales. However, conceptual overlaps and redundancy are left unresolved. This study therefore explored the factor structure of 219 item…
When to stop social learning from a predecessor in an information-foraging task
Striking a balance between individual and social learning is one of the key capabilities that support adaptation under uncertainty. Although intergenerational transmission of information is ubiquitous, little is known about when and how newcomers switch from learning loyally from preceding models to exploring independently. Using a behavioural experiment, we investigated how social information available from a preceding demonstrator affects the t…
Does the reliability of computational models truly improve with hierarchical modeling? Some recommendations and considerations for the assessment of model parameter reliability: Reliability of computa…
Computational modeling of behavior is increasingly being adopted as a standard methodology in psychology, cognitive neuroscience, and computational psychiatry. This approach involves estimating parameters in a computational (or cognitive) model that represents the computational processes of the underlying behavior. In this approach, the reliability of the parameter estimates is an important issue. The use of hierarchical (Bayesian) approaches, wh…
The more random people’s preference judgments are, the more they explore in gambling tasks
This study demonstrates the close relationship between these two types of decision-making and offers a more comprehensive understanding of the human decision-making process
Evaluating the performance of personality-based profiling in predicting physical activity
The cluster solution suggested by conventional statistical criteria may not be optimal when clusters are used to predict external outcomes
Computational Psychiatry Research Map (CPSYMAP): A New Database for Visualizing Research Papers
The field of computational psychiatry is growing in prominence along with recent advances in computational neuroscience, machine learning, and the cumulative scientific understanding of psychiatric disorders. Computational approaches based on cutting-edge technologies and high-dimensional data are expected to provide an understanding of psychiatric disorders with integrating the notions of psychology and neuroscience, and to contribute to clinica…
No prominent works on this page.
Computational Psychiatry Research Map (CPSYMAP): A New Database for Visualizing Research Papers
The field of computational psychiatry is growing in prominence along with recent advances in computational neuroscience, machine learning, and the cumulative scientific understanding of psychiatric disorders. Computational approaches based on cutting-edge technologies and high-dimensional data are expected to provide an understanding of psychiatric disorders with integrating the notions of psychology and neuroscience, and to contribute to clinica…
Does the reliability of computational models truly improve with hierarchical modeling? Some recommendations and considerations for the assessment of model parameter reliability: Reliability of computa…
Computational modeling of behavior is increasingly being adopted as a standard methodology in psychology, cognitive neuroscience, and computational psychiatry. This approach involves estimating parameters in a computational (or cognitive) model that represents the computational processes of the underlying behavior. In this approach, the reliability of the parameter estimates is an important issue. The use of hierarchical (Bayesian) approaches, wh…
The more random people’s preference judgments are, the more they explore in gambling tasks
This study demonstrates the close relationship between these two types of decision-making and offers a more comprehensive understanding of the human decision-making process
Evaluating the performance of personality-based profiling in predicting physical activity
The cluster solution suggested by conventional statistical criteria may not be optimal when clusters are used to predict external outcomes
Factor structure of self-reported health literacy scales: A large-scale cross-sectional study among Japanese-speaking adults
The importance of health literacy has become widely recognized in the fields of psychology and public health over past decades, during which more than 100 health-literacy scales have been developed. These scales typically have unique targets (or subscales), leading to an enormous number of factors proposed across scales. However, conceptual overlaps and redundancy are left unresolved. This study therefore explored the factor structure of 219 item…
When to stop social learning from a predecessor in an information-foraging task
Striking a balance between individual and social learning is one of the key capabilities that support adaptation under uncertainty. Although intergenerational transmission of information is ubiquitous, little is known about when and how newcomers switch from learning loyally from preceding models to exploring independently. Using a behavioural experiment, we investigated how social information available from a preceding demonstrator affects the t…
Psychology (6 works) · Computer Science (5 works) · Artificial Intelligence (3 works) · Mathematics (3 works) · Social Psychology (3 works) · Social Psychology (3 works) · Statistics (3 works) · Behavioral Health and Interventions (2 works) · Cognitive psychology (2 works) · Computational model (2 works)