Taiki Oka
Biographic Data
| ID | 8236433 |
|---|---|
| NAME | Taiki Oka |
| GIVEN NAMES | Taiki |
| FAMILY NAME | Oka |
| SIGNATURE | OKA T |
| AFFILIATIONS | Kumamoto University |
| ORCID | 0000-0002-6403-183X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Exploring the Utility of a Machine Learning Approach with Mobile‐Based Cognitive Function Tasks for Detecting Depression
Self‐report questionnaires, used for detecting major depressive disorder (MDD) in daily life, may incur biases stemming from social desirability and repetitive answers. Though detection based on mobile sensing was being developed recently, it cannot sufficiently promote self‐help action due to the characteristics of passive feedback. Thus, an active self‐monitoring and feedback system is crucial for individuals to recognize and address their malf…
The relationship of game genres, in-game purchases, and playing duration with probable gaming disorder in two independent, large-scale online surveys of Japanese adults
Validity, reliability, and correlates of the Smartphone Addiction Scale–Short Version among Japanese adults
The cross-sectional and longitudinal associations of the SAS-SV provided further evidence regarding PSU characteristics
No prominent works on this page.
Validity, reliability, and correlates of the Smartphone Addiction Scale–Short Version among Japanese adults
The cross-sectional and longitudinal associations of the SAS-SV provided further evidence regarding PSU characteristics
The relationship of game genres, in-game purchases, and playing duration with probable gaming disorder in two independent, large-scale online surveys of Japanese adults
Exploring the Utility of a Machine Learning Approach with Mobile‐Based Cognitive Function Tasks for Detecting Depression
Self‐report questionnaires, used for detecting major depressive disorder (MDD) in daily life, may incur biases stemming from social desirability and repetitive answers. Though detection based on mobile sensing was being developed recently, it cannot sufficiently promote self‐help action due to the characteristics of passive feedback. Thus, an active self‐monitoring and feedback system is crucial for individuals to recognize and address their malf…
Psychology (3 works) · Digital Mental Health Interventions (2 works) · Impact of Technology on Adolescents (2 works) · Psychiatry (2 works) · Addiction (1 work) · Advertising (1 work) · Applied Psychology (1 work) · Attention Deficit Hyperactivity Disorder (1 work) · Behavioral addiction (1 work) · Child Development and Digital Technology (1 work)