Research on Detecting and Improving Smartphone Dependence Using AI
First written in FY2021. 1 of 2 entries say "Advanced", first in FY2022. Latest entry: FY2022.
No other company in this theme has enough history to compare yet.
- FY2022AdvancedAnnual report
「In October 2021, together with Tokyo Medical and Dental University, we began a specified clinical research study aimed at improving smartphone addiction among patients at the university's internet addiction outpatient clinic.」
The smartphone addiction research advanced from completing a survey of more than 30,000 people to beginning specified clinical research in collaboration with a medical institution. - FY2021First statedAnnual report
「In July 2020, we began research and development aimed at investigating and clarifying the actual state of smartphone addiction and commercializing a smartphone app for its improvement and prevention during fiscal 2024. This joint research addresses the detection of smartphone addiction by using AI to analyze brain information and smartphone behavioral data, and the reduction of addiction severity using Decoded Neurofeedback, a method that induces specific activity patterns in targeted brain regions. By the end of fiscal 2020, we had completed a survey of more than 30,000 people on smartphone addiction and obtained the basic information required to detect it.」
We began research and development targeting the detection of smartphone addiction using AI, its reduction using Decoded Neurofeedback, and the commercialization of an app during fiscal 2024, and completed a survey of more than 30,000 people.