Estimating Smartphone Orientation for Visualizing Behavior Around Sleep Periods in PSU Patients

The widespread use of smartphones has led to Problematic Smartphone Use (PSU), impacting academic performance, causing sleep deprivation, and deteriorating mental health. Assessing PSU often relies on biased self-reports, making it difficult for psychiatrists to accurately understand usage habits through patient interviews. This study proposes a framework using smartphone sensor logs to assess and visualize PSU habits. By analyzing smartphone orientation and spatial movements, we can detect user behavioral patterns. We focus on behaviors around sleep periods, as PSU patients tend to use their smartphones excessively, disrupting sleep and daily rhythms. The framework estimates smartphone orientations by clustering accelerometer data and determines sleep periods from lock state logs. By visualizing usage habits around sleep periods, we aim to identify unique PSU behavioral patterns and support clinical assessments. Case studies using actual log data will demonstrate the framework's effectiveness in detecting problematic behaviors. This visualization aims to be a supportive tool in clinical settings, enhancing the accuracy and reliability of PSU assessments.