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Activity Number: 567 - Digital Phenotyping – What Can Wearables and Smartphones Tell Us About Our Mental Health?
Type: Topic Contributed
Date/Time: Wednesday, July 31, 2019 : 2:00 PM to 3:50 PM
Sponsor: Mental Health Statistics Section
Abstract #304126 Presentation
Title: Modeling Smartphone-Based Social Communication with Circadian Trends
Author(s): Ian Barnett* and Grace Choi
Companies: University of Pennsylvania and University of Pennsylvania
Keywords: Digital Phenotyping; mHealth

Accurate models of smartphone call and text logs are needed to quantify social behavior. Current models for social communication tend to focus on volume related measures only. It is of great interest to capture the burstyness, when events occur rapidly followed by long intervals of no activity, as well as the circadian pattern, taking into account when events happen during the course of day, which are typically seen in human social communication dynamics. We propose a SeaHawk Process, an extension of the self-exciting Hawkes process, to allow for circadian patterns. We compare this approach with competing methods through simulation and in a digital phenotyping study of schizophrenia.

Authors who are presenting talks have a * after their name.

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