Ambulatory audio and video recording for digital phenotyping in schizophrenia: Adherence & data usability

Tovah Cowan, Department of Psychology, Louisiana State University, Baton Rouge, USA; Center for Computation and Technology, Louisiana State University, Baton Rouge, USA.
Alex S. Cohen, Department of Psychology, Louisiana State University, Baton Rouge, USA; Center for Computation and Technology, Louisiana State University, Baton Rouge, USA.
Ian M. Raugh, Department of Psychology, University of Georgia, Athens, USA.
Gregory P. Strauss, Department of Psychology, University of Georgia, Athens, USA. Electronic address: gstrauss@uga.edu.

Abstract

Ambulatory audio and video recording provides a wealth of information which can be used for a broad range of applications, including digital phenotyping, telepsychiatry, and telepsychology. However, these technologies are in their infancy, and guidelines for their use and analysis have yet to be established. The current project used ambulatory assessment data from individuals with schizophrenia (N = 52) and controls (N = 55) over a week to assess factors influencing sufficiency and useability of video and audio data. Logistic multilevel models examined the effect of relevant variables on video provision and video quality. There was no difference by group in video provision or quality. Videos were less likely to be provided later in the study and later in the day. Video quality was lower later in the day, particularly for controls. Participants were more likely to provide videos if alone or at home than in other settings. Black participants were less likely to have analyzable video frames than White participants. These results suggest potential racial disparities in camera technologies and/or facial analysis algorithms. Implications of these findings and recommendations for future study development, such as instructions to provide to participants to optimize video quality, are discussed.