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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20251016T135127Z
LOCATION:Riverside East
DTSTART;TZID=America/Chicago:20251015T173000
DTEND;TZID=America/Chicago:20251015T183000
UID:HFESAM_ASPIRE 2025_sess138_POST498@linklings.com
SUMMARY:Satisfaction of Automated Video Interviews Compared to Other Quest
 ionnaires for Depression Assessment
DESCRIPTION:Rezvan Yousefi, Carlo Maley, and Erin Chiou (Arizona State Uni
 versity)\n\nThis study aims to evaluate the impact of video synchronizing 
 interviews on patients’ satisfaction using automated systems compared to c
 linical questionnaires and a Storyline questionnaire provided by Storyline
  Health, a digital platform that allows patients to track symptoms, manage
  health data, and participate in research studies. Since depression is one
  of the most common and misdiagnosed mental disorders, there is a clinical
  need for the diagnosis to be accurate to provide appropriate treatment fo
 r patients. Data were collected from 322 participants with depression thro
 ugh the Storyline AI platform and Prolific. The findings indicated signifi
 cant differences between the Storyline questionnaire, the Storyline video 
 interview questionnaire, and the clinical questionnaire. The Storyline que
 stionnaire had greater satisfaction ratings than the Storyline video-based
  interview or the clinical questionnaire. These findings indicate that the
  data collection method has a significant effect on the satisfaction of de
 pressed patients. While our findings indicate that higher levels of satisf
 action may improve trust in automated systems, direct measurement of trust
  was beyond the scope of this study. Future studies should clearly assess 
 trust to enhance these findings. Additionally, future research should comp
 are trust levels across different questionnaire formats and investigate wh
 ether trust influences adherence to automated mental health evaluations.\n
 \n
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