Human Centered Computing Systems
for Mental Health Contexts
PECSS Video Demo
We are conducting research at the intersection of mental health treatment and computer science. Our project, Prolonged Exposure Collective Sensing System (PECSS) addresses some of the pressing clinical challenges inherent in PTSD therapy; it leverages ubiquitous computing, human computer interaction and machine learning. Our goal is to improve clinical delivery and patient practice during PTSD therapy.
PI: R.I. Arriaga, Co-PIs: A. M. Sherrill (Emory), T. Ploetz (GT) & E. Hoque, U of Rochester; SP: Peter Presti (GT)
Representative Publications:
Using Sensor-Captured Patient-Generated Data to Support Clinical Decision-making in PTSD TherapyHI Evans, M Ryu, et al (CSCW1), 1-28 [4]
Perspectives on Integrating Trusted Other Feedback in Therapy for Veterans with PTSD HI Evans, et al CHI 2022 [3]
Veteran Critical Theory as a Lens to Understand Veterans' Needs and Support on Social Media J Zhou, et al, CHI 2022 [2]
Understanding the Care Ecologies of Veterans with PTSD HI Evans, et al CHI 2020 [1]
We are conducting research on the future of mental health work. This is at the intersection of clinician training and computer science. Our project, "Understanding the Ethics, Development, Design, and Integration of Interactive Artificial Intelligence Teammates in Future Mental Health Work" addresses some of the pressing challenges inherent in training clinicians to conduct evidence based therapy. Our lab's goal is to use human centered computing techniques to design a computational system, called the Trustworthy, Explainable, and Adaptive Monitoring Machine for AI Teams (TEAMMAIT) that users perceive to be an objective, nonjudgmental, and confidential colleague who can provide individualized feedback over a period of time.
PI: A. M. Scherrill (Emory University), Co-PIs R. I. Arriaga (HCI Lead, GT), C. Wiese (Organizational Psych GT) and S. Abdullah (ML Lead, Penn State)
PhD STUDENTS
Hayley Evans, PhD 2022
User-Centered Interfaces to Support Clinical Decision-Making and Patient Engagement [1, 3-4] see video
Jiawei Zhou, 2020-22
Veteran Critical Theory as a Lens to Understand Veterans' Needs and Support on Social Media [2]
see video
Scott Appling, HCC PhD
Topic: Understanding PTSD self-disclosure on Social Media
Myeonghan, CS PhD
Topic: Novel Interfaces for PTSD Therapy
MS STUDENT PROJECTS
MS-HCI 2022-23
Abhinav Thukral,
"Facilitating the Use of Smartphone Photography to Aid Psychotherapy"
see video
MS-HCI 2021-22
Catherine Deeter, CPT US Army
"The Social Sensing System: Proposing a Supportive Input to the Prolonged Exposure Collective Sensing System" [1]
See Video
MS-HCI 2020
Elaine Schertz, Hue Watson, Ashok Krishna
Bridging the Gap: Creating a Clinician-Facing Dashboard for PTSD
NOTABLE UNDERGRADUATE RESEARCHERS
Chuyi "Rachel" Chen,
"Image Usage in Prolonged Exposure Collective Sensing System App"
08/2023, see video
Chunhao Zhou, 12/2022, see video
"Usability study of ImageScape Integration into PECSS"
President Undergraduate Research Award (PURA)
Feilian "Wade" Huang
"Investigating if the PECSS mobile application is usable to proxy users"
12/2022, see video
Kenneth Akers,
"Incorporating wearable activity tracking into Prolonged Exposure Treatment for PTSD"
04/2022, see video
Fall 2023
PECSS Research Alum
GVU Distinguished
Masters Student Award
Marshall D. Williamson Fellowship Graduate Student Award
Undergraduates
John Kerrison, Sp 23
Elizabeth Salisbury Sp 23-Fall 23
Muni Bundi Sp 23-Fall 23
Zhaodong Kang, Sp 23
Yan Zhou Huang Sp 23-Fall 23
Tony Tu, Fall 23
Eduardo Fajardo, Sp 22
Pranathi Reddy, Fa21-Sp22
Chiche Tsai, Fa 21-Sp 22
Ken Akers, Sp21-Fa21
David Mayernich, Fa 21
Yingkang Lou, Fa 21
Barton Harris, Summer 21
Jack Fratto, Fa 20
Shreya Varshini Fa 20
Cole Anderson Fa 20
Ha Dang Fa 20
Heather Whittaker Fa 20
Marcus Wilder fa20-Sp22
Adam Hayward fa20-Sp22
Aravind Vengarai, Sp. 2020
Theresa Hsieh fa19-Sp 22
MS Students
Jerry Chen, Sp 23
Jialuo Yang, Sp 23
Hao Yuan Sp&Smr 23
Catherine Deeter, 2021
Theresa Hsieh , 2019-21
Deven Bansod, fa 2019
Post-Bacc
Kaely Hall fa19/sp20