GEORGIA INSTITUTE OF TECHNOLOGY
Under the provisions of the regulations for the degree
MASTER OF INDUSTRIAL DESIGN
on
Monday, November 25, 2024
4:00 p.m. – 5:00 p.m. EST
West Architecture 155
Online link
teams.microsoft.com
Yuting Xie
will present a thesis defense entitled,
" DESIGNING A TECHNOLOGY-BASED APPORACH TO SUPPORT COGNITIVE BEHAVIORAL THERAPY FOR INSOMNIA"
Advisor:
Leandro Miletto Tonetto , Georgia Tech School of Industrial Design
Committee:
Leila Aflatoony, School of Industrial Design
Abigale Stangl, School of Industrial Design
Abstract
This study explores the design of a technology-based approach to support Cognitive Behavioral Therapy for Insomnia (CBT-I). As CBT-I is recognized as a first-line treatment for insomnia, its implementation often encounters barriers related to accessibility and patient engagement. This research aims to prototype and test a mobile app that enhances patient engagement with therapist-guided CBT-I and provides ongoing support throughout the treatment process. The study investigates three key research questions: What types of support are necessary for CBT-I? How can this support be delivered through a technological approach? To what extent can the approach enhance the CBT-I experience? Through in-depth interviews with professionals, concept evaluation interviews, and usability tests, we designed a mobile application and assessed its usability. The results indicate that the approach achieves a moderate level of system usability and a fair level of user satisfaction, alongside good ease of use and accessibility for each function. Findings suggest that this design approach can support CBT-I by facilitating the implementation of its components, providing motivation, and assisting therapists in their work.
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