Abstract
Psychosocial disability involves actual or perceived impairment due to a diversity of mental, emotional, or cognitive experiences. While assistive technology for psychosocial disabilities has been understudied in communities such as ASSETS, advances in computing have opened up a number of new avenues for assisting those with psychosocial disabilities beyond the clinic. However, these tools continue to emerge primarily within the framework of “treatment,” emphasizing resolution or improvement of mental health symptoms. This work considers what it means to adopt a social model lens from disability studies and incorporate the expertise of assistive technology researchers in relation to mental health. Our investigation draws on interviews conducted with 18 individuals who have complex health needs that include mental health symptoms. This work highlights the potential role for assistive technology in supporting psychosocial disability outside of a clinical or medical framework.
Original language | English (US) |
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Title of host publication | ASSETS 2019 - 21st International ACM SIGACCESS Conference on Computers and Accessibility |
Publisher | Association for Computing Machinery, Inc |
Pages | 156-170 |
Number of pages | 15 |
ISBN (Electronic) | 9781450366762 |
DOIs | |
State | Published - Oct 24 2019 |
Event | 21st International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2019 - Pittsburgh, United States Duration: Oct 28 2019 → Oct 30 2019 |
Publication series
Name | ASSETS 2019 - 21st International ACM SIGACCESS Conference on Computers and Accessibility |
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Conference
Conference | 21st International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2019 |
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Country/Territory | United States |
City | Pittsburgh |
Period | 10/28/19 → 10/30/19 |
Funding
We thank the participants of this study. This work is supported by the National Institute of Mental Health (T32MH115882). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
Keywords
- Anxiety
- Depression
- Mental health
- Psychosocial disability
- Social model of disability
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Computer Graphics and Computer-Aided Design