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Exploring and Designing for Memory Impairments in Depression

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Published
Publication date4/05/2019
Host publicationProceedings of the 2019 CHI Conference on Human Factors in Computing Systems
PublisherACM
Number of pages14
ISBN (Print)9781450359702
Original languageEnglish
EventACM CHI Conference on Human Factors in Computing Systems: Weaving the Threads of CHI - Scottish Event Campus , Glasgow, United Kingdom
Duration: 4/05/20199/05/2019
https://chi2019.acm.org/

Conference

ConferenceACM CHI Conference on Human Factors in Computing Systems
Abbreviated titleCHI 2019
CountryUnited Kingdom
CityGlasgow
Period4/05/199/05/19
Internet address

Conference

ConferenceACM CHI Conference on Human Factors in Computing Systems
Abbreviated titleCHI 2019
CountryUnited Kingdom
CityGlasgow
Period4/05/199/05/19
Internet address

Abstract

Depression is an affective disorder with distinctive autobiographical memory impairments, including negative bias, overgeneralization and reduced positivity. Several clinical therapies address these impairments, and there is an opportunity to develop new supports for treatment by considering depression-associated memory impairments within design. We report on interviews with ten experts in treating depression, with expertise in both neuropsychology and cognitive behavioral therapies. The interview explores approaches for addressing each of these memory impairments. We found consistent use of positive memories for treating all memory impairments, the challenge of direct retrieval, and the need to support the experience of positive memories. Our findings open up new design opportunities for memory technologies for depression, including positive memory banks for active encoding and selective retrieval, novel cues for supporting generative retrieval, and novel interfaces to strengthen the reliving of positive memories.