Digitala Vetenskapliga Arkivet

Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Designing for Supportive Self-Tracking for People with Polycystic Ovary Syndrome
KTH, School of Electrical Engineering and Computer Science (EECS).
2024 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Designa för Stödjande Självspårning för Personer med Polycystiskt Ovarialsyndrom (Swedish)
Abstract [en]

Polycystic Ovary Syndrome (PCOS) is regarded to be amongst the most usual of endocrine abnormalities in human beings, influencing around eight to thirteen percent of reproductive aged women. Previous research within Human Computer Interaction (HCI) highlights the potential for self-tracking of health conditions but indicates an interest in exploring the design of self-tracking tools for this user group. In hope of contributing to an understanding of aspects that might be important when designing self-tracking tools for individuals with PCOS, this study aimed to respond to the research question How can self-tracking support people with Polycystic Ovary Syndrome? To achieve this, semi-structured interviews with ten women were performed. The results indicate that self-tracking can support people with PCOS by, for instance, providing self-knowledge and a reason for an experience. Based on these findings, design proposals are presented to visualize how self-tracking tools might be designed to support people with the condition.

Abstract [sv]

Polycystiskt ovarialsyndrom (PCOS) anses att vara bland de vanligaste endokrina avvikelserna hos människor som påverkar runt åtta till tretton procent av kvinnor i reproduktiv ålder. Tidigare forskning inom Människa-Datorinteraktion (MDI) understryker potentialen för självspårning av hälsotillstånd men indikerar ett intresse i att utforska design av självspårningsverktyg för denna användargrupp. I hopp om att bidra till en förståelse för aspekter som skulle kunna vara viktiga vid design av självspårningsverktyg för individer med PCOS hade denna studie som avsikt att besvara forskningsfrågan Hur kan självspårning stödja personer med Polycystiskt ovarialsyndrom? För att uppnå detta genomfördes semistrukturerade intervjuer med 10 kvinnor. Resultaten indikerar att självspårning kan stödja personer med PCOS genom att, till exempel, tillhandahålla självkännedom och en anledning för en upplevelse. Baserat på upptäckterna presenteras designförslag för att visualisera hur självspårningsverktyg skulle kunna designas för att stödja personer med tillståndet.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology , 2024. , p. 24
Series
TRITA-EECS-EX ; 2024:470
Keywords [en]
human-computer interaction, tracking, polycystic ovary syndrome
Keywords [sv]
människa-datorinteraktion, spårning, polycystiskt ovarialsyndrom
National Category
Computer Sciences Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-351559OAI: oai:DiVA.org:kth-351559DiVA, id: diva2:1887674
External cooperation
Ovulai AB
Subject / course
Media Technology
Supervisors
Examiners
Available from: 2024-09-23 Created: 2024-08-08 Last updated: 2025-02-18Bibliographically approved

Open Access in DiVA

fulltext(58410 kB)383 downloads
File information
File name FULLTEXT01.pdfFile size 58410 kBChecksum SHA-512
08eff694feca06fe4a73af001a3fb8fc8363b1346bc8bdf9910a2189f549f05c60e635cead39687d78bf8f81e79ddb0f073d8d8fe385a9ddbc1d8c9e36f1b44e
Type fulltextMimetype application/pdf

By organisation
School of Electrical Engineering and Computer Science (EECS)
Computer SciencesComputer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 383 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 491 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf