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Designing From, With, and By Mental Health Data

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What do those who design products and services around mental health data need to consider? A perspective from Design Informatics

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Designing From, With, and By Mental Health Data

  1. 1. Designing From, With, and By Mental Health Data Maria Wolters
  2. 2. Speaking as an “Expert by Experience”
  3. 3. Mental Health Data & Humans – Several frameworks (e.g., Human Data Interaction (Mortier et al.) – Here: Design from, with, by data (Speed and Oberlander, 2016) – Based around values: economic, social, moral, ethical
  4. 4. Design From Data – Systems designed by people – Inspired by measurable features of humans, things, contexts, … – Mental health is about interpretation (by @theofficialsadghostclub, Instagram)
  5. 5. The Challenge: – How can we identify measurable features from which we can elicit data to better understand the values and thinking patterns in play? – How can we capture that data in a way that is sensitive to human values and the challenges of mental illness
  6. 6. Design With Data – Systems designed by people – Focus on Data flows through system – While sustaining and enhancing values (Allie Brosh, Hyperbole and a Half)
  7. 7. The Challenge – When data flows affect and inform the behaviour of humans and artefacts, how can we support human values? – How can we respect disclosure preferences, facilitate sensemaking, support illness work and biographical work?
  8. 8. Design By Data – Systems are designed by other systems – Data-intensive analysis yields new products and services – Largely autonomous Machine Learning
  9. 9. The Challenge – Designers need to mediate the new products and services, so that they fit with the values of those affected – Going beyond automated interactions towards empathy, alliance, personalisation
  10. 10. Thank you for your attention. Contact: Maria Wolters, maria.wolters@ed.ac.uk @mariawolters

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