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User Experience in Science: the new kid on the block

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EcoViz (Ecology visualisation ) workshop where I was asked to introduce User Experience and how it could be applied in science. I used an example of a previous bioinformatics project I had done.

Publicada em: Design, Tecnologia, Educação
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User Experience in Science: the new kid on the block

  1. 1. The new kid on the block User Experience in Science Flickr: Lars Ploughmann Paula de Matos
  2. 2. My name is Paula de Matos I live in Cambridge, UK I am an Freelance User Experience Analyst I tweet @Paula_deMatos I am South African & Portuguese I specialise in the application of UX in complex scientific domains
  3. 3. What is User Experience (UX) Peter Morville: UX Honecomb Flickr: Stefson
  4. 4. Where does UX come from? Dan Schaffer
  5. 5. A good UX example: The whole package
  6. 6. What happens when you don‟t consider UX? Flickr: Adam Frame
  7. 7. UX in complex environments
  8. 8. Complex environments have data that is/ may be… • highly inter-connected • has depth (big picture and high level of granularity important) • high volume, big scale • unfamiliar since it is a „niche‟/‟expert‟ field (niche vocab.) • needing security/ privacy/ authentication • real time-critical
  9. 9. People in complex environments… • May have geographically separated team • People (always complex but added complications may be…) • Not aware of UX (“fluffy stuff”) • Do not know who users are/ not interested in the user • Think they know their user but are making assumptions
  10. 10. Bioinformatics research/services is a complex environment
  11. 11. EMBL-EBI EuroHub for Bioinformatics in Hinxton • Part of the European Molecular Biology Laboratory • International, non-profit research institute • 540 people work at EMBL-EBI, 48 nations represented • Average age: 37 yrs
  12. 12. What is bioinformatics? • At the heart of modern biology research • Science of storing, retrieving and analysing biological information • An interdisciplinary science involving biologists, biochemists, computer scientists and mathematicians
  13. 13. 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 TB of data L-O-A-D-S of data 18000 16000 14000 12000 10000 8000 6000 4000 2000 0
  14. 14. UX and Bioinformatics: Enzyme Portal We have over 10 databases dealing with enzymes I can‟t see anything? I can‟t find anything? Data is loosely linked and mismatched
  15. 15. Enzyme Portal: the workflow
  16. 16. Love thy stakeholders • Understand stakeholders and requirements • UCD buy-in strategy • Incentives?
  17. 17. Personaes used to mitigate „self-as-user‟ outlook
  18. 18. We interviewed users • Preferably in their own lab • Observe and understand context • Ask questions, learn and validate
  19. 19. We modeled their user stories Created using yWorks yEd Graph Editor
  20. 20. What happens if you ask? What is important to you? What do you want?
  21. 21. Establish priorities and Information Architecture
  22. 22. Stimulates discussion esp. dot vote to get consensus
  23. 23. Canvas Sort: Engaging IA „head scratcher‟ for target users (experts)
  24. 24. Canvas Sort Result #1: Relative priorities of data items and actions
  25. 25. Result #2: Model of the information architecture for the portal
  26. 26. Sketching
  27. 27. Wireframes provided a visual specification Created using Balsamiq Mockups (http://www.balsamiq.com/products/mockups)
  28. 28. Quick and easy prototyping
  29. 29. Be flexible – it‟s complex, things will go wrong! • Things going wrong on release day • Data that does not exist • Stakeholder posturing
  30. 30. Challenges with UX in Science
  31. 31. Diverse users Sweet spot? „Dry‟ and „wet‟ scientists use the same software Jakob Nielsen, Usability Engineering 1993
  32. 32. We don‟t sell stuff… Flickr: Kristian Niemi
  33. 33. Finding the people can be difficult
  34. 34. Complexities of policy and funding Flickr: 401 (K) 2013
  35. 35. 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 TB of data Managing data 18000 16000 14000 12000 10000 8000 6000 4000 2000 0
  36. 36. Get in touch Paula de Matos Email: paula.dematos@gmail.com LinkedIn: pauladematos Twitter: @Paula_deMatos
  37. 37. Useful references Complex UX • Chilana, P.K. et al (2010) Understanding usability practices in complex domains. CHI 2010 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2337-2346 Personae • Baron-Cohen, S. et al (2003) The systemizing quotient: an investigation of adults with Asperger syndrome or high-functioning autism, and normal sex differences. Philosophical transactions of the Royal Society of London 358: 361-74 • William Hudson (2009) Reduced Empathizing Skills Increase Challenges for User-Centered Design CHI 2009 April 3–9, Boston, MA, USA Gamestorming • Gray D, Brown S, Macanufo J (2010) Game storming: A Playbook for Innovators, Rulebreakers and Changemakers. California: O‟Reilly Media.
  38. 38. Recent papers: UX and Bioinformatics (open access)
  39. 39. Thanks for listening! EMBL-EBI staff, Genome Campus, Cambridge
  40. 40. Questions?

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