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Making the Invisible Physical (WIAD16 Bristol)

PhD Student at KTH Royal Institute of Technologies
Feb. 23, 2016
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Making the Invisible Physical (WIAD16 Bristol)

  1. Karey Helms Interaction Designer & Technologist Zebra Technologies @kareyhelms
  2. How do we make sense of complex data-driven systems to design enterprise solutions?
  3. Making the Invisible Physical
  4. 1. Enterprise UX challenges 2. Physical prototyping 3. Example personal projects
  5. 1. Enterprise UX challenges 2. Physical prototyping 3. Example personal projects
  6. How situationally disabled people interact with dynamic information in complex environments
  7. How dynamic information interacts with situationally disabled people in complex environments
  8. ?
  9. How do we architect something abstract?
  10. How do we architect something dynamic?
  11. How do we architect something contextual?
  12. How do we architect something intangible?
  13. How do we architect something invisible?
  14. How do we architect something synthetic?
  15. How do we architect something synthetic?
  16. 1. Enterprise UX challenges 2. Physical prototyping 3. Example personal projects
  17. Physical prototyping as a tool to understand core components
  18. Physical prototyping as a tool to situate in context
  19. Physical prototyping as a tool to explore interaction modalities
  20. Physical prototyping as a tool to explore interaction modalities in physically connected environments
  21. 1. Enterprise UX challenges 2. Physical prototyping 3. Example personal projects
  22. Phygital Party Mode
  23. Information is emergent
  24. Information is part of an ecosystem
  25. Information is not a fixed modality
  26. 👫
  27. Information has a role in the design of algorithms
  28. Information has broader implications
  29. Information has varying levels of fidelity
  30. Information is emergent Information is part of an ecosystem Information is not a fixed modality Information has a role in the design of algorithms Information has broader implications Information has varying levels of fidelity
  31. How do we make sense of complex data-driven systems to design enterprise solutions?
  32. Making the Invisible Physical
  33. Thank you. @kareyhelms
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