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The Prototyper's Dilemma [EuroIA 2018]


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New technologies like artificial intelligence force us to rethink our prototyping strategies. Although we have access to more and more tools and techniques, building the right prototype at the right time can be hard. While we need to evaluate the viability of new ideas fast, we also need a certain degree of fidelity for a prototype to feel intelligent and real. But was does fidelity mean in this context anyway? Based on my experience developing AI-driven products in healthcare, I will discuss the following questions: How can we build and test prototypes for emerging technologies both effectively and efficiently? How can we foster meaningful conversations about humanlike behavior? How do we answer questions about transparency and the personality of intelligent systems? How can we combine multiple prototypes to tell a coherent story? I will introduce a holistic approach to prototyping, discuss current challenges for UX and IA professionals and show examples of applied prototyping strategies.

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The Prototyper's Dilemma [EuroIA 2018]

  1. 1. Johannes Baeck | EuroIA 2018 | Sep 28, 2018
  2. 2. * lab values, X-ray images, CT images, MRI images, etc. Source: Frankfurter Allgemeine Zeitung
  3. 3. Source: Babylon Health
  4. 4. Relevant assistance
  5. 5. Reliable suggestions Source: Universitätsklinikum Heidelberg
  6. 6. Responsive behavior Source: Siemens AG
  7. 7. Let‘s build prototypes and do user research!
  8. 8. Quick but dirty Slow but realistic The Prototyper‘s Dilemma Source: CircaSassy/SparkFun Electronics
  9. 9. Tomorrow‘s Toolset Source: Westworld Season I
  10. 10. Today‘s Toolset Source:
  11. 11. I’ve got 99 problems, but a 0.3 Sec Ease Out Animation ain’t one
  12. 12. Conversational Prototyping
  13. 13. Sayspring
  14. 14. Participatory Prototyping
  15. 15.
  16. 16. Coordinated Prototyping
  17. 17. VISION PROTOTYPING VERTICAL PROTOTYPING Users UsersStakeholders Stakeholders AXURE RP / ADOBE XD User Journey Prototype SAYSPRING Voice Prototype WEB TECHNOLOGIES / AI ALGORITHMS Proof-of-Concept Prototype PRODUCT PLATFORM Feature Implementation
  18. 18. Use conversations as raw material for your prototypes. Coordinate your prototypes. Show the vision, but also give proof. Follow a participatory approach throughout the process.
  19. 19. Quick but dirty Slow but realistic The Prototyper‘s Dilemma?
  20. 20. Quick but dirty Slow but realistic The Prototyper‘s Sweet Spot CONVERSATIONAL COORDINATEDPARTICIPATORY
  21. 21. GmbH & Co. KG Ihmeauen Ricklinger Straße 5B 30449 Hannover Germany +49 (0)511 360 50 70
  22. 22. PAGE 1 OF 3 Frankfurter Allgemeine Zeitung intelligenz/computer-watson-scheitert-zu-oft-bei- datenanalyse-15619989-p3.html Babylon Health Universitätsklinikum Heidelberg https://www.klinikum.uni- bprins_pressmanagement%5Baction%5D=show&tx_ifabp rins_pressmanagement%5Bcontroller%5D=PressManage ment&tx_ifabprins_pressmanagement%5Bid%5D=5592
  23. 23. PAGE 2 OF 3 Siemens AG are/2014-03-ecr.php#ii141 SparkFun Electronics photolist-r4UZeE-p2rTp6-p2oWUQ-pFNYdZ-pW5xa5- cNYPtq-pFQUUo-pYjoc1-pYjr6h-pYj1y1-pYbdAg-6pB7Le- pFR5wQ-d65Ueb-d65UbG-23rWU39-oYtvBE-pW66qN- pYja7d-pY1n8H-pYjjpb-p2p7eG-pFKyzK-pFQLgm- pFMENS-pY1owe-pYjzU9-pYjiZU-pFP3AM-p2rLnF-6HiZrB- 6SMnPp-pFPfq8-pW5RvJ-p2oNXN-pY1r9i-d65UWw- p2rzqk-7ZsKKL-pFRcww-pYjyc1-p2oR7C-eQexrQ-6HLPKd- pFN4YQ-pFKQCr-pYjmtb-4YSR7f-uuEo8y-aa72qZ
  24. 24. PAGE 3 OF 3 CircaSassy photolist-bZPS9U-2EhVKZ-FiUHeL-bV98S7-4LrHPa- 9fgfHg-bZPS93-9hdTTX-jCfUzM-bym1q5-nyJfJz-a38jL9- 9ynyoB-4mKc6X-6Tjex9-9dmsH6-9etvBR-9Did6-4bKJ2w- 7sYJiN-dbf5BV-fUNCDg-57QhmE-6WdPzt-Hz1xXo- DkYFDQ-MWGr91-ne5ypf-4zG5vD-3g8saB-8AU3Kf- 5LxvDS-dpqxR3-ccGJRm-4Bpt4X-G9AtC-j8EqgZ-9vX3LD- G9Egg-2taRGn-4mKcqc-6S77F-DGVQn1-ULxnVs-PvEXbg- Pk2sUu-PQqKmo-VpY6km-VdYaBE-jbsyfi Westworld