The Science of User-
Centered Data Tools
June 2, 2014
Bradford W. Hesse, PhD
Chief, Health Communication and Informatics
N...
What behavioral
intervention was credited
with saving 58,000 injuries
per year, & saving
$655,000,000 per year?
Question:
...
Question:
American
Psychological
Association (2004)
Monday, June 2, 14
Why?
Human Factors research
focused squarely on user’s
perspective: Cognitive &
perceptual demands
Intervention based
on h...
4.3% in rear end
collisions
92,000 crashes / year
58,000 injuries / year
$655,000,000 in property
damage
Return on Investm...
“Travel agents
selected flight
on first line
more than half
the time”
American Airlines
Sabre System
Data design effects
Nov...
Website designs
reshape travel &
other industries
Sabre system
becomes
Travelocity
Data design effects
November Line of Sa...
Interface wars part of new business
Microsoft DOS
Graphical User
Interface
Monday, June 2, 14
Targets in Medicine?
Monday, June 2, 14
Nudging Best Practice:
HITECH & Behavior
Source: Hesse, Bradford W.,Ahern, David K., & Woods, Susan S. (2011). Nudging bes...
Stakes are high
Monday, June 2, 14
Stakes are high
Monday, June 2, 14
Data smog
• Decisional
paralysis
• Confusion
• Risky behaviors
• Frequent errors
• Avoidance
Source: Shenk, David. (1997)....
The case of Hugo Campos
Source: Dave deBronkart, through ONC (http://www.healthit.gov/)
Monday, June 2, 14
The case of Hugo Campos
Source: Dave deBronkart, through ONC (http://www.healthit.gov/)
Monday, June 2, 14
The case of Hugo Campos
Source: Dave deBronkart, through ONC (http://www.healthit.gov/)
Monday, June 2, 14
ROI will go to
best design
for each user
niche
Interfaces across ecosystem
Source: Hesse BW, Hansen D, Finholt T, Munson S...
Human System Integration
Monday, June 2, 14
History: Bad Design Led to
Catastrophic Error
Monday, June 2, 14
Mechanistic World View
• Actors: Engineers, biological scientists
• Question: How can we create new
technologies?
• Focus:...
Source:Vicente, Kim J. (2003).The human factor : revolutionizing the way
people live with technology (1st ed.). NewYork:Ta...
Knowledge in the Head*
Knowledge in The World*
Task Relevant
Schemata
General model
Monday, June 2, 14
Computer Human Interaction
Don Norman, 1988
Jakob Nilsen: 1993, 1999
Shneiderman & Plaisant:
2010 edition
DHHS: 2004
Monda...
• Strive for consistency
Eight Golden Rules
Shneiderman & Plaisant:
2010 edition
See: www.usability.gov
Consistency within...
• Strive for consistency
• Cater to universal usability*
Eight Golden Rules
Shneiderman & Plaisant:
2010 edition
Sir Jonat...
• Strive for consistency
• Cater to universal usability
• Offer informative feedback
Eight Golden Rules
Shneiderman & Plai...
• Strive for consistency
• Cater to universal usability
• Offer informative feedback
Eight Golden Rules
Shneiderman & Plai...
• Strive for consistency
• Cater to universal usability
• Offer informative feedback
• Design dialogs to yield closure
Eig...
• Strive for consistency
• Cater to universal usability
• Offer informative feedback
• Design dialogs to yield closure
• P...
• Strive for consistency
• Cater to universal usability
• Offer informative feedback
• Design dialogs to yield closure
• P...
• Strive for consistency
• Cater to universal usability
• Offer informative feedback
• Design dialogs to yield closure
• P...
Wrong Question:
X What can the computer do?
X How do we automate cognition?
X What is the transactional gain?
X How do we ...
STOP asking the wrong question
Wrong Question:
X What can the computer do?
X How do we automate cognition?
X What is the t...
START Answering Right Question
Wrong Question:
X What can the computer do?
X How do we automate cognition?
X What is the t...
STOP asking the wrong question
Wrong Question:
X What can the computer do?
X How do we automate cognition?
X What is the t...
Wrong Question:
X What can the computer do?
X How do we automate cognition?
X What is the transactional gain?
X How do we ...
STOP asking the wrong question
Wrong Question:
X What can the computer do?
X How do we automate cognition?
X What is the t...
Wrong Question:
X What can the computer do?
X How do we automate cognition?
X What is the transactional gain?
X How do we ...
Wrong Question:
X What can the computer do?
X How do we automate cognition?
X What is the transactional gain?
X How do we ...
STOP asking the wrong question
Wrong Question:
X What can the computer do?
X How do we automate cognition?
X What is the t...
Wrong Question:
X What can the computer do?
X How do we automate cognition?
X What is the transactional gain?
X How do we ...
Wrong Question:
X What can the computer do?
X How do we automate cognition?
X What is the transactional gain?
X How do we ...
Research on
Communicating Data
Monday, June 2, 14
Making Data Talk
Inform Support
Decisions
Educate Persuade
Adapting to a World of Ubiquitous Data Systems
Monday, June 2, ...
Making Data Talk
Inform Support
Decisions
Educate Persuade
Adapting to a World of Ubiquitous Data Systems
Monday, June 2, ...
Making Data Talk
Inform Support
Decisions
Educate Persuade
Adapting to a World of Ubiquitous Data Systems
Monday, June 2, ...
Making Data Talk
Inform Support
Decisions
Educate Persuade
Adapting to a World of Ubiquitous Data Systems
Monday, June 2, ...
Chapter 4:Visual Displays
Monday, June 2, 14
SOURCE: http://alleydog.com/topics/sensation_and_perception.php
Perceptual Basics
Monday, June 2, 14
source: Carpenter PA, Shah P. A model of the perceptual and conceptual processes in graph comprehension.
J Educ Psychol. 1...
source: Carpenter PA, Shah P. A model of the perceptual and conceptual processes in graph comprehension.
J Educ Psychol. 1...
• Constructive process
• Gaze goes to center
for pattern
• Contiguous labels for
meaning
• Left to right tendency
in weste...
Monitoring for Change
in EHR Systems
Aging In Place, Intel
Rule of Thumb* for
“Big Data” Systems
•Overview
•Zoom / filter
•...
Biases & Heuristics
Monday, June 2, 14
Overcome “small numbers” bias
Monday, June 2, 14
Exceptional Case
Fallacy of small numbers;
Tversky & Kahneman, 1971
Illnesses
322,000,000
Hospitalizations
21,000,000
Prev...
Improving Decision Making
Problem: Conditional (Bayesian) probabilities
are counter-intuitive, arcane for practice.
source...
95 out of 100 physicians
estimated 70-80% instead
of a correct 7.8%
Improving Decision Making
Problem: Conditional (Bayesi...
Natural frequencies work better
source: Gigerenzer, Gerd, & Hoffrage, Ulrich. (1995). How to improve Bayesian Reasoning wi...
See: Fagerlin,A., Ubel, P.A., Smith, D. M., & Zikmund-Fisher, B. J. (2007). Making numbers matter: present and future rese...
Portraying trends to policy makers
Choropleth Maps: CDC Obesity Trends, BRFSS 1985
Monday, June 2, 14
Nonsegmented geographic data
Isopleth “Weather Maps,” HINTS
Monday, June 2, 14
Juxtaposing geographic distributions
Mortality Maps (SEER):
Lung Cancer Mortality
For Example:
Knowledge Maps (HINTS):
Doe...
Added User Controls
14 datasets spanning 6 years
NSF, NIH
Collaboration
Disolving Barriers Between
Clinical and Community ...
Added User Controls
14 datasets spanning 6 years
NSF, NIH
Collaboration
Disolving Barriers Between
Clinical and Community ...
Disparities Frame
Framing Effects
Monday, June 2, 14
Disparities Frame
Impact Frame
Framing Effects
Monday, June 2, 14
Disparities Frame
Impact Frame
Progress Frame
Framing Effects
Monday, June 2, 14
Disparities Frame
Impact Frame
Progress Frame
Framing Effects
3.25
3.5
3.75
4
4.25
4.5
4.75
5
Progress Impact Disparity
Lo...
Bottom Line
Monday, June 2, 14
Data: New “Intel Inside*”
Source: O'Reilly,Tim. (2005).What Is Web 2.0? Design Patterns and
Business Models for the Next G...
Data = Power
(by itself)
Monday, June 2, 14
Data = Power
User Centered*
*i.e., made understandable, actionable, accessible
Monday, June 2, 14
Research methods to address gap
See: Brinck, T., Gergle, D., & Wood, S. D. (2002). Designing Web sites that work : usabili...
www.slideshare.net/BradfordHesse
http://cancercontrol.cancer.gov/brp/hcirb/
usability.gov
Guidelines
Grants
This slide dec...
Upcoming SlideShare
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Making Data Usable: 2014 presentation at Datapalooza

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Reviews the science of data display in the context of personal and public health data.

Published in: Data & Analytics

Making Data Usable: 2014 presentation at Datapalooza

  1. 1. The Science of User- Centered Data Tools June 2, 2014 Bradford W. Hesse, PhD Chief, Health Communication and Informatics National Cancer Institute Monday, June 2, 14
  2. 2. What behavioral intervention was credited with saving 58,000 injuries per year, & saving $655,000,000 per year? Question: American Psychological Association (2004) Monday, June 2, 14
  3. 3. Question: American Psychological Association (2004) Monday, June 2, 14
  4. 4. Why? Human Factors research focused squarely on user’s perspective: Cognitive & perceptual demands Intervention based on human-system integration Monday, June 2, 14
  5. 5. 4.3% in rear end collisions 92,000 crashes / year 58,000 injuries / year $655,000,000 in property damage Return on Investment (ROI) Monday, June 2, 14
  6. 6. “Travel agents selected flight on first line more than half the time” American Airlines Sabre System Data design effects November Line of Sale Analysis, memo to R. E. Murray from S. D. Nason,American Airlines, Dec. 3, 1981. Monday, June 2, 14
  7. 7. Website designs reshape travel & other industries Sabre system becomes Travelocity Data design effects November Line of Sale Analysis, memo to R. E. Murray from S. D. Nason,American Airlines, Dec. 3, 1981. CONSUMER ACCESS SHIFTS MARKET Monday, June 2, 14
  8. 8. Interface wars part of new business Microsoft DOS Graphical User Interface Monday, June 2, 14
  9. 9. Targets in Medicine? Monday, June 2, 14
  10. 10. Nudging Best Practice: HITECH & Behavior Source: Hesse, Bradford W.,Ahern, David K., & Woods, Susan S. (2011). Nudging best practice: the HITECH act and behavioral medicine Translational Behavioral Medicine, 1(1), 175-181. • Incentives • Understand Mental Maps • Defaults • Give feedback • Expect error • Structure decisions Monday, June 2, 14
  11. 11. Stakes are high Monday, June 2, 14
  12. 12. Stakes are high Monday, June 2, 14
  13. 13. Data smog • Decisional paralysis • Confusion • Risky behaviors • Frequent errors • Avoidance Source: Shenk, David. (1997). Data smog : surviving the information glut (1st ed.). San Francisco, Calif.: Harper Edge. Consequences Monday, June 2, 14
  14. 14. The case of Hugo Campos Source: Dave deBronkart, through ONC (http://www.healthit.gov/) Monday, June 2, 14
  15. 15. The case of Hugo Campos Source: Dave deBronkart, through ONC (http://www.healthit.gov/) Monday, June 2, 14
  16. 16. The case of Hugo Campos Source: Dave deBronkart, through ONC (http://www.healthit.gov/) Monday, June 2, 14
  17. 17. ROI will go to best design for each user niche Interfaces across ecosystem Source: Hesse BW, Hansen D, Finholt T, Munson S, Kellogg W, Thomas JC. Social Participation in Health 2.0. IEEE Computer. 2010;43(11):45-52.Monday, June 2, 14
  18. 18. Human System Integration Monday, June 2, 14
  19. 19. History: Bad Design Led to Catastrophic Error Monday, June 2, 14
  20. 20. Mechanistic World View • Actors: Engineers, biological scientists • Question: How can we create new technologies? • Focus: Physical Object Humanistic World View • Actors: Social scientists, physicians • Question: How can we create new people? • Focus: Person Competing WorldViews Monday, June 2, 14
  21. 21. Source:Vicente, Kim J. (2003).The human factor : revolutionizing the way people live with technology (1st ed.). NewYork:Taylor and Francis Books. Human System Integration Monday, June 2, 14
  22. 22. Knowledge in the Head* Knowledge in The World* Task Relevant Schemata General model Monday, June 2, 14
  23. 23. Computer Human Interaction Don Norman, 1988 Jakob Nilsen: 1993, 1999 Shneiderman & Plaisant: 2010 edition DHHS: 2004 Monday, June 2, 14
  24. 24. • Strive for consistency Eight Golden Rules Shneiderman & Plaisant: 2010 edition See: www.usability.gov Consistency within application Consistency across product line Predictable Controls Monday, June 2, 14
  25. 25. • Strive for consistency • Cater to universal usability* Eight Golden Rules Shneiderman & Plaisant: 2010 edition Sir Jonathan Ive *universal across experience, literacy, physical ability, profession Monday, June 2, 14
  26. 26. • Strive for consistency • Cater to universal usability • Offer informative feedback Eight Golden Rules Shneiderman & Plaisant: 2010 editionSeriously?! Monday, June 2, 14
  27. 27. • Strive for consistency • Cater to universal usability • Offer informative feedback Eight Golden Rules Shneiderman & Plaisant: 2010 edition Good design: sequence, progress, action all indicated Monday, June 2, 14
  28. 28. • Strive for consistency • Cater to universal usability • Offer informative feedback • Design dialogs to yield closure Eight Golden Rules Shneiderman & Plaisant: 2010 edition user goal Deep Support Monday, June 2, 14
  29. 29. • Strive for consistency • Cater to universal usability • Offer informative feedback • Design dialogs to yield closure • Prevent errors Eight Golden Rules Shneiderman & Plaisant: 2010 edition Monday, June 2, 14
  30. 30. • Strive for consistency • Cater to universal usability • Offer informative feedback • Design dialogs to yield closure • Prevent errors • Permit easy reversal of actions Eight Golden Rules Shneiderman & Plaisant: 2010 edition Monday, June 2, 14
  31. 31. • Strive for consistency • Cater to universal usability • Offer informative feedback • Design dialogs to yield closure • Prevent errors • Permit easy reversal of actions • Support internal locus of control Eight Golden Rules Shneiderman & Plaisant: 2010 edition Monday, June 2, 14
  32. 32. Wrong Question: X What can the computer do? X How do we automate cognition? X What is the transactional gain? X How do we get users to conform? Better Questions: ✓ What can humans do? ✓ How do we augment cognition? ✓ What is the relational gain? ✓ How do we optimize sociotechnical balance? Source: Hesse BW, Shneiderman B. eHealth research from the user's perspective.Am J Prev Med 2007;32(5 Suppl):S97-103. Asking the Right Question in H.I.T. Monday, June 2, 14
  33. 33. STOP asking the wrong question Wrong Question: X What can the computer do? X How do we automate cognition? X What is the transactional gain? X How do we get users to conform? Better Questions: ✓ What can humans do? ✓ How do we augment cognition? ✓ What is the relational gain? ✓ How do we optimize sociotechnical balance? “Expert systems in medicine turned out to be brittle, impracticable, and nontransparent. In short, they turned out to be bad medicine.” Source: Hesse BW, Shneiderman B. eHealth research from the user's perspective.Am J Prev Med 2007;32(5 Suppl):S97-103. Monday, June 2, 14
  34. 34. START Answering Right Question Wrong Question: X What can the computer do? X How do we automate cognition? X What is the transactional gain? X How do we get users to conform? Better Questions: ✓ What can humans do? ✓ How do we augment cognition? ✓ What is the relational gain? ✓ How do we optimize sociotechnical balance? David  Brailer,  First  Na4onal   Coordinator  for  Health  IT   “Everyone thought Health I.T. was about computers, but we’ve refined that to say that IT is about healthcare — it’s about the experience we really have.” Source: 1.   Brailer  D.  Ac/on  through  collabora/on:  a  conversa/on  with  David  Brailer.  The  na/onal   coordinator  of  HIT  believes  that  facilita/on,  not  mandates,  are  the  way  to  move  the  agenda  forward.   Interview  by  Robert  Cunningham.  Health  Aff  (Millwood)  2005;24(5):1150-­‐7. Monday, June 2, 14
  35. 35. STOP asking the wrong question Wrong Question: X What can the computer do? X How do we automate cognition? X What is the transactional gain? X How do we get users to conform? Better Questions: ✓ What can humans do? ✓ How do we augment cognition? ✓ What is the relational gain? ✓ How do we optimize sociotechnical balance? “Intelligent  Agent”   misfires Root  Cause:   Over-­‐Reliance   on  “Autopilot”   Monday, June 2, 14
  36. 36. Wrong Question: X What can the computer do? X How do we automate cognition? X What is the transactional gain? X How do we get users to conform? Better Questions: ✓ What can humans do? ✓ How do we augment cognition? ✓ What is the relational gain? ✓ How do we optimize sociotechnical balance? START Answering Right Question Reminder  System Source: Hesse  BW.  Enhancing  Consumer  Involvement  in  Health  Care.  In:  Parker  JC,  Thornson  E,  editors.  Health  Communica/on  in  the  New   Media  Landscape.  New  York,  NY:  Springer  Publishing  Company;  2008.  p.  119-­‐149. Monday, June 2, 14
  37. 37. STOP asking the wrong question Wrong Question: X What can the computer do? X How do we automate cognition? X What is the transactional gain? X How do we get users to conform? Better Questions: ✓ What can humans do? ✓ How do we augment cognition? ✓ What is the relational gain? ✓ How do we optimize sociotechnical balance? *Zuboff S, Maxmin J.The support economy: why corporations are failing individuals and the next episode of capitalism. NewYork:Viking; 2002. Monday, June 2, 14
  38. 38. Wrong Question: X What can the computer do? X How do we automate cognition? X What is the transactional gain? X How do we get users to conform? Better Questions: ✓ What can humans do? ✓ How do we augment cognition? ✓ What is the relational gain? ✓ How do we optimize sociotechnical balance? START Answering Right Question Source:  Hesse  BW.  Harnessing  the  power  of  an  intelligent  health  environment  in  cancer  control.   Stud  Health  Technol  Inform  2005;118:159-­‐76. .Monday, June 2, 14
  39. 39. Wrong Question: X What can the computer do? X How do we automate cognition? X What is the transactional gain? X How do we get users to conform? Better Questions: ✓ What can humans do? ✓ How do we augment cognition? ✓ What is the relational gain? ✓ How do we optimize sociotechnical balance? START Answering Right Question *Zuboff S, Maxmin J.The support economy: why corporations are failing individuals and the next episode of capitalism. NewYork:Viking; 2002. Monday, June 2, 14
  40. 40. STOP asking the wrong question Wrong Question: X What can the computer do? X How do we automate cognition? X What is the transactional gain? X How do we get users to conform? Better Questions: ✓ What can humans do? ✓ How do we augment cognition? ✓ What is the relational gain? ✓ How do we optimize sociotechnical balance? Charlie Chaplin in “Modern Times” (1936) Monday, June 2, 14
  41. 41. Wrong Question: X What can the computer do? X How do we automate cognition? X What is the transactional gain? X How do we get users to conform? Better Questions: ✓ What can humans do? ✓ How do we augment cognition? ✓ What is the relational gain? ✓ How do we optimize sociotechnical balance? START Answering Right Question HITECH Switches Emphasis to “Meaningful Use” Monday, June 2, 14
  42. 42. Wrong Question: X What can the computer do? X How do we automate cognition? X What is the transactional gain? X How do we get users to conform? Better Questions: ✓ What can humans do? ✓ How do we augment cognition? ✓ What is the relational gain? ✓ How do we optimize sociotechnical balance? START Answering Right Question Source: Blumenthal, D. (2010). Guiding the health information technology agenda. Interviewed by David J. Brailer. Health Aff (Millwood), 29(4), 586-595. David Blumenthal Monday, June 2, 14
  43. 43. Research on Communicating Data Monday, June 2, 14
  44. 44. Making Data Talk Inform Support Decisions Educate Persuade Adapting to a World of Ubiquitous Data Systems Monday, June 2, 14
  45. 45. Making Data Talk Inform Support Decisions Educate Persuade Adapting to a World of Ubiquitous Data Systems Monday, June 2, 14
  46. 46. Making Data Talk Inform Support Decisions Educate Persuade Adapting to a World of Ubiquitous Data Systems Monday, June 2, 14
  47. 47. Making Data Talk Inform Support Decisions Educate Persuade Adapting to a World of Ubiquitous Data Systems Monday, June 2, 14
  48. 48. Chapter 4:Visual Displays Monday, June 2, 14
  49. 49. SOURCE: http://alleydog.com/topics/sensation_and_perception.php Perceptual Basics Monday, June 2, 14
  50. 50. source: Carpenter PA, Shah P. A model of the perceptual and conceptual processes in graph comprehension. J Educ Psychol. 1999, 91(4): 690-702. • Constructive process • Gaze goes to center for pattern • Contiguous labels for meaning • Left to right tendency in western culture • Perceptual rules guide meaning Cognitive / Perceptual Research Monday, June 2, 14
  51. 51. source: Carpenter PA, Shah P. A model of the perceptual and conceptual processes in graph comprehension. J Educ Psychol. 1999, 91(4): 690-702. • Constructive process • Gaze goes to center for pattern • Contiguous labels for meaning • Left to right tendency in western culture • Perceptual rules guide meaning Visualizing Long Term Change Monday, June 2, 14
  52. 52. • Constructive process • Gaze goes to center for pattern • Contiguous labels for meaning • Left to right tendency in western culture • Perceptual rules guide meaning Hans Rosling, BBC Visualizing Change Dynamically Monday, June 2, 14
  53. 53. Monitoring for Change in EHR Systems Aging In Place, Intel Rule of Thumb* for “Big Data” Systems •Overview •Zoom / filter •Details on demand *Ben Shneiderman Monday, June 2, 14
  54. 54. Biases & Heuristics Monday, June 2, 14
  55. 55. Overcome “small numbers” bias Monday, June 2, 14
  56. 56. Exceptional Case Fallacy of small numbers; Tversky & Kahneman, 1971 Illnesses 322,000,000 Hospitalizations 21,000,000 Prevented Deaths 732,000 Monday, June 2, 14
  57. 57. Improving Decision Making Problem: Conditional (Bayesian) probabilities are counter-intuitive, arcane for practice. source: Gigerenzer, Gerd, & Hoffrage, Ulrich. (1995). How to improve Bayesian Reasoning without Instruction: Frequency Formats. Psychological Review, 102(4), 684-704. For example: Monday, June 2, 14
  58. 58. 95 out of 100 physicians estimated 70-80% instead of a correct 7.8% Improving Decision Making Problem: Conditional (Bayesian) probabilities are counter-intuitive, arcane for practice. source: Gigerenzer, Gerd, & Hoffrage, Ulrich. (1995). How to improve Bayesian Reasoning without Instruction: Frequency Formats. Psychological Review, 102(4), 684-704. For example: Monday, June 2, 14
  59. 59. Natural frequencies work better source: Gigerenzer, Gerd, & Hoffrage, Ulrich. (1995). How to improve Bayesian Reasoning without Instruction: Frequency Formats. Psychological Review, 102(4), 684-704. Monday, June 2, 14
  60. 60. See: Fagerlin,A., Ubel, P.A., Smith, D. M., & Zikmund-Fisher, B. J. (2007). Making numbers matter: present and future research in risk communication.Am J Health Behav, 31 Suppl 1, S47-56. Icon arrays convey natural frequencies more effectively Monday, June 2, 14
  61. 61. Portraying trends to policy makers Choropleth Maps: CDC Obesity Trends, BRFSS 1985 Monday, June 2, 14
  62. 62. Nonsegmented geographic data Isopleth “Weather Maps,” HINTS Monday, June 2, 14
  63. 63. Juxtaposing geographic distributions Mortality Maps (SEER): Lung Cancer Mortality For Example: Knowledge Maps (HINTS): Does Smoking Cause Cancer? Monday, June 2, 14
  64. 64. Added User Controls 14 datasets spanning 6 years NSF, NIH Collaboration Disolving Barriers Between Clinical and Community Health Monday, June 2, 14
  65. 65. Added User Controls 14 datasets spanning 6 years NSF, NIH Collaboration Disolving Barriers Between Clinical and Community Health Monday, June 2, 14
  66. 66. Disparities Frame Framing Effects Monday, June 2, 14
  67. 67. Disparities Frame Impact Frame Framing Effects Monday, June 2, 14
  68. 68. Disparities Frame Impact Frame Progress Frame Framing Effects Monday, June 2, 14
  69. 69. Disparities Frame Impact Frame Progress Frame Framing Effects 3.25 3.5 3.75 4 4.25 4.5 4.75 5 Progress Impact Disparity Lo Hi 3.5 3.75 4 4.25 4.5 4.75 5 Low Mistrust High Mistrust I want to be screened for colon cancer? Framing X Medical Mistrust Questionnaire Best influence on behavior Monday, June 2, 14
  70. 70. Bottom Line Monday, June 2, 14
  71. 71. Data: New “Intel Inside*” Source: O'Reilly,Tim. (2005).What Is Web 2.0? Design Patterns and Business Models for the Next Generation of Software. Tim O’Reilly Monday, June 2, 14
  72. 72. Data = Power (by itself) Monday, June 2, 14
  73. 73. Data = Power User Centered* *i.e., made understandable, actionable, accessible Monday, June 2, 14
  74. 74. Research methods to address gap See: Brinck, T., Gergle, D., & Wood, S. D. (2002). Designing Web sites that work : usability for the Web (1st ed.). San Francisco: Morgan Kaufmann Publishers. Monday, June 2, 14
  75. 75. www.slideshare.net/BradfordHesse http://cancercontrol.cancer.gov/brp/hcirb/ usability.gov Guidelines Grants This slide deck Thank you! Monday, June 2, 14
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