• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
Human Factors in Innovation - Euro IA 2009 - Kalbach
 

Human Factors in Innovation - Euro IA 2009 - Kalbach

on

  • 4,850 views

 

Statistics

Views

Total Views
4,850
Views on SlideShare
4,814
Embed Views
36

Actions

Likes
12
Downloads
164
Comments
0

8 Embeds 36

http://www.slideshare.net 13
http://marcelzimmermann.wordpress.com 6
http://community.reedelsevier.com 6
http://know.namics.com 5
http://www.linkedin.com 3
https://know.namics.com 1
http://www.lmodules.com 1
https://www.linkedin.com 1
More...

Accessibility

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

    Human Factors in Innovation - Euro IA 2009 - Kalbach Human Factors in Innovation - Euro IA 2009 - Kalbach Presentation Transcript

    • Human Factors in Innovation
      September 2009
    • James Kalbach
      User Experience Consultant LexisNexis
      LIS Degree Rutgers University
    • Innovation is the new black
    • Invention
      Innovation
      Idea
      Concept
      Thought
      Vision
      Physical
      Proof of concept
      “Hardware”
      Social
      Information
      “Software”
    • Innovation is about social applications of inventions, not about the inventions themselves…
      Engineeering-driven corporate cultures fail…because they don’t address the social needs of their customers…
      Bruce Nussbaum
      “Are Engineers, Scientists And Mathematicians Enemies of Innovation?” Bruce Nussbaum, Business Week (June 16, 2009)
      www.businessweek.com/innovate/NussbaumOnDesign/archives/2009/06/are_engineers_s.html
    • Factors Affecting Adoption
      Perceived attributes
      Type of innovation decision
      Adoption process
      Communication channels
      Amount & type of promotion
      Nature of the social system
      Type of adopter
      1.
      Adoption of Innovation
      2.
      Human Factors
      3.
    • 1. Perceived Attributes
    • Perceived Attributes
      1. Relative AdvantageIs it better?
      2. CompatibilityIs it appropriate?
      3. ComplexityIs it understandable?
      4. TrialabilityCan it be tested?
      5. ObservabilityWhat does it look like?
      Examples of non-adoption
    • 1. Relative Advantage
      USP?
    • Strategy Canvas
    • 2. Compatability
      Is It Appropriate?
    • 2. Compatability
    • 3. Complexity
      Learning Curve
    • “Good Enough” Design
    • 4. Trialability
    • Persuasive IA
    • 5. Observability
    • Visbility
      Breadth vs Depth
      “Information Scent“
    • 2. Adoption Process
    • Phases In Adoption
      Knowledge
      Persuasion
      Decision
      Implemen-tation
      Confirma-tion
      Relative Advantage
      Compatabiltiy
      Complexity
      Trialability
      Observability
      Uncertainty drives the process of adoption
    • 3. Types of Adopters
    • Pragmatists
      ‘Stick with
      the crowd‘
      Conservatives
      ‘Prove it‘
      Visionaries
      ‘Be first‘
      Sceptics
      ‘I doubt it‘
      Techies
      ‘Let‘s
      try it out‘
      Uncertainty drives attitude toward adoption
    • It turns out our attitude toward technology adoption becomes significant…any time we are introduced to products that require us to change our current mode of behavior...
    • George
      Opportunities
      • Due to personnel cuts, needs help with basic administrative tasks
      • Doesn’t have time to learn new programmes and technologies, but knows they can make things easier
      • Concerned about data backups
      • Maintains both electronic and paper client files and calendars
      Lawyer
      “Competition is tough, so I
      strive to give clients sound
      legal advice.”
      Company & Role
      • Medium-size firm: 8 fee-earning lawyers, 3 secretaries
      • Practicing law for 7 years
      • Focus on traffic law and some family law, but takes cases in other areas as needed
      • Has about 30 active client matters at any time
      Background & Skills
      • 36 years old, divorced, 2 children
      • Has email and internet for work, used regularly
      • Novice database searcher, doesn’t invest time to improve
      • Not very tech affine, doesn’t like to deal with tech problems; Needs certainty new tools will improve work
      Tools & Resources
      • A few key books at his desk, shared documentation room
      • Practice management software and paper client files
      • Subscriptions limited to key journals
      • Account with an online research service
      • Firm is very conscious about spending on resources
      Work Activities (110%)
      • Go to court (45%)
      • Prepare briefs, documents; Research (20%)
      • Consult with clients face-to-face (15%)
      • Admin work on files, time tracking (10%)
      • Correspond with clients on a matter (10%)
      • Keep up-to-date (5%)
      • Manage business (personnel, supplies) (5%)
      Typical Work Day
      8:30 Check messages, deadlines, prioritize work
      9:00 Go to court
      12:30 Return, correspond with clients
      13:00Lunch break
      14:00 Reprioritize, correspondence, manage office
      15:00 Consult clients face-to-face in office
      18:00 Client file work, research, prepare next day
      19:00 Go home with law journal and client files
      Late Majority
      Sources: Interviews internally; Market segmentation documentation; Monster.com; Interviews with customers
    • Perceived Attributes
      Adoption Process
      3. Types of Adopters
    • What are innovations in IA?
    • Faceted Classification
      , personality
      ; matter-property
      : energy
      . space
      ' time
      1933: Colon Classification
      S. R. Ranganathan
    • Relative Advantage?
      Compatability?
      Complexity?
      Triability?
      Observability?
    • Conclusion
      IA and UX are fundamentally about innovation
      Tie innovation to human behavior
      Address human factors of innovation
      Conduct ethnographic research
      Use existing frameworks to lower uncertainty
      Take advantage of the paradigm shift
      Design innovation has never been so relevant
      Reach out to managers looking to innovate
      Focus on the risk of non-adoption
      Leverage existing techniques
    • Thank You
      James.Kalbach@gmail.com
      www.experiencinginformation.com