SXSW 2012 Cragun Keohane IBM

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    ©2008 IBM Corporation1

    Beyond a Thousand Words:

     Accessible Complex Data

    IBM Accessibility Architecture Board Complex Visualizations Working Group

    Brian Cragun, Susann Keohane #SXaccessdata #sxswibm

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    2© 2012 IBM Corporation

    Finding pearls in an ocean of data

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    3© 2012 IBM Corporation

    Representing complex data

    Graphical visualizations communicate information

    Identify relationships, patterns, and connections in data

    Easy to conceptualize and understand complex information

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    4© 2012 IBM Corporation

    Common complex visualizations

    Images: IBM Many Eyes

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    5© 2012 IBM Corporation

    Simulation

    Images: IBM Many Eyes

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    © 2012 IBM Corporation

    Temporary disabilities affect all

    Outside light

    Tiny screen

    One hand

    One hand

     Aging eyes Bumpy roadEyes free

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    © 2012 IBM Corporation

    Why accessibility?

    Inclusion matters

    In today’s social businesses, excluding any individual

    means leaving ideas, insight and opportunities on the table.

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    © 2012 IBM Corporation

    Marketplace risks & opportunities

    ValuesValues

    Legal Risk *

    Technology 

    Trends

    21st Century Customers:

    The 

    Segmentation 

    Challenge  AgeAge WealthWealth   Ethnicity/CultureEthnicity/Culture Life Stage PatternsLife Stage Patterns

    Brand 

    Management   ResponsibilityRights Reputation

    Growth MarketsAddressing

     

    demographic 

    challenges…

    Social 

    Business

    Cloud 

    Analytics

    Mobile 

    Workforce 

    Smart 

    Devices

    Household CompositionHousehold Composition

    Standards & 

    Legislation

    21st Century Communications 

    and Video Accessibility Act 

    (2010)

    15 legal actions 

    or settlements 

    since 2000

    Up ~ 33%  across all 

    industries in 2011   361lawsuits and 

    legal settlements 

    since 2000

    ** Legal action numbers are approximate and based on IBM internal research

    Risks

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    © 2012 IBM Corporation

    Limitation of tables

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    © 2012 IBM Corporation

    Filtering for focus

     

    Provide filters to create a smaller view –  Ability to display a small set of rows or columns

     –  Ability to exclude rows or columns

     – For sorted data: ability to display every nth row

    Source: IBM Cognos product

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    11© 2012 IBM Corporation

    Scaling for simplicity

     

    Reduce complexity with scaling – For large or similar numbers:

     – Simulates sighted scanning of large sets of numbers.

     –  Allows focus on the significant differences.

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    12© 2012 IBM Corporation

    Interaction for insight

     

    Provide interactive queries – Find the row or column that contains the largest or smallest number.

     – Find the column that has the largest rate of change from top to bottom.

     – Find the set of rows that have numbers larger than 1,000,000.

     – Find the 10 rows with the largest numbers

    Source: IBM Cognos product

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    13© 2012 IBM Corporation

    Bubble chart example

    Sort

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    14© 2012 IBM Corporation

    Bubble chart interaction

    Filter 

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    15© 2012 IBM Corporation

    Refocus

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    16© 2012 IBM Corporation

    Technique summary

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    17© 2012 IBM Corporation

    Current research

    Vocalization

    Taxonomy

    Navigation

    User PreferencesUser Preference

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    18© 2012 IBM Corporation

    Vocalization

    The line graph has the title "Operating profits up slightly in second quarter".

    Quarterly values from 1996 to 2006 are shown. The values are given in billions

    of dollars. The lowest yearly values occurred in the second quarter of 1998

    (26.3 billion dollars) and in the second quarter of 1996 (26.7 billion dollars) andthe highest values in the fourth quarter of 2005 (57.6 billion dollars), and in the

    second quarter of 2006 (57 billion dollars).

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    19© 2012 IBM Corporation

    Taxonomy

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    20© 2012 IBM Corporation

    Better navigation

    QIs vocalization alone enough?

    No, self discovery is key to

    understanding the data! That means

    user control and navigation.

     A

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    21© 2012 IBM Corporation

    Key principles to navigation

    Images: IBM Many Eyes

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    22© 2012 IBM Corporation

    Visualization / user prefs

    Images: IBM Many Eyes

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    23© 2012 IBM Corporation

    Dense data and aggregations

    • Find visual patterns• Repetition and cycles

    • Filter data

    • Map data to other modes

    Daily Temperature

    Dense data Bug discovery

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    24© 2012 IBM Corporation

    Future modalities

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    25© 2012 IBM Corporation

    Sonification

    Photo credit Flickr/The Big Quack

    S f

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    26© 2012 IBM Corporation

    Sonification

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    27© 2012 IBM Corporation

    Tactile

    Pi l i d i ib i

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    28© 2012 IBM Corporation

    Piezoelectrics and microvibration• Piezoelectric (Apple US 2009/0167704 A1)

    El t t ti fi ld

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    29© 2012 IBM Corporation

    Electrostatic field

       P   h  o   t  o

      c  r  e   d   i   t  :   S  e  n  s  e  g

    Ai id

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    30© 2012 IBM Corporation

     Air grids

    (Accoustic Radiation Pressure)

       P

       h  o   t  o

      c  r  e   d   i   t  :   U  n   i  v  e

      r  s   i   t  y  o   f   T  o   k  y  o

    T

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    31© 2012 IBM Corporation

    Tongue

    B i t

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    32© 2012 IBM Corporation

    Brainport

    Photo credit: Brainport

    S

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    33© 2012 IBM Corporation

    Success

    Interaction

    + Analysis

    + Presentation

    + Modalities

    = Success

    Q ti ?

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    Questions?