inside
Not only,  whether  one gets to Rome, but also  how . Not only,  whether  a user solves a task, but also  how .
What other processes lie in the dark? problem solving
Many Roads Lead to Rome. Mapping Users’ Problem Solving Strategies Eva Mayr, Michael Smuc, Hanna Risku Research Center Kno...
Problem Solving Eyeryday work   problems are often ill-defined! Ill-defined Well-defined Problem Type More than one correc...
User Study <ul><li>Aim : Comparison of two prototyps of Visual Analytics tools </li></ul><ul><li>Sample : 12 data explorer...
Multiscale  vs.  GROOVE
Problem 1: Reading the Data <ul><li>What is the exact value on Christmas day 2007? </li></ul>
Problem 1: Reading the Data <ul><li>What is the exact value on Christmas day 2007? </li></ul>
Problem 2: Reading Beyond the Data <ul><li>From which gastronomic business do the data stem? </li></ul>.
Conclusions <ul><li>Problem solving strategies can be identified with little effort. </li></ul><ul><li>Problem solving str...
 
Postulations for Discussion <ul><li>The black box of the „exploratory mind“ is still in the dark for a great extent. Analy...
Thanks … <ul><li>…  to our expert users for participating </li></ul><ul><li>…  to the Austrian research foundation (FFG) f...
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Many Roads Lead to Rome. Mapping Users’ Problem Solving Strategies.

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Presenter: Eva Mayr, Michael Smuc, Hanna Risku
BELIV 2010 Workshop
http://www.beliv.org/beliv2010/

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  • – depending on the task, the data, the visualisation, &amp; the user
  • Many Roads Lead to Rome. Mapping Users’ Problem Solving Strategies.

    1. 2. inside
    2. 3. Not only, whether one gets to Rome, but also how . Not only, whether a user solves a task, but also how .
    3. 4. What other processes lie in the dark? problem solving
    4. 5. Many Roads Lead to Rome. Mapping Users’ Problem Solving Strategies Eva Mayr, Michael Smuc, Hanna Risku Research Center KnowComm Danube University Krems
    5. 6. Problem Solving Eyeryday work problems are often ill-defined! Ill-defined Well-defined Problem Type More than one correct solutions Ill-defined One correct solution Well-defined Solution Problem Type Multiple ways to get there More than one correct solutions Ill-defined Multiple ways to get there One correct solution Well-defined Problem Solving Strategies Solution Problem Type Reading beyond data (e.g. new hypotheses) Reading in the data (e.g. concrete value) Example Multiple ways to get there More than one correct solutions Ill-defined Multiple ways to get there One correct solution Well-defined Problem Solving Strategies Solution Problem Type
    6. 7. User Study <ul><li>Aim : Comparison of two prototyps of Visual Analytics tools </li></ul><ul><li>Sample : 12 data explorers </li></ul><ul><li>5 real-world data sets </li></ul><ul><li>6-7 problems (from well- to ill-defined) </li></ul><ul><li>Measures : think-aloud, eye-gaze, interaction </li></ul>
    7. 8. Multiscale vs. GROOVE
    8. 9. Problem 1: Reading the Data <ul><li>What is the exact value on Christmas day 2007? </li></ul>
    9. 10. Problem 1: Reading the Data <ul><li>What is the exact value on Christmas day 2007? </li></ul>
    10. 11. Problem 2: Reading Beyond the Data <ul><li>From which gastronomic business do the data stem? </li></ul>.
    11. 12. Conclusions <ul><li>Problem solving strategies can be identified with little effort. </li></ul><ul><li>Problem solving strategies are highly situated. </li></ul><ul><li>For ill-defined problems different information sources are used, both types of problems allow for multiple strategies. </li></ul><ul><li>Problem solving strategies are related to the solution quality. </li></ul><ul><li>Analyzing problem solving strategies provides suggestions how to improve a tool. </li></ul>
    12. 14. Postulations for Discussion <ul><li>The black box of the „exploratory mind“ is still in the dark for a great extent. Analysing problem solving strategies can shed light on it. </li></ul><ul><li>Problem solving strategies are related to insights, time and errors. </li></ul><ul><li>A „good“ visual analytics tool allows for multiple ways to Rome. Insights, time or errors alone cannot unveal this fact. </li></ul>
    13. 15. Thanks … <ul><li>… to our expert users for participating </li></ul><ul><li>… to the Austrian research foundation (FFG) for funding </li></ul><ul><li>… to the reviewers for re-directing the focus of our paper </li></ul><ul><li>… to you for your interest </li></ul>

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