Many Roads Lead to Rome. Mapping Users’ Problem Solving Strategies.
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The document discusses analyzing users' problem solving strategies when using visual analytics tools. It describes a study comparing two tools where users solved well and ill-defined problems from real-world data sets. The study found that different information sources were used for ill-defined problems and multiple strategies were possible for both well and ill-defined problems. Analyzing problem solving strategies provided insights on how to improve the tools and shed light on the still poorly understood "exploratory mind."
Many Roads Lead to Rome. Mapping Users’ Problem Solving Strategies.
- 2. inside
- 3. Not only, whether one gets to Rome, but also how . Not only, whether a user solves a task, but also how .
- 4. What other processes lie in the dark? problem solving
- 5. Many Roads Lead to Rome. Mapping Users’ Problem Solving Strategies Eva Mayr, Michael Smuc, Hanna Risku Research Center KnowComm Danube University Krems
- 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
- 7. User Study Aim : Comparison of two prototyps of Visual Analytics tools Sample : 12 data explorers 5 real-world data sets 6-7 problems (from well- to ill-defined) Measures : think-aloud, eye-gaze, interaction
- 8. Multiscale vs. GROOVE
- 9. Problem 1: Reading the Data What is the exact value on Christmas day 2007?
- 10. Problem 1: Reading the Data What is the exact value on Christmas day 2007?
- 11. Problem 2: Reading Beyond the Data From which gastronomic business do the data stem? .
- 12. Conclusions Problem solving strategies can be identified with little effort. Problem solving strategies are highly situated. For ill-defined problems different information sources are used, both types of problems allow for multiple strategies. Problem solving strategies are related to the solution quality. Analyzing problem solving strategies provides suggestions how to improve a tool.
- 14. Postulations for Discussion 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. Problem solving strategies are related to insights, time and errors. A „good“ visual analytics tool allows for multiple ways to Rome. Insights, time or errors alone cannot unveal this fact.
- 15. Thanks … … to our expert users for participating … to the Austrian research foundation (FFG) for funding … to the reviewers for re-directing the focus of our paper … to you for your interest
Editor's Notes
- #13: – depending on the task, the data, the visualisation, & the user