Many Roads Lead to Rome. Mapping Users’ Problem Solving Strategies
From BELIV 2010
Presentation
Notes
- time and error: outcome measure
- look inside the black box, how people solve their tasks, not only better / worse
- insight is already in the black box; what happening in the process, one of these is problem solving process, match to vis / visual analytics tool
- problem solving: two types of problems: well vs ill defined (more than one correct solution), both have multiple ways to get to solution. ill defined is more interesting in the real world, but research focuses on well defined
- study looked at both well and ill defined problems
- well: strategy: different for diff data and tools
- ill: diff people used diff data sources, solution quality correlated with # of data sources, better solution used more strategies
q and a
- problem solving is very tool centered: more task centered, can look at interaction with the tool, some part of the problem solving process is not tool related e.g., using prior knowledge
- how do you get your data: think aloud, interaction logs, eye gaze
- how fruitful for log: proof of which level of the data was used, very useful to get the strategies
- strategy depends on tasks, more general problem solving strategy: for more general tasks, e.g., locating specific date, but differ from tool to tool, different interaction possibilities, don't think you can have meta-problem solving strategy
- more sources used, right idea, not spending more time, no solution spent more time
- not linking # info sources and strategy
- missing data? say what you know and don't know, are all data sources relevant to the problem: could get solution without using all the data sources
- tradeoff, how information is presented and how much? with gaze pattern, can tell what people used
