Mapping the users'problem solving strategies in the participatory design of visual analytics methods

Authors:
Eva Mayr;Michael Smuc;Hanna Risku;Wolfgang Aigner;Alessio Bertone;Tim Lammarsch;Silvia Miksch
Affiliations:
Research Center KnowComm, Danube University Krems, Krems, Austria;Research Center KnowComm, Danube University Krems, Krems, Austria;Research Center KnowComm, Danube University Krems, Krems, Austria;Department of Information and Knowledge Engineering, Danube University Krems, Krems, Austria;Department of Information and Knowledge Engineering, Danube University Krems, Krems, Austria;Department of Information and Knowledge Engineering, Danube University Krems, Krems, Austria;Department of Information and Knowledge Engineering, Danube University Krems, Krems, Austria
Venue:
USAB'10 Proceedings of the 6th international conference on HCI in work and learning, life and leisure: workgroup human-computer interaction and usability engineering
Year:
2010

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Abstract

Especially in ill-defined problem spaces, more than one exploration way leads to a solution. But often visual analytics methods do not support the variety of problem solving strategies users might apply. Our study illustrates how knowledge on users' problem solving strategies can be used in the participatory design process to make a visual analytics method more flexible for different user strategies. In order to provide the users a method which functions as a real scaffold it should allow them to choose their own problem solving strategy. Therefore, an important aim for evaluation should be to test the method's flexibility.