Developing an Extended Task Framework for Exploratory Data Analysis Along the Structure of Time

T. Lammarsch, A. Rind, W. Aigner, S. Miksch:
"Developing an Extended Task Framework for Exploratory Data Analysis Along the Structure of Time";
Vortrag: The 3rd International Eurovis workshop on Visual Analytics (EuroVA), Vienna, Austria; 04.06.2012 - 05.06.2012; in:"Proceedings of the EuroVis Workshop on Visual Analytics in Vienna, Austria (EuroVA 2012)", K. Matkovic, G. Santucci (Hrg.); Eurographics Publications, Goslar, Germany (2012), ISBN: 978-3-905673-89-0; S. 31 - 35.

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Abstract:


Exploratory data analysis of time-oriented data is an important goal that Visual Analytics has to tackle. When users from real-world domains are asked about time-oriented tasks, they often refer to the unique structure of time (e.g., calendars, primitives, etc.). Several task frameworks have been developed, but none of them combines a complete, systematic approach with explicit attention to the structure of time. To fill this gap, we aim for complementing an established task framework with a rule set that explicitly models the structure of time for tasks. This rule set allows to consistently formulate tasks for evaluating time-oriented data analysis methods.