Abstract
The investigation of how users make sense of the data provided by information systems is very important for human computer interaction. In this context, understanding the interaction processes of users plays an important role. The analysis of interaction sequences, for example, can provide a deeper understanding about how users solve problems. In this paper we present an analysis of sequences of interactions within a visualization system and compare the results to previous research. We used log file analysis and thinking aloud as methods. There is some indication based on log file analysis that there are interaction patterns which can be generalized. Thinking aloud indicates that some cognitive processes occur together with a higher probability than others.
| Original language | English |
|---|---|
| Pages (from-to) | 54-66 |
| Number of pages | 13 |
| Journal | International Journal of Human-Computer Studies |
| Volume | 96 |
| DOIs | |
| Publication status | Published - 1 Dec 2016 |
| Externally published | Yes |
Funding
We acknowledge the contribution of Désirée Lavaulx-Vrécourt and Ruth Wittmann in collecting and analyzing the data. We also thank Bilal Alsallakh for the development of the tested system. This work is conducted in the context of the CVAST (Centre of Visual Analytics Science and Technology) project. It is funded by the Austrian Federal Ministry of Science, Research, and Economy in the exceptional Laura Bassi Centres of Excellence initiative (project number: 822746 ).
Keywords
- Interaction sequences
- Lag-sequential analysis
- Log files
- Thinking aloud
- Visualization
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