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Measuring the user experience of data visualization

Willigen, T.M. van (2019) Measuring the user experience of data visualization.

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Abstract:In a world where data is increasingly being collected and used, it is important to develop ways to explore the data as well. This can be done by visualizing the data. The quality of such information visualizations is often measured with the usability metrics effectiveness and efficiency, which misses hedonic factors such as joy-of-use and aesthetic quality. The concept of user experience (UX) does include these factors and is a good predictor for the overall evaluation of an information visualization by the user. However, there are numerous ways of measuring UX as the field is still young and has many definitions. This exploratory research examined if the CUE (components of user experience) model and its measurement tool meCUE, which were found to be promising candidates for measuring the UX of data visualization, are indeed suitable for the domain of data visualization. In specific, this research measured the UX of information visualizations which had small deviations in terms of animated elements, to see if measures of UX could explain the preferences of users. The meCUE method could not measure the subtle differences in the experiment and in this case qualitative research seems superior to it. The results show the subjectivity of UX and outline the importance to specify a user group. The results also suggest that the evaluation of UX might benefit from not purely relying on a user’s self-report and involve research interpretation and objectiveness.
Item Type:Essay (Master)
Clients:
TNO, Soesterberg, Netherlands
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:01 general works
Programme:Interaction Technology MSc (60030)
Link to this item:http://purl.utwente.nl/essays/77564
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