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Hanna Schneider, Katrin Schauer, Clemens Stachl, Andreas Butz
Your Data, Your Vis: Personalizing Personal Data Visualizations
In Interact '17 (bib)

Personal Visualizations (PV) provide visual feedback on per- sonal data, e. g., regarding physical activity or energy consumption. They are a vital part of many behavior change technologies (BCT) and Personal Informatics tools. Feedback can be presented in various ways, for example using counts and graphs, stylized displays, metaphoric displays, narrative information, data physicalisations, or even living plants. The properties of a PV are likely to influence its e ectiveness towards reaching a goal. However, usersâ perceptions and preferences regarding di erent PVs seem to vary strongly, rendering a one-size-fits-all approach unsuitable. To in- vestigate, whether preferences for certain PVs coincide with personality or gender, we conducted a lab study with three example PVs: Donut, Glass, and Creature. Indeed, the results of our lab study are a first indicator that there is a relationship between personality traits and preferences for di erent PVs. High scores on extraversion and openness, for example, positively correlated with a preference for Creature. In contrast, high scores in conscientiousness negatively correlated with a preference for Creature. Further research is necessary to better understand how truly personalized PVs can be realized, which, in turn, might fit better into peopleâs lives and thereby be more e ective.