Your data, your vis: Personalizing personal data visualizations
Journal
16th IFIP Conference on Human-Computer Interaction (INTERACT)
Series
Lecture Notes in Computer Science
ISSN
978-3-319-67686-9
ISSN-Digital
978-3-319-67687-6
Type
journal article
Date Issued
2017-09
Author(s)
Abstract
Personal Visualizations (PV) provide visual feedback on personal 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 effectiveness towards reaching a goal. However, users’ perceptions and preferences regarding different PVs seem to vary strongly, rendering a one-size-fits-all approach unsuitable. To investigate 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 different 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 people’s lives and thereby be more effective.
Language
English
Keywords
Personal informatics
Visualization
Personality
Behavior change
Refereed
Yes
Book title
Bernhaupt R., Dalvi G., Joshi A., K. Balkrishan D., O'Neill J., Winckler M. (eds) Human-Computer Interaction – INTERACT 2017
Publisher
Springer
Volume
10515
Start page
374
End page
392
Official URL
Division(s)
Eprints ID
264556
File(s)![Thumbnail Image]()
Name
2017_Book_Human-ComputerInteractionINTER.pdf
Size
44.65 MB
Format
Adobe PDF
Checksum (MD5)
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