Authors
Heather S Packer, Gustavo Buzogany, Daniel Alexander Smith, Laura Dragan, Max Van Kleek, Nigel R Shadbolt
Publication date
2014/4/26
Conference
CHI'14 Extended Abstracts on Human Factors in Computing Systems
Pages
2185-2190
Publisher
ACM
Description
The many and varied personal activity trackers on the market have the potential to provide unprecedented detail and insight on our everyday activities. However, effective use and interpretation of data from them can be challenging due to common issues. Such issues include false readings due to sensing approaches taken, or missing data arising from a number of different causes. In order to understand user perceptions on this topic, we performed a preliminary survey, which found that users desired the ability to annotate, retroactively repair, and compare their data. Based on insights from this survey, we designed a direct-manipulation interface permitting the consolidated annotation and revision of activity data from multiple devices. A pilot study of this interface found that users understood readily how to use the features offered, and valued the ability to edit, yet preserve the provenance of their data.
Total citations
2014201520162017201820192020202112312411
Scholar articles
HS Packer, G Buzogany, DA Smith, L Dragan… - CHI'14 Extended Abstracts on Human Factors in …, 2014