|Cécile Boulard, Antonietta Grasso, Tommaso Colombino|
|Conference on Human Factors in Computing Systems (CHI), Montreal, Canada, 21-26 April, 2018|
In this study we take fitness or activity trackers as examples of a technology that aims to utilize long-term tracking as an aid to behavior change. Many studies have already analyzed the use of activity trackers and shown that it is in fact difficult to engage users over long periods of time. We believe that one reason for this is the reductionist approach to quantification of self these activity trackers adopt. In order to overcome this difficulty and help users to benefit from the value of long term tracking, we think it should be integrated into a broader change-management ecosystem. Rather than looking for long-term tracking as an end, we suggest to look for long-term needs supported by technological tools that can include trackers.
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