Self-Efficacy in Daily Activity Management

A large proportion of activity tracker users typically quit using these kinds of trackers after several months. Thus, to design a system to motivate people to keep exercising is a crucial issue to address. We propose an intelligent system that integrates projection and labeling to help people make decisions about their exercise. As a result, people are expected to raise their awareness of their own data and activities, resulting in increased self-efficacy.

Background

The public has widely adopted activity trackers. These wearable devices record personal information like steps taken, calories consumed, and hours slept. People use them to log exercise and set reminders; however, it is difficult for people to use them consistently. Though most products have hardware that allows multiple visualizations to deliver data to users, it is still unclear to us how users understand and leverage the data for decision-making.

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(Example of Fitbit's user panel)

Overview of Interface

To address the drop rate, we propose an intelligent interactive system to help users customize their plans based on their real-life experiences. The basic idea is to unify self-reflection-generated tags with planning to reach user goals.

Statistics page(previous activities):

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Planned activities in the future:

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The tags generated can be organized for planning. Since the labels are connected to people’s life experiences, it will be easier for them to decide which activities to include in their plan. By merely dragging and dropping, tags can be organized by date. The central idea here is to help users make a program which they can intuitively follow without significant disruption to their life routine.

Publications

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