Abstract
Interest is increasing in personal health technologies that utilize mobile platforms for improved health and well-being. However, although a wide variety of these systems exist, each is designed quite differently and materializes many different and more or less explicit design assumptions. To enable designers to make informed and well-articulated design decision, the authors propose a design space for personal health technologies. This space consists of 10 dimensions related to the design of data sampling strategies, visualization and feedback approaches, treatment models, and regulatory constraints.
| Original language | English |
|---|---|
| Journal | I E E E Pervasive Computing |
| Volume | 15 |
| Issue number | 2 |
| Pages (from-to) | 70-78 |
| ISSN | 1536-1268 |
| DOIs | |
| Publication status | Published - 2016 |
Bibliographical note
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