Back to Search
Start Over
Experiencer: An Open-Source Context-Sensitive Wearable Experience Sampling Tool
- Source :
- Pervasive Computing Technologies for Healthcare: 16th EAI International Conference, PervasiveHealth 2022, Thessaloniki, Greece, December 12–14, 2022, Proceedings, 315-331, STARTPAGE=315;ENDPAGE=331;TITLE=Pervasive Computing Technologies for Healthcare
- Publication Year :
- 2023
- Publisher :
- Springer, 2023.
-
Abstract
- We introduce Experiencer, a newly developed Experience Sampling Method (ESM) software for commodity-level smartwatches. We designed this software mainly to address the compliance-related challenges, such as dropouts of study participants, that generations of ESM software solutions have faced. Dropouts are often caused by the inconvenient frequency and timing of the ESM prompts. This can partly be mitigated by utilizing physiological smartwatch sensors to learn which prompting moments are both convenient to the study participant and also relevant to the ESM study designer. Experiencer enables researchers to configure context-sensitive sampling protocols, providing access to raw sensor data, within the boundaries of European privacy legislation. In this paper, we describe the technical capabilities of our software, compare its features with the state-of-the-art, and showcase its application in studies that used Experiencer.
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Pervasive Computing Technologies for Healthcare: 16th EAI International Conference, PervasiveHealth 2022, Thessaloniki, Greece, December 12–14, 2022, Proceedings, 315-331, STARTPAGE=315;ENDPAGE=331;TITLE=Pervasive Computing Technologies for Healthcare
- Accession number :
- edsair.narcis........ecb62ac4ad9f374dedf74aea3455a04d