Fitness trackers not just provide easy means to acquire physiological data in real-world environments due to affordable sensing technologies, they further offer opportunities for physiology-aware applications and studies in HCI; however, their performance is not well understood. In this paper, we report findings on the quality of 3 sensing technologies: PPG-based wrist trackers (Apple Watch, Microsoft Band 2), an ECG-belt (Polar H7) and reference device with stick-on ECG electrodes (Nexus 10). We collected physiological (heart rate, electrodermal activity, skin temperature) and subjective data from 21 participants performing combinations of physical activity and stressful tasks. Our empirical research indicates that wrist devices provide a good sensing performance in stationary settings. However, they lack accuracy when participants are mobile or if tasks require physical activity. Based on our findings, we suggest a textitDesign Space for Wearables in Research Settings and reflected on the appropriateness of the investigated technologies in research contexts.
%0 Conference Paper
%1 conf/chi/HanselPHAS18
%A Hänsel, Katrin
%A Poguntke, Romina
%A Haddadi, Hamed
%A Alomainy, Akram
%A Schmidt, Albrecht
%B Proceedings of the CHI Conference on Human Factors in Computing Systems
%D 2018
%E Mandryk, Regan L.
%E Hancock, Mark
%E Perry, Mark
%E Cox, Anna L.
%I ACM
%K 2018 C06 sfbtrr161
%P 145:1-145:14
%R 10.1145/3173574.3173719
%T What to Put on the User: Sensing Technologies for Studies and Physiology Aware Systems
%U https://doi.org/10.1145/3173574.3173719
%X Fitness trackers not just provide easy means to acquire physiological data in real-world environments due to affordable sensing technologies, they further offer opportunities for physiology-aware applications and studies in HCI; however, their performance is not well understood. In this paper, we report findings on the quality of 3 sensing technologies: PPG-based wrist trackers (Apple Watch, Microsoft Band 2), an ECG-belt (Polar H7) and reference device with stick-on ECG electrodes (Nexus 10). We collected physiological (heart rate, electrodermal activity, skin temperature) and subjective data from 21 participants performing combinations of physical activity and stressful tasks. Our empirical research indicates that wrist devices provide a good sensing performance in stationary settings. However, they lack accuracy when participants are mobile or if tasks require physical activity. Based on our findings, we suggest a textitDesign Space for Wearables in Research Settings and reflected on the appropriateness of the investigated technologies in research contexts.
@inproceedings{conf/chi/HanselPHAS18,
abstract = {Fitness trackers not just provide easy means to acquire physiological data in real-world environments due to affordable sensing technologies, they further offer opportunities for physiology-aware applications and studies in HCI; however, their performance is not well understood. In this paper, we report findings on the quality of 3 sensing technologies: PPG-based wrist trackers (Apple Watch, Microsoft Band 2), an ECG-belt (Polar H7) and reference device with stick-on ECG electrodes (Nexus 10). We collected physiological (heart rate, electrodermal activity, skin temperature) and subjective data from 21 participants performing combinations of physical activity and stressful tasks. Our empirical research indicates that wrist devices provide a good sensing performance in stationary settings. However, they lack accuracy when participants are mobile or if tasks require physical activity. Based on our findings, we suggest a textitDesign Space for Wearables in Research Settings and reflected on the appropriateness of the investigated technologies in research contexts.},
added-at = {2020-03-06T13:36:14.000+0100},
author = {Hänsel, Katrin and Poguntke, Romina and Haddadi, Hamed and Alomainy, Akram and Schmidt, Albrecht},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2eb6a5e6126b31c67ffc34e23a1905794/leonkokkoliadis},
booktitle = {Proceedings of the CHI Conference on Human Factors in Computing Systems},
doi = {10.1145/3173574.3173719},
editor = {Mandryk, Regan L. and Hancock, Mark and Perry, Mark and Cox, Anna L.},
ee = {https://doi.org/10.1145/3173574.3173719},
interhash = {b9146010d1b2d2f28bbec30d1fccd9b5},
intrahash = {eb6a5e6126b31c67ffc34e23a1905794},
keywords = {2018 C06 sfbtrr161},
pages = {145:1-145:14},
publisher = {ACM},
timestamp = {2020-03-06T12:36:14.000+0100},
title = {What to Put on the User: Sensing Technologies for Studies and Physiology Aware Systems},
url = {https://doi.org/10.1145/3173574.3173719},
year = 2018
}