Accepted author manuscript, 2.78 MB, PDF document
Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Context-Aware Wearables
T2 - 2021 ACM CHI Conference on Human Factors in Computing Systems
AU - Snooks, Kim
AU - Lindley, Joseph
AU - Richards, Daniel
AU - Whitham, Roger
PY - 2021/5/13
Y1 - 2021/5/13
N2 - We present Connected Companion (CoCo), a health tracking wearable that provides users with timely, context-relevant notifications aimed at improving wellness. Traditionally, self-tracking wearables report basic health data such as resting heart rate; these data are visualised and positive behaviours (e.g. exercising often) are encouraged with rudimentary gamification (e.g. award badges) and notification systems. CoCo is the first wearable to combine caffeine, alcohol and cortisol sensors, a context network (which predicts user context), and a wellness model (which establishes per-user wellness measures). Working in tandem these provide users with notifications that encourage discrete behaviours intended to optimise user-wellness per very specific biological and social contexts. The paper describes the (sometimes unexpected) results of a user-study intended to evaluate CoCo’s efficacy and we conclude with a discussion about the power and responsibility that comes with attempts to build context-aware computing systems.
AB - We present Connected Companion (CoCo), a health tracking wearable that provides users with timely, context-relevant notifications aimed at improving wellness. Traditionally, self-tracking wearables report basic health data such as resting heart rate; these data are visualised and positive behaviours (e.g. exercising often) are encouraged with rudimentary gamification (e.g. award badges) and notification systems. CoCo is the first wearable to combine caffeine, alcohol and cortisol sensors, a context network (which predicts user context), and a wellness model (which establishes per-user wellness measures). Working in tandem these provide users with notifications that encourage discrete behaviours intended to optimise user-wellness per very specific biological and social contexts. The paper describes the (sometimes unexpected) results of a user-study intended to evaluate CoCo’s efficacy and we conclude with a discussion about the power and responsibility that comes with attempts to build context-aware computing systems.
KW - Design Fiction
KW - Imaginary Paper
KW - Sensors
KW - Health Trackers
U2 - 10.1145/3411763.3450367
DO - 10.1145/3411763.3450367
M3 - Conference contribution/Paper
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, CHI EA 2021
PB - ACM
CY - New York
Y2 - 8 May 2021 through 13 May 2021
ER -