TY - GEN
T1 - Towards circadian computing
T2 - ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2015 ACM International Symposium on Wearable Computers, UbiComp and ISWC 2015
AU - Abdullah, Saeed
PY - 2015/9/7
Y1 - 2015/9/7
N2 - Human physiology and behavior are deeply rooted in the daily 24 hour temporal structure. Our biological processes vary significantly and idiosyncratically throughout the day. Continued disruption of biological rhythms often has serious consequences for physical and mental well-being, causing cardiovascular disease, cancer, obesity, and mental health problems. My research goal is to advance a vision for \circadian computing" | designing, developing and deploying novel technology that helps to maintain our innate biological rhythms. Towards that vision, I focus on developing technologies for detecting circadian disruptions and providing in-situ interventions. My approach involves passive and automated sensing of behavioral traits to model body clock patterns that can be used to support varying needs of users over time. One strand of my research focuses on developing tools that can adapt to our individual rhythms and provide more biologically attuned support in the areas of physical and cognitive performance, sleep, and wellbeing. The other aspect of my research focuses on mental health | preventing relapse by identifying disruptions and providing circadian interventions for bipolar and schizophrenic patients.
AB - Human physiology and behavior are deeply rooted in the daily 24 hour temporal structure. Our biological processes vary significantly and idiosyncratically throughout the day. Continued disruption of biological rhythms often has serious consequences for physical and mental well-being, causing cardiovascular disease, cancer, obesity, and mental health problems. My research goal is to advance a vision for \circadian computing" | designing, developing and deploying novel technology that helps to maintain our innate biological rhythms. Towards that vision, I focus on developing technologies for detecting circadian disruptions and providing in-situ interventions. My approach involves passive and automated sensing of behavioral traits to model body clock patterns that can be used to support varying needs of users over time. One strand of my research focuses on developing tools that can adapt to our individual rhythms and provide more biologically attuned support in the areas of physical and cognitive performance, sleep, and wellbeing. The other aspect of my research focuses on mental health | preventing relapse by identifying disruptions and providing circadian interventions for bipolar and schizophrenic patients.
UR - http://www.scopus.com/inward/record.url?scp=84962501856&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962501856&partnerID=8YFLogxK
U2 - 10.1145/2800835.2801657
DO - 10.1145/2800835.2801657
M3 - Conference contribution
AN - SCOPUS:84962501856
T3 - UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers
SP - 515
EP - 520
BT - UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers
PB - Association for Computing Machinery, Inc
Y2 - 7 September 2015 through 11 September 2015
ER -
