TY - GEN
T1 - Using adaptive feedback for promoting awareness about physical activeness in adults
AU - Mukhtar, Hamid
AU - Belaid, Djamel
PY - 2013
Y1 - 2013
N2 - Physical activities play important role in having better health. However, due to the nature of our jobs, most of us have developed sedentary habits and it is very seldom that we find dedicated time for exercise or other physical activities. Sedentary behavior has been identified as an important factor in preventing good health and there is a need to push adults to carry out physical activities regularly, on daily basis. The purpose of the current research is to find how we can effectively use mobile phone technology to raise awareness about sedentary behavior in users and how we can persuade users to do physical activities. For this purpose, we developed a mobile application called Sedentaware. We describe different mobile application prototypes and experiments that were conducted on adult users for preventing sedentary behavior in order to promote physical activities among adults. Our final prototype that is able to motivate the users to take corrective actions, after detecting prolonged sedentary behavior, uses an adaptive model based on each user's progress. We identify some human and software design factors and describe why our previous approaches did not work before arriving at the final one. The results of user experiments and performance evaluations are also discussed.
AB - Physical activities play important role in having better health. However, due to the nature of our jobs, most of us have developed sedentary habits and it is very seldom that we find dedicated time for exercise or other physical activities. Sedentary behavior has been identified as an important factor in preventing good health and there is a need to push adults to carry out physical activities regularly, on daily basis. The purpose of the current research is to find how we can effectively use mobile phone technology to raise awareness about sedentary behavior in users and how we can persuade users to do physical activities. For this purpose, we developed a mobile application called Sedentaware. We describe different mobile application prototypes and experiments that were conducted on adult users for preventing sedentary behavior in order to promote physical activities among adults. Our final prototype that is able to motivate the users to take corrective actions, after detecting prolonged sedentary behavior, uses an adaptive model based on each user's progress. We identify some human and software design factors and describe why our previous approaches did not work before arriving at the final one. The results of user experiments and performance evaluations are also discussed.
KW - Adaptive alarms
KW - Adaptive model
KW - Motivation
UR - http://www.scopus.com/inward/record.url?scp=84894112491&partnerID=8YFLogxK
U2 - 10.1109/UIC-ATC.2013.99
DO - 10.1109/UIC-ATC.2013.99
M3 - Conference contribution
AN - SCOPUS:84894112491
SN - 9781479924813
T3 - Proceedings - IEEE 10th International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and IEEE 10th International Conference on Autonomic and Trusted Computing, ATC 2013
SP - 638
EP - 643
BT - Proceedings - IEEE 10th International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and IEEE 10th International Conference on Autonomic and Trusted Computing, ATC 2013
T2 - 10th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and 10th IEEE International Conference on Autonomic and Trusted Computing, ATC 2013
Y2 - 18 December 2013 through 21 December 2013
ER -