TY - JOUR
T1 - Semi-Automated Tracking
T2 - A Balanced Approach for Self-Monitoring Applications
AU - Choe, Eun Kyoung
AU - Abdullah, Saeed
AU - Rabbi, Mashfiqui
AU - Thomaz, Edison
AU - Epstein, Daniel A.
AU - Cordeiro, Felicia
AU - Kay, Matthew
AU - Abowd, Gregory D.
AU - Choudhury, Tanzeem
AU - Fogarty, James
AU - Lee, Bongshin
AU - Matthews, Mark
AU - Kientz, Julie A.
N1 - Publisher Copyright:
© 2002-2012 IEEE.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - The authors present an approach for designing self-monitoring technology called 'semi-automated tracking,' which combines both manual and automated data collection methods. Through this approach, they aim to lower the capture burdens, collect data that is typically hard to track automatically, and promote awareness to help people achieve their self-monitoring goals. They first specify three design considerations for semi-automated tracking: data capture feasibility, the purpose of self-monitoring, and the motivation level. They then provide examples of semi-automated tracking applications in the domains of sleep, mood, and food tracking to demonstrate strategies they developed to find the right balance between manual tracking and automated tracking, combining each of their benefits while minimizing their associated limitations.
AB - The authors present an approach for designing self-monitoring technology called 'semi-automated tracking,' which combines both manual and automated data collection methods. Through this approach, they aim to lower the capture burdens, collect data that is typically hard to track automatically, and promote awareness to help people achieve their self-monitoring goals. They first specify three design considerations for semi-automated tracking: data capture feasibility, the purpose of self-monitoring, and the motivation level. They then provide examples of semi-automated tracking applications in the domains of sleep, mood, and food tracking to demonstrate strategies they developed to find the right balance between manual tracking and automated tracking, combining each of their benefits while minimizing their associated limitations.
UR - http://www.scopus.com/inward/record.url?scp=85009885076&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85009885076&partnerID=8YFLogxK
U2 - 10.1109/MPRV.2017.18
DO - 10.1109/MPRV.2017.18
M3 - Article
AN - SCOPUS:85009885076
SN - 1536-1268
VL - 16
SP - 74
EP - 84
JO - IEEE Pervasive Computing
JF - IEEE Pervasive Computing
IS - 1
M1 - 7807194
ER -