The case for human-centric personal analytics

WPA 2014 - Proceedings of the 2014 ACM Workshop on Physical Analytics, Co-located with MobiSys 2014

Volumn , Issue , 2014, Pages 25-29

  Lee, Youngki ^a   Balan, Rajesh Krishna ^a  

^a SINGAPORE MANAGEMENT UNIVERSITY   (Singapore)

Author keywords

Human centric contexts; Personal analytics

Indexed keywords

CONTEXT AWARE APPLICATIONS; FACEBOOK; HUMAN-CENTRIC; ONLINE SOURCES; PERSONAL ANALYTICS; RESEARCH CHALLENGES; SENSING DATA; SENSOR DATA;

SOCIAL NETWORKING (ONLINE);

EID: 84904313393     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2611264.2611267     Document Type: Conference Paper

References (12)

1. Balan, R. K., Lee, Y., Wee, T. K., and Misra, A. Challenges in continuous mobile sensing. Proc. of ComsNets, Bangalore, India, 2014.
2. Balan, R. K., Misra, A., and Lee, Y. LiveLabs: Building an in-situ real-time mobile experimentation testbed. Proc. of HotMobile, Santa Barbara, CA, 2014.
3. Choe, E. K., Consolvo, S., Jung, J., Harrison, B., and Kientz, J. Living in a glass house: A survey of private moments in the home. Proc. of UbiComp, Beijing, China, 2011.
4. Chu, D., Lane, N. D., Lai, T. T.-T., Pang, C., Meng, X., Guo, Q., Li, F., and Zhao, F. Balancing energy, latency and accuracy for mobile sensor data classification. Proc. of SenSys, Seattle, WA, 2011.
5. Enck, W., Gilbert, P., Chun, B., Cox, L. P., Jung, J., McDaniel, P., and Sheth, A. N. Taintdroid: An information-flow tracking system for realtime privacy. Proc. of OSDI, Vancouver, Canada, 2010.
6. Kang, S., Kwon, S., Yoo, C., Seo, S., Park, K., Song, J., and Lee, Y. Sinabro: Sinabro: Opportunistic and unobtrusive mobile electrocardiogram monitoring system. Proc. of HotMobile, Santa Barbara, CA, 2014.
7. Klasnja, P., Consolvo, S., Choudhury, T., Beckwith, R., and Hightower, J. Exploring privacy concerns about personal sensing. Proc. of Pervasive, Nara, Japan, 2009.
8. Lee, Y., Iyengar, S. S., Min, C., Ju, Y., Kang, S., Park, T., Lee, J., Rhee, Y., and Song, J. Mobicon: A mobile context-monitoring platform. Commun. ACM, 55(3):54-65, Mar. 2012.
9. LiKamWa, R., Liu, Y., Lane, N. D., and Zhong, L. Moodscope: Building a mood sensor from smartphone usage patterns. Proc. of MobiSys, Taipei, Taiwan, 2013.
10. Lu, H., Frauendorfer, D., Rabbi, M., Mast, M. S., Chittaranjan, G. T., Campbell, A. T., Gatica-Perez, D., and Choudhury, T. Stresssense: Detecting stress in unconstrained acoustic environments using smartphones. Proc. of UbiComp, Pittsburgh, PA, 2012.
11. Nath, S. Ace: Exploiting correlation for energy-efficient and continuous context sensing. Proc. of MobiSys, Low Wood Bay, UK, 2012.
12. Rachuri, K. K., Musolesi, M., Mascolo, C., Rentfrow, P. J., Longworth, C., and Aucinas, A. Emotionsense: A mobile phones based adaptive platform for experimental social psychology research. Proc. of UbiComp, Copenhagen, Denmark, 2010.