Collaborative lifelogging through the integration of machine and human computation
Document Type
Conference Proceeding
Publication Date
3-16-2019
Abstract
This article outlines a new class of computing system, which we refer to as collaborative lifelogging (CLL). CLL advances state of the art in lifelogging and self-tracking systems by supporting social group collaboration on sensor data capture through the formation of on-the-fly self-tracking groups and the contextualization of data through human and machine-based computation.
Identifier
85074451512 (Scopus)
ISBN
[9781450366731]
Publication Title
International Conference on Intelligent User Interfaces Proceedings IUI
External Full Text Location
https://doi.org/10.1145/3308557.3308714
First Page
23
Last Page
24
Recommended Citation
Ahmadi, Mousa; Borcea, Cristian; and Jones, Quentin, "Collaborative lifelogging through the integration of machine and human computation" (2019). Faculty Publications. 7723.
https://digitalcommons.njit.edu/fac_pubs/7723
