Collaborative lifelogging through the integration of machine and human computation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 24th International Conference on Intelligent User Interfaces, IUI 2019
PublisherAssociation for Computing Machinery
Pages23-24
Number of pages2
ISBN (Electronic)9781450366731
DOIs
StatePublished - Mar 16 2019
Event24th International Conference on Intelligent User Interfaces, IUI 2019 - Marina del Ray, United States
Duration: Mar 16 2019Mar 20 2019

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference24th International Conference on Intelligent User Interfaces, IUI 2019
CountryUnited States
CityMarina del Ray
Period3/16/193/20/19

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction

Keywords

  • Lifelogging
  • Machine learning
  • Self-tracking

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