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
Country/TerritoryUnited 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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