A user-study examining visualization of lifelogs

Soumyadeb Chowdhury, Md Sadek Ferdous, Joemon M. Jose

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

Abstract

With continuous advances in the pervasive sensing and lifelogging technologies for the quantified self, users now can record their daily life activities automatically and seamlessly. In the existing lifelogging research, visualization techniques for presenting the lifelogs and evaluating the effectiveness of such techniques from a lifelogger's perspective has not been adequately studied. In this paper, we investigate the effectiveness of four distinct visualization techniques for exploring the lifelogs, which were collected by 22 lifeloggers who volunteered to use a wearable camera and a GPS device simultaneously, for a period of 3 days. Based on a user study with these 22 lifeloggers, which required them to browse through their personal lifelogs, we seek to identify the most effective visualization technique. Our results suggest various ways to augment and improve the visualization of personal lifelogs to enrich the quality of user experience and making lifelogging tools more engaging. We also propose a new visualization feature-drill-down approach with details-on-demand, to make the lifelogging visualization process more meaningful and informative to the lifeloggers.
Original languageEnglish
Title of host publication2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI)
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-4673-8695-1
DOIs
Publication statusPublished - 30 Jun 2016
Event14th International Workshop on Content-Based Multimedia Indexing -
Duration: 15 Jun 201617 Jun 2016

Publication series

Name
ISSN (Electronic)1949-3991

Workshop

Workshop14th International Workshop on Content-Based Multimedia Indexing
Abbreviated titleCBMI
Period15/06/1617/06/16

Bibliographical note

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Funding: ESRC (ES/L011921/1).

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    Chowdhury, S., Ferdous, M. S., & Jose, J. M. (2016). A user-study examining visualization of lifelogs. In 2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI) IEEE. https://doi.org/10.1109/CBMI.2016.7500236