Footprint Tracker: Supporting Diary studies with lifelogging

Rúben Gouveia, Evangelos Karapanos

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

34 Citations (Scopus)

Abstract

As HCI shifts "to the wild", in-situ methods such as Diary Methods and the Experience Sampling Method are gaining momentum. However, researchers have acknowledged the intrusiveness and lack of realism in these methods and have proposed solutions, notably through lightweight and rich media capture. In this paper we explore the concept of lifelogging as an alternative solution to these two challenges. We describe Footprint Tracker, a tool that allows the review of lifelogs with the aim to support recall and reflection over daily activities and experiences. In a field trial, we study how four different types of cues, namely visual, location, temporal and social context, trigger memories of recent events and associated emotions. We conclude with a number of implications for the design of lifelogging systems that support recall and reflection upon recent events as well as ones lying further in our past.

Original languageEnglish
Title of host publicationCHI 2013
Subtitle of host publicationProceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pages2921-2930
Number of pages10
DOIs
Publication statusPublished - 27 May 2013
Externally publishedYes
Event31st Annual ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2013 - Palais de Congrès de Paris, Paris, France
Duration: 27 Apr 20132 May 2013
https://chi2013.acm.org/

Conference

Conference31st Annual ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2013
Abbreviated titleCHI 2013
CountryFrance
CityParis
Period27/04/132/05/13
Internet address

Keywords

  • Diary methods
  • Experience sampling
  • Lifelogging

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