Footprint Tracker: reviewing lifelogs and reconstructing daily experiences

Rúben Gouveia, Evangelos Niforatos, Evangelos Karapanos

Research output: Working paperProfessional

Abstract

With the increasing emphasis on how mobile technologies are experienced in everyday life, researchers are increasingly emphasizing the use of in-situ methods such as Experience Sampling and Day Reconstruction. In our line of research we explore the concept of Technology-Assisted Reconstruction, in which passively logged behavior data assist in the later reconstruction of daily experiences. In this paper we introduce Footprint tracker, a web application that supports participants in reviewing lifelogs and reconstructing their daily experiences. We focus on three kinds of data: visual (as captured through Microsoft's sensecam), location, and context (i.e., SMS and calls received and made). We describe how Footprint Tracker supports the user in reviewing these lifelogs and outline a field study that attempts to inquire into whether and how this data support reconstruction from memory.
Original languageEnglish
PublisherArXiv
Number of pages2
Publication statusPublished - 2012
Externally publishedYes

Keywords

  • Experience sampling
  • Day reconstruction
  • Life-logging

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