Browse DORAS
Browse Theses
Search
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Experiences of aiding autobiographical memory Using the SenseCam

Doherty, Aiden R. and Pauly-Takacs, Katalin and Caprani, Niamh and Gurrin, Cathal and Moulin, Chris and O'Connor, Noel and Smeaton, Alan F. (2012) Experiences of aiding autobiographical memory Using the SenseCam. Human–Computer Interaction, 27 (1-2). pp. 151-174. ISSN 0737-0024

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
1361Kb

Abstract

Human memory is a dynamic system that makes accessible certain memories of events based on a hierarchy of information, arguably driven by personal significance. Not all events are remembered, but those that are tend to be more psychologically relevant. In contrast, lifelogging is the process of automatically recording aspects of one's life in digital form without loss of information. In this article we share our experiences in designing computer-based solutions to assist people review their visual lifelogs and address this contrast. The technical basis for our work is automatically segmenting visual lifelogs into events, allowing event similarity and event importance to be computed, ideas that are motivated by cognitive science considerations of how human memory works and can be assisted. Our work has been based on visual lifelogs gathered by dozens of people, some of them with collections spanning multiple years. In this review article we summarize a series of studies that have led to the development of a browser that is based on human memory systems and discuss the inherent tension in storing large amounts of data but making the most relevant material the most accessible.

Item Type:Article (Published)
Refereed:Yes
Additional Information:This material is based on works supported by the Science Foundation Ireland underGrantNo. 07/CE/I1147 and the Irish Research Council for Science Engineering and Technology.We also acknowledge the support ofMicrosoft Research (grant number 2007-056). Aiden R. Doherty is a Marie Curie postdoctoral research fellow supported by the Irish Health Research Board under grant number MCPD/2010/12.
Uncontrolled Keywords:SenseCam
Subjects:Medical Sciences > Mental health
Computer Science > Interactive computer systems
Computer Science > Lifelog
Medical Sciences > Psychology
Computer Science > Information retrieval
Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Publisher:Taylor and Francis
Official URL:http://www.tandfonline.com/doi/abs/10.1080/07370024.2012.656050
Copyright Information:This is an electronic version of an article published in Human-Computer Interaction. This article is available online at: http://www.tandfonline.com/doi/abs/10.1080/07370024.2012.656050
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, Microsoft Research, Health Research Board
ID Code:16915
Deposited On:24 Apr 2012 13:39 by Aiden Doherty. Last Modified 13 Apr 2013 04:02

Download statistics

Archive Staff Only: edit this record