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Creating stories for reflection from multimodal lifelog content: An initial investigation

Byrne, Daragh orcid logoORCID: 0000-0002-2040-9765 and Jones, Gareth J.F. orcid logoORCID: 0000-0003-2923-8365 (2009) Creating stories for reflection from multimodal lifelog content: An initial investigation. In: Designing for Reflection on Experience Workshop at CHI 2009, 4 April 2009, Boston, MA, U.S.A..

Abstract
Using lifelogging tools, digital artifacts can be collected continuously and passively throughout our day. These may include a stream of images recorded passively using tools such as the Microsoft SenseCam; documents, emails and webpages accessed; texts messages and mobile activity; and context sensing to uncover the current location and proximal individuals. The wealth of information such an archive contains on our personal life history provides us with the opportunity to review, reflect and reminisce upon our past experience. However, the complexity, volume and multimodal nature of such collections creates a barrier to such activities. We are currently exploring the potential of digital narratives formed from these collections as a means to overcome these challenges. By successfully reducing the content to that most appropriate to the story, and by then presenting it in a coherent and usable manner, we can hope to better enable reflection. The means by which content reduction and presentation should occur is investigated through card sorting activities and probe sessions which nine participants engaged in. The initial results are discussed, as well as the opportunity, as seen in these sessions, for lifelog-based stories to provide utility in personal reflection and reminiscence.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:Lifelogging; SenseCam; context and content information; storytelling; narrative; reflection; sharing
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:Research Institutes and Centres > Centre for Digital Video Processing (CDVP)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > CLARITY: The Centre for Sensor Web Technologies
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16136
Deposited On:20 Jun 2011 13:04 by Shane Harper . Last Modified 04 Oct 2018 12:15
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