Qiu, Zhengwei, Gurrin, Cathal ORCID: 0000-0003-2903-3968 and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2016) Evaluating access mechanisms for multimodal representations of lifelogs. In: The 22nd International Conference on Multimedia Modelling (MMM'16), 4-6 Jan, 2016, Miami, FA.. ISBN 978-3-319-27673-1
Abstract
Lifelogging, the automatic and ambient capture of daily life activities into a digital archive called a lifelog, is an increasingly popular activity with a wide range of applications areas including medical (memory support), behavioural science (analysis of quality of life), work-
related (auto-recording of tasks) and more. In this paper we focus on lifelogging where there is sometimes a need to re-find something from one’s past, recent or distant, from the lifelog. To be effective, a lifelog should be accessible across a variety of access devices. In the work reported here we create eight lifelogging interfaces and evaluate their effectiveness on three access devices; laptop, smartphone and e-book reader,for a searching task. Based on tests with 16 users, we identify which of the eight interfaces are most effective for each access device in a known-item search task through the lifelog, for both the lifelog owner, and for other searchers. Our results are important in suggesting ways in which personal lifelogs can be most effectively used and accessed.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Subjects: | Computer Science > Lifelog Computer Science > Machine learning Computer Science > Information retrieval Computer Science > Image processing |
DCU Faculties and Centres: | Research Institutes and Centres > INSIGHT Centre for Data Analytics |
Published in: | Proceedings of MMM 2016 - The 22nd International Conference on Multimedia Modeling. Lecture Notes in Computer Science 9517. Springer. ISBN 978-3-319-27673-1 |
Publisher: | Springer |
Copyright Information: | © 2016 Springer. The original publication is available at www.springerlink.com |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | Science Foundation Ireland |
ID Code: | 20864 |
Deposited On: | 13 Jan 2016 09:18 by Zhengwei Qiu . Last Modified 15 Dec 2021 16:14 |
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