Hopfgartner, F. orcid.org/0000-0003-0380-6088 (2022) An introduction to retrieval and reminiscence from Lifelog archives at NTCIR. In: LSC '22: Proceedings of the 5th Annual on Lifelog Search Challenge. ICMR '22: International Conference on Multimedia Retrieval, 27-30 Jun 2022, Newark, NJ, USA. ACM Digital Library ISBN 9781450392396
Abstract
In recent years, various software and hardware tools have entered the consumer market which enable users to log data about their lives on a continuous basis. Popular examples include self-tracking devices or apps such as Fitbit or Garmin that allow users to keep track of their physical activities or to monitor their biometrics. The process of gathering such multi-modal data from multiple sources is also referred to as lifelogging.
Due to the constant stream of data being captured, lifelogging can result in the creation of large personal archives that are too large for manual organization. Consequently, automated approaches to handle such data are needed. However, due to privacy concerns, advances in the field have been limited by the lack of shared test collections.
Aiming to promote further research on novel approaches to multi-modal personal data analytics and retrieval, we organized a comparative benchmarking exercise, Lifelog, that ran between 2015 and 2022 as part of the evaluation conference NTCIR. Several Lifelog datasets were released and participants could work on various sub-tasks to tackle different challenges related to Lifelog retrieval. In this keynote presentation, I will give an overview of these sub-tasks and reflect on lessons learned.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Author(s). This is an author-produced version of a paper subsequently published in LSC '22: Proceedings of the 5th Annual on Lifelog Search Challenge. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Lifelogging; evaluation; information retrieval |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 May 2022 06:42 |
Last Modified: | 27 Jun 2022 12:52 |
Status: | Published online |
Publisher: | ACM Digital Library |
Refereed: | Yes |
Identification Number: | 10.1145/3512729.3533004 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:186272 |