Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2023) Managing personal information. In: 8th International Visual Informatics Conference - IVIC'2023, 15-17 Nov 2023, Selangor, Malaysia. ISBN 978-981-99-7338-5
Abstract
There is an increasing awareness of the potential that our own self-gathered personal information has for our wellness and our health. This is partly because of our increasing awareness of what others -- the major internet companies mainly -- have been able to do with the personal information that they gather about us. The biggest hurdle to us using and usefully exploiting our own self-gathered personal data are the applications to support that.
In this paper we highlight both the potential and the challenges associated with more widespread use of our own personal data by ourselves and we point at ways in which we believe this might happen. We use the work done in lifelogging and the annual Lifelog Search Challenge as an indicator of what we can do with our own data. We review the small number of existing systems which do allow aggregation of our own personal information and show how the use of large language models could make the management of our personal data more straightforward.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | Personal information; Personal data; Lifelogging; Data integration; Information search |
Subjects: | Computer Science > Information retrieval Computer Science > Lifelog |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Institutes and Centres > INSIGHT Centre for Data Analytics |
Published in: | Badioze Zaman, Halimah, Robinson, Peter and Smeaton, Alan F., (eds.) Advances in Visual Informatics. Lecture Notes in Computer Science (LCNS) 14322. Springer. ISBN 978-981-99-7338-5 |
Publisher: | Springer |
Official URL: | https://doi.org/10.1007/978-981-99-7339-2_1 |
Copyright Information: | © 2024 The Authors. |
Funders: | Science Foundation Ireland [12/RC/2289_P2] |
ID Code: | 29205 |
Deposited On: | 14 Nov 2023 11:18 by Alan Smeaton . Last Modified 14 Nov 2023 11:31 |
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