Rethinking the test collection methodology for personal self-tracking data

Hopfgartner, F. orcid.org/0000-0003-0380-6088, Gurrin, C. and Joho, H. (2019) Rethinking the test collection methodology for personal self-tracking data. In: Cheng, W.-H., Kim, J., Chu, W.-T., Cui, P., Choi, J.-W., Hu, M.-C. and De Neve, W., (eds.) Proceedings of the 26th International Conference on Multimedia Modeling, MMM2020. 26th International Conference on Multimedia Modeling 2020, 05-08 Jan 2020, Daejeon, South Korea. Lecture Notes in Computer Science, 11962 . Springer , pp. 463-474. ISBN 9783030377335

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Cheng, W.-H.
  • Kim, J.
  • Chu, W.-T.
  • Cui, P.
  • Choi, J.-W.
  • Hu, M.-C.
  • De Neve, W.
Copyright, Publisher and Additional Information:

© 2020 Springer Nature Switzerland AG. This is an author-produced version of a paper subsequently published in Cheng WH. et al. (eds) MultiMedia Modeling. MMM 2020. Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy.

Keywords: lifelogging; evaluation; self-tracking
Dates:
  • Published (online): 24 December 2019
  • Accepted: 24 September 2019
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: 29 Oct 2019 14:16
Last Modified: 24 Dec 2020 01:38
Status: Published online
Publisher: Springer
Series Name: Lecture Notes in Computer Science
Refereed: Yes
Identification Number: 10.1007/978-3-030-37734-2_38
Related URLs:
Open Archives Initiative ID (OAI ID):

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