Home > Research > Publications & Outputs > Impact of video summary viewing on episodic mem...

Electronic data

  • paper1874 final

    Rights statement: © ACM, 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems http://dx.doi.org/10.1145/2858036.2858413

    Accepted author manuscript, 546 KB, PDF-document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Links

Text available via DOI:

View graph of relations

Impact of video summary viewing on episodic memory recall: design guidelines for video summarizations

Research output: Contribution in Book/Report/ProceedingsConference contribution

Published
Publication date7/05/2016
Host publicationCHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York
PublisherACM
Pages4793-4805
Number of pages13
ISBN (Print)9781450333627
<mark>Original language</mark>English

Abstract

Reviewing lifelogging data has been proposed as a useful tool to support human memory. However, the sheer volume of data (particularly images) that can be captured by modern lifelogging systems makes the selection and presentation of material for review a challenging task. We present the results of a five-week user study involving 16 participants and over 69,000 images that explores both individual requirements for video summaries and the differences in cognitive load, user experience, memory experience, and recall experience between review using video summarisations and non-summary review techniques. Our results can be used to inform the design of future lifelogging data summarisation systems for memory augmentation.

Bibliographic note

© ACM, 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems http://dx.doi.org/10.1145/2858036.2858413