Pixel Memories

Do Lifelog Summaries Fail to Enhance Memory but Offer Privacy-Aware Memory Assessments?

Conference Paper (2025)
Author(s)

Passant Elagroudy (RPTU Kaiserslautern, German Research Centre for Artificial Intelligence (DFKI))

Rufat Rzayev (Technische Universität Dresden)

Tonja Katrin Machulla (Technische Universität Chemnitz)

Huy Viet Le (University of Stuttgart)

Tilman Dingler (TU Delft - Industrial Design Engineering)

Lars Lischke (Vrije Universiteit Amsterdam)

Sarah Clinch (The University of Manchester)

Geoffrey Ward (University of Essex)

Albrecht Schmidt (Ludwig Maximilians University)

Research Group
Human-Centred Artificial Intelligence
DOI related publication
https://doi.org/10.1145/3706598.3714145 Final published version
More Info
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Publication Year
2025
Language
English
Research Group
Human-Centred Artificial Intelligence
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Article number
835
ISBN (print)
979-8-4007-1394-1
Event
2025 CHI Conference on Human Factors in Computing Systems, CHI 2025 (2025-04-26 - 2025-05-01), Yokohama, Japan
Downloads counter
239
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Abstract

We explore the metaphorical "daily memory pill"concept - a brief pictorial lifelog recap aimed at reviving and preserving memories. Leveraging psychological strategies, we explore the potential of such summaries to boost autobiographical memory. We developed an automated lifelogging memory prosthesis and a research protocol (Automated Memory Validation "AMV") for conducting privacy-aware, in-situ evaluations. We conducted a real-world lifelogging experiment for a month (n=11). We also designed a browser "Pixel Memories"for browsing one-week worth of lifelogs. The results suggest that daily timelapse summaries, while not yielding significant memory augmentation effects, also do not lead to memory degradation. Participants' confidence in recalled content remains unaltered, but the study highlights the challenge of users' overestimation of memory accuracy. Our core contributions, the AMV protocol and "Pixel Memories"browser, advance our understanding of memory augmentations and offer a privacy-preserving method for evaluating future ubicomp systems.

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