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Impact of Privacy Protection Methods of Lifelogs on Remembered Memories

Passant Elagroudy, Mohamed Khamis, Florian Mathis, Diana Irmscher, Ekta Sood, Andreas Bulling, Albrecht Schmidt

Proc. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), pp. , 2023.


Abstract

Lifelogging is traditionally used for memory augmentation. However, recent research shows that users’ trust in the completeness and accuracy of lifelogs might accidentally skew their memories. Privacy-protection alterations such as body blurring and content deletion are commonly applied to lifelogs to circumvent capturing sensitive information. However, their impact on how users remember memories remain unclear. To this end, we conduct a white-hat memory attack and report on an iterative experiment (N=21) to compare the impact of viewing 1) unaltered lifelogs, 2) blurred lifelogs, and 3) a subset of the lifelogs after deleting private ones, on confidently remembering memories. Findings indicate that all the privacy methods impact memories’ quality similarly and that users tend to change their answers in recall rather than recognition situations. It also shows that users have high confidence in their remembered content across all privacy methods. Our work raises awareness about the mindful designing of technological interventions.

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BibTeX

@inproceedings{elagroudy23_chi, author = {Elagroudy, Passant and Khamis, Mohamed and Mathis, Florian and Irmscher, Diana and Sood, Ekta and Bulling, Andreas and Schmidt, Albrecht}, title = {Impact of Privacy Protection Methods of Lifelogs on Remembered Memories}, booktitle = {Proc. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI)}, year = {2023}, doi = {}, pages = {} }