Elagroudy, P., Khamis, M. , Mathis, F., Irmscher, D., Sood, E., Bulling, A. and Schmidt, A. (2023) Impact of Privacy Protection Methods of Lifelogs on Remembered Memories. In: 2023 CHI Conference on Human Factors in Computing Systems (CHI '23), Hamburg, Germany, 23-28 Apr 2023, p. 508. ISBN 9781450394215 (doi: 10.1145/3544548.3581565)
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Abstract
Lifelogging is traditionally used for memory augmentation. However, recent research shows that users’ trust in the completeness and accuracy of lifelogs might skew their memories. Privacy-protection alterations such as body blurring and content deletion are commonly applied to photos 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 recognition more than recall scenarios. Results also show that users have high confidence in their remembered content across all privacy methods. Our work raises awareness about the mindful designing of technological interventions.
| Item Type: | Conference Proceedings |
|---|---|
| Additional Information: | This work is partially supported and funded by the following entities: the Amplify project (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 683008), the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy (EXC2075; grant agreement 390740016), the European Research Council (ERC; grant agreement 801708), the University of Edinburgh and the University of Glasgow jointly funded PhD studentships, by an EPSRC New Investigator award (EP/V008870/1) and by the PETRAS National Centre of Excellence for IoT Systems Cybersecurity, which has been funded by the UK EPSRC under grant number EP/S035362/1, and the HumanE AI Network under the European Union’s Horizon 2020 ICT programme (grant agreement no. 952026). |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Mathis, Mr Florian and Khamis, Dr Mohamed |
| Authors: | Elagroudy, P., Khamis, M., Mathis, F., Irmscher, D., Sood, E., Bulling, A., and Schmidt, A. |
| College/School: | College of Science and Engineering > School of Computing Science |
| ISBN: | 9781450394215 |
| Copyright Holders: | Copyright © 2023 The Authors |
| First Published: | First published in Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems: 508 |
| Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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