How do Users Expect their Smart Memory Vaults to Utilize Their Shared Memories?
Authors: 
Passant Elagroudy, Mennatallah Saleh, Christian Sturm, 
Albrecht SchmidtAuthors Info & Claims
Article No.: 448, Pages 1 - 6
Abstract
Social media (SM) is a popular accessible form of smart memory vaults. Prior work shows that users are still unable to understand how their shared memories are used by smart systems to create Smart Interactions involving Personal Memories (SIPMs). This can lead to negative social repercussions such as cyberbullying. This work investigates the most memorable SIPMs on Facebook for Egyptian users and their impact on platform usage. We conducted an online survey (N=53) requesting critical incident reports about surprising Facebook SIPMs. The most remembered SIPMs were: customizing advertisements, cuing offline interactions, sharing data with third parties and personalizing the newsfeed. Our results suggest that SIPMs, particularly customized advertisements act as ambient memory augmentation solutions to the users’ shared memories. Additionally, negative platform perception does not necessarily translate into reduction of platform usage. Our work inspires the discussion about users expectations towards ambient usage of their data on smart memory vaults.
Supplementary Material
References
[1]
Alessandro Acquisti, Idris Adjerid, Rebecca Balebako, Laura Brandimarte, Lorrie Faith Cranor, Saranga Komanduri, Pedro Giovanni Leon, Norman Sadeh, Florian Schaub, Manya Sleeper, 2017. Nudges for privacy and security: Understanding and assisting users’ choices online. ACM Computing Surveys (CSUR) 50, 3 (2017), 1–41.
[2]
Oscar Alvarado and Annika Waern. 2018. Towards algorithmic experience: Initial efforts for social media contexts. In Proceedings of the 2018 chi conference on human factors in computing systems. 1–12.
[3]
Motahhare Eslami, Karrie Karahalios, Christian Sandvig, Kristen Vaccaro, Aimee Rickman, Kevin Hamilton, and Alex Kirlik. 2016. First I” like” it, then I hide it: Folk Theories of Social Feeds. In Proceedings of the 2016 cHI conference on human factors in computing systems. 2371–2382.
[4]
Motahhare Eslami, Aimee Rickman, Kristen Vaccaro, Amirhossein Aleyasen, Andy Vuong, Karrie Karahalios, Kevin Hamilton, and Christian Sandvig. 2015. ” I always assumed that I wasn’t really that close to [her]” Reasoning about Invisible Algorithms in News Feeds. In Proceedings of the 33rd annual ACM conference on human factors in computing systems. 153–162.
[5]
John C Flanagan. 1954. The critical incident technique.Psychological bulletin 51, 4 (1954), 327.
[6]
B Geethanjali, K Adalarasu, A Hemapraba, S Pravin Kumar, and R Rajasekeran. 2017. Emotion analysis using SAM (Self-Assessment Manikin) scale.Biomedical Research (0970-938X) 28 (2017).
[7]
Joseph Henrich, Steven J Heine, and Ara Norenzayan. 2010. The weirdest people in the world?Behavioral and brain sciences 33, 2-3 (2010), 61–83.
[8]
Silas Hsu, Kristen Vaccaro, Yin Yue, Aimee Rickman, and Karrie Karahalios. 2020. Awareness, Navigation, and Use of Feed Control Settings Online. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1–13.
[9]
Yabing Liu, Krishna P Gummadi, Balachander Krishnamurthy, and Alan Mislove. 2011. Analyzing facebook privacy settings: user expectations vs. reality. In Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference. 61–70.
[10]
Digital Marketing Statistics & Metrics. 2018. Social Media Users in Egypt: Facebook Insights and Usage in Egypt, 2018. Article. Retrieved December 12, 2019 from https://www.digitalmarketingcommunity.com/indicators/facebook-insights-usage-in-egypt-2018/, .
[11]
Pawarat Nontasil and Stephen J Payne. 2019. Emotional Utility and Recall of the Facebook News Feed. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1–9.
[12]
Shruti Phadke and Tanushree Mitra. 2020. Many Faced Hate: A Cross Platform Study of Content Framing and Information Sharing by Online Hate Groups. Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376456
[13]
Osnat Roth-Cohen. 2021. Viral feminism: #MeToo networked expressions in feminist Facebook groups. Feminist Media Studies(2021), 1–17.
[14]
John Sadauskas, Daragh Byrne, and Robert K. Atkinson. 2015. Mining Memories: Designing a Platform to Support Social Media Based Writing. Association for Computing Machinery, New York, NY, USA, 3691–3700. https://doi.org/10.1145/2702123.2702383
[15]
Statista. 2019. Number of internet users in Egypt from 2013 to 2019 (in millions). Article. Retrieved December 12, 2019 from https://www.statista.com/statistics/462957/internet-users-egypt/, .
[16]
Diana I Tamir and Jason P Mitchell. 2012. Disclosing information about the self is intrinsically rewarding. Proceedings of the National Academy of Sciences 109, 21(2012), 8038–8043.
[17]
H. Tankovska. 2008. Social media - Statistics and Facts. https://www.statista.com/topics/1164/social-networks/. [Last accessed: 2021-07-15].
[18]
Jeffrey Warshaw, Tara Matthews, Steve Whittaker, Chris Kau, Mateo Bengualid, and Barton A. Smith. 2015. Can an Algorithm Know the ”Real You”? Understanding People’s Reactions to Hyper-Personal Analytics Systems. Association for Computing Machinery, New York, NY, USA, 797–806. https://doi.org/10.1145/2702123.2702274
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April 2022
3066 pages
ISBN:9781450391566
DOI:10.1145/3491101
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Published: 28 April 2022
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