How to Remember What to Remember: Exploring Possibilities for Digital Reminder Systems
Abstract
Digital reminder systems typically use time and place as triggers to remind people to perform activities. In this paper, we investigate how digital reminder systems could better support the process of remembering in a wider range of situations. We report findings from a survey and one-week diary study, which reveal that people want to remember to perform a broad spectrum of activities in the future, many of which cannot be supported by simple time- and location-based reminders. In addition to these examples of prospective memory, or ‘remembering intentions’ [53], we also find that people want support in ‘retrieving’ [53] information and details, especially those encountered through social interactions or intended for use in conversations with others. Drawing on our analysis of what people want to remember and how they try to support this, we draw implications for the design of intelligent reminder systems such as digital assistants (e.g. Microsoft’s Cortana) and smart speaker systems (e.g. Amazon Echo), and highlight the possibilities afforded by drawing on conversation and giving material form to digital reminders.
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Algorithmically triggered autobiographical remembering can be a welcome opportunity for reminiscing about one's recent past and is already used by several social media platforms in combination with algorithmic curation.
“Although algorithmically triggered autobiographical remembering can be a welcome opportunity for reminiscing about one's recent past and is-as mentioned above-already used by several social media platforms in combination with algorithmic curation (Jacobsen, 2020; see also Brewer et al., 2017), it is also faced with several challenges.”
From Understanding Autobiographical Memory in the Digital Age: The AMEDIA-Model (2024) · cites this paper as Brewer et al., 2017
Cites
Using thematic analysis in psychology
Braun, V., & Clarke, V. (2006) · Qualitative Research in Psychology · doi:10.1191/1478088706qp063oa · Cited by 194,414 · see citing works
External and internal memory aids: When and how often do we use them?
Intons-Peterson, M. J., & Fournier, J. (1986) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.115.3.267 · Cited by 168 · see citing works
Prospective memory: When reminders fail
Guynn, M. J., Mcdaniel, M. A., & Einstein, G. O. (1998) · Memory & Cognition · doi:10.3758/bf03201140 · Cited by 168 · see citing works
Strategic offloading of delayed intentions into the external environment
Gilbert, S. J. (2015) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2014.972963 · Cited by 164 · see citing works
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Use of Intelligent Voice Assistants by Older Adults with Low Technology Use
Pradhan, A., Lazar, A., & Findlater, L. (2020) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3373759 · Cited by 285 · see citing works
Understanding Autobiographical Memory in the Digital Age: The AMEDIA-Model
Hutmacher, F., Appel, M., & Schwan, S. (2024) · Psychological Inquiry · doi:10.1080/1047840x.2024.2384125 · Cited by 12 · see citing works
- Authors
- Brewer, R. N., Morris, M. R., & Lindley, S. E.
- Affiliations
- Northwestern University (US)
- Microsoft (United States) (US)
- Venue
- Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
- Published
- 2017-09-11
- Volume
- 1
- Issue
- 3
- Pages
- 1-20
- ISSN
- 2474-9567 (ISSN-L)
- OpenAlex
- W2740697003
- Cited by
- 37
- References
- 4
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 3 · 2023: 9 · 2022: 1 · 2021: 7 · 2020: 6 · 2019: 6 · 2018: 2
- FWCI
- 6.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- prospective memory, information retrieval, conversation, virtual assistants, smart speakers, user needs, social interaction
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