Reflective design
Abstract
As computing moves into every aspect of our daily lives, the values and assumptions that underlie our technical practices may unwittingly be propagated throughout our culture. Drawing on existing critical approaches in computing, we argue that reflection on unconscious values embedded in computing and the practices that it supports can and should be a core principle of technology design. Building on a growing body of work in critical computing, reflective design combines analysis of the ways in which technologies reflect and perpetuate unconscious cultural assumptions, with design, building, and evaluation of new computing devices that reflect alternative possibilities. We illustrate this approach through two design case studies.
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There is a counter-tradition in HCI that treats friction as a resource rather than a defect.
“These observations connect to a counter-tradition in HCI that treats friction as a resource rather than a defect, from reflective design (Sengers et al. 2005) to slow technology (Hallnäs and Redström 2001) and seamful design (Chalmers 2003;Inman and Ribes 2019;Ehsan et al. 2024).”
From From Oracles to Productive Friction: Designing for Meaningful Human Oversight in Clinical AI (2026) · cites this paper as Sengers et al. 2005
Cites
Picard, R. W. (1997) · MIT Press · doi:10.7551/mitpress/1140.001.0001 · Cited by 7,382 · see citing works
Ambiguity as a resource for design
Gaver, W. W., Beaver, J., & Benford, S. (2003) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/642611.642653 · Cited by 1,348 · cited 1× · see citing works
“…can be accomplished a variety of ways: actively setting out to make the familiar strange [3], introducing and encouraging ambiguity as a resource and not as a factor to be eliminated [19], and building open-ended systems where the reflection itself is an irreducible part of the final experience 2.”
BackgroundFriedman, B. (1996) · Interactions · doi:10.1145/242485.242493 · Cited by 966 · see citing works
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Self-citationGreene, D., Hoffmann, A. L., & Stark, L. (2019) · Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.24251/hicss.2019.258 · Cited by 386 · see citing works
Reviewing reflection: on the use of reflection in interactive system design
Baumer, E. P. S., Khovanskaya, V., Matthews, M., Reynolds, L., Schwanda Sosik, V., & Gay, G. (2014) · Proceedings of the 2014 conference on Designing interactive systems · doi:10.1145/2598510.2598598 · Cited by 266 · see citing works
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Sakaguchi-Tang, D. K., Cunningham, J. L., Roldan, W., Yip, J., & Kientz, J. A. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3479506 · Cited by 74 · see citing works
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Barry, M., Doherty, K., Marcano Belisario, J., Car, J., Morrison, C., & Doherty, G. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025918 · Cited by 57 · see citing works
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Lee, W.-Y., & Jung, M. (2020) · Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction · doi:10.1145/3371382.3377429 · Cited by 23 · see citing works
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Kang, L., & Jackson, S. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3449156 · Cited by 14 · see citing works
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Ford, C., & Bryan-Kinns, N. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581077 · Cited by 15 · see citing works
Searching for the Non-Consequential: Dialectical Activities in HCI and the Limits of Computers
Zhang, H. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3641945 · Cited by 12 · see citing works
Qadri, R., Mirowski, P., & Denton, R. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714049 · Cited by 12 · see citing works
“Since we are interested in future possibilities of appro-priation, we turn to HCI methods for inquiring about alternative ways of developing, conceptualizing and reconsidering what is possible and what could be possible through our technologies [8, 38, 64, 88, 96, 120].”
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Moreau, E., Vogel, C., & Barry, M. (2019) · Intelligent Systems Reference Library · doi:10.1007/978-3-030-15939-9_8 · Cited by 10 · see citing works
Cao, H. J., Choi, K., Park, C., & Lee, H. R. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713173 · Cited by 9 · see citing works
Raees, M., Khan, V.-J., Lykourentzou, I., & Papangelis, K. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791467 · Cited by 5 · see citing works
From Oracles to Productive Friction: Designing for Meaningful Human Oversight in Clinical AI
Rubegni, E., Natali, C., Valsecchi, C., Rizzo, S., Ayoub, O., & Facchini, A. (2026) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society · doi:10.1609/aies.v9i3.43300
- Authors
- Sengers, P., Boehner, K., David, S., & Kaye, J. '.
- Affiliations
- Culturally Embedded Computing Group, Ithaca, NY
- Venue
- Proceedings of the 4th decennial conference on Critical computing: between sense and sensibility
- Publisher
- ACM
- Published
- 2005-08-20
- Pages
- 49-58
- Cited by
- 747
- References
- 3
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