Technology probes: inspiring design for and with families
Abstract
We describe a new method for use in the process of co-designing technologies with users called technology probes. Technology probes are simple, flexible, adaptable technologies with three interdisciplinary goals: the social science goal of understanding the needs and desires of users in a real-world setting, the engineering goal of field-testing the technology, and the design goal of inspiring users and researchers to think about new technologies. We present the results of designing and deploying two technology probes, the messageProbe and the videoProbe, with diverse families in France, Sweden, and the U.S. We conclude with our plans for creating new technologies for and with families based on our experiences.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A design-probe approach lets researchers observe how interface choices, not only model accuracy, shape collaborative performance and user agency.
“This design-probe approach, having each participant evaluate and comment on contrasting interaction paradigms instead of a single model, lets us observe how interface choices, not only model accuracy, shape collaborative performance and user agency (Hutchinson et al. 2003).”
From From Oracles to Productive Friction: Designing for Meaningful Human Oversight in Clinical AI (2026) · cites this paper as Hutchinson et al. 2003
Cites
The role of children in the design of new technology
(2002) · Behaviour & Information Technology · doi:10.1080/01449290110108659 · Cited by 1,071 · cited 1× · see citing works
“Their suggestions are likely to relate to details about the user interface and will not be fundamental contributions to the technological design [4].”
Background
Flagged first, then by citations
Cited by
Sorted by citations
Staying open to interpretation
Sengers, P., & Gaver, B. (2006) · Proceedings of the 6th conference on Designing Interactive systems · doi:10.1145/1142405.1142422 · Cited by 592 · see citing works
An Age-Old Problem: Examining the Discourses of Ageing in HCI and Strategies for Future Research
Vines, J., Pritchard, G., Wright, P., Olivier, P., & Brittain, K. (2015) · ACM Transactions on Computer-Human Interaction · doi:10.1145/2696867 · Cited by 461 · see citing works
The drift table: designing for ludic engagement
Gaver, W. W., Bowers, J., Boucher, A., Gellerson, H., Pennington, S., Schmidt, A., Steed, A., Villars, N., & Walker, B. (2004) · CHI '04 Extended Abstracts on Human Factors in Computing Systems · doi:10.1145/985921.985947 · Cited by 439 · see citing works
MAHI: investigation of social scaffolding for reflective thinking in diabetes management
Mamykina, L., Mynatt, E., Davidson, P., & Greenblatt, D. (2008) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1357054.1357131 · Cited by 355 · see citing works
Research Through Design in HCI
Zimmerman, J., & Forlizzi, J. (2014) · Ways of Knowing in HCI · doi:10.1007/978-1-4939-0378-8_8 · Cited by 348 · see citing works
Family story play: reading with young children (and elmo) over a distance
Raffle, H., Ballagas, R., Revelle, G., Horii, H., Follmer, S., Go, J., Reardon, E., Mori, K., Kaye, J., & Spasojevic, M. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753563 · Cited by 199 · see citing works
Investigating health management practices of individuals with diabetes
Mamykina, L., Mynatt, E. D., & Kaufman, D. R. (2006) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1124772.1124910 · Cited by 175 · see citing works
MapSense: Multi-Sensory Interactive Maps for Children Living with Visual Impairments
Brule, E., Bailly, G., Brock, A., Valentin, F., Denis, G., & Jouffrais, C. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858375 · Cited by 122 · see citing works
Hello, is grandma there? let's read! StoryVisit: family video chat and connected e-books
Raffle, H., Revelle, G., Mori, K., Ballagas, R., Buza, K., Horii, H., Kaye, J., Cook, K., Freed, N., Go, J., et al. (2011) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1979121 · Cited by 112 · see citing works
Exiting the Cleanroom: On Ecological Validity and Ubiquitous Computing
Carter, S., Mankoff, J., Klemmer, S. R., & Matthews, T. (2008) · Human–Computer Interaction · doi:10.1080/07370020701851086 · Cited by 107 · see citing works
Harrington, C. N., Wilcox, L., Connelly, K., Rogers, W., & Sanford, J. (2018) · Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare · doi:10.1145/3240925.3240929 · Cited by 102 · see citing works
Zubatiy, T., Vickers, K. L., Mathur, N., & Mynatt, E. D. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445124 · Cited by 105 · see citing works
ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia
Halfaker, A., & Geiger, R. S. (2020) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3415219 · Cited by 82 · see citing works
Wallbaum, T., Matviienko, A., Ananthanarayan, S., Olsson, T., Heuten, W., & Boll, S. C. J. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174124 · Cited by 78 · see citing works
Learning to assess the quality of stroke rehabilitation exercises
Lee, M. H., Siewiorek, D. P., Smailagic, A., Bernardino, A., & Badia, S. B. I. (2019) · Proceedings of the 24th International Conference on Intelligent User Interfaces · doi:10.1145/3301275.3302273 · Cited by 71 · see citing works
Why doesn't it work?: voice-driven interfaces and young children's communication repair strategies
Cheng, Y., Yen, K., Chen, Y., Chen, S., & Hiniker, A. (2018) · Proceedings of the 17th ACM Conference on Interaction Design and Children · doi:10.1145/3202185.3202749 · Cited by 69 · see citing works
Designing for action: an evaluation of social recipes in reducing food waste
Lim, V., Funk, M., Marcenaro, L., Regazzoni, C., & Rauterberg, M. (2017) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2016.12.005 · Cited by 69 · see citing works
McDonnell, E. J., Liu, P., Goodman, S. M., Kushalnagar, R., Froehlich, J. E., & Findlater, L. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3479578 · Cited by 54 · see citing works
Iversen, O. S., & Brodersen, C. (2008) · Cognition, Technology & Work · doi:10.1007/s10111-007-0064-1 · Cited by 55 · see citing works
Hoque, M. N., Mashiat, T., Ghai, B., Shelton, C. D., Chevalier, F., Kraus, K., & Elmqvist, N. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3641895 · Cited by 48 · see citing works
Someone to Read with: Design of and Experiences with an In-Home Learning Companion Robot for Reading
Michaelis, J. E., & Mutlu, B. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025499 · Cited by 47 · see citing works
Fiabot!: design and evaluation of a mobile storytelling application for schools
Rubegni, E., & Landoni, M. (2014) · Proceedings of the 2014 conference on Interaction design and children · doi:10.1145/2593968.2593979 · Cited by 42 · see citing works
Exploring the Use of Personalized AI for Identifying Misinformation on Social Media
Jahanbakhsh, F., Katsis, Y., Wang, D., Popa, L., & Muller, M. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581219 · Cited by 42 · see citing works
Informing the Design of Privacy-Empowering Tools for the Connected Home
Seymour, W., Kraemer, M. J., Binns, R., & Van Kleek, M. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376264 · Cited by 41 · see citing works
Beyond Text-to-Image: Multimodal Prompts to Explore Generative AI
Liu, V. (2023) · Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544549.3577043 · Cited by 38 · see citing works
Tahıroğlu, K., Magnusson, T., Parkinson, A., Garrelfs, I., & Tanaka, A. (2020) · Organised Sound · doi:10.1017/s1355771819000475 · Cited by 31 · see citing works
Ho, H.-R., Hubbard, E. M., & Mutlu, B. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642806 · Cited by 24 · see citing works
Cagiltay, B., Mutlu, B., & Kerr, M. L. (2023) · Proceedings of the 22nd Annual ACM Interaction Design and Children Conference · doi:10.1145/3585088.3589386 · Cited by 20 · see citing works
Private Yet Social: How LLM Chatbots Support and Challenge Eating Disorder Recovery
Choi, R., Kim, T., Park, S., Kim, J. G., & Lee, S.-J. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713485 · Cited by 19 · see citing works
Replay Enactments: Exploring Possible Futures through Historical Data
Holstein, K., Harpstead, E., Gulotta, R., & Forlizzi, J. (2020) · Proceedings of the 2020 ACM Designing Interactive Systems Conference · doi:10.1145/3357236.3395427 · Cited by 19 · see citing works
Desai, S., Hu, X., Lundy, M., & Chin, J. (2023) · International Conference on Human-Agent Interaction · doi:10.1145/3623809.3623827 · Cited by 13 · see citing works
Mahmood, A., Wang, J., & Huang, C.-M. (2026) · ACM Transactions on Accessible Computing · doi:10.1145/3796236 · Cited by 6 · 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
- Hutchinson, H., Mackay, W., Westerlund, B., Bederson, B. B., Druin, A., Plaisant, C., Beaudouin-Lafon, M., Conversy, S., Evans, H., Hansen, H., Roussel, N., & Eiderbäck, B.
- Affiliations
- University of Maryland, College Park (US)
- Institut national de recherche en sciences et technologies du numérique (FR)
- KTH Royal Institute of Technology (SE)
- HCIL, UMIACS, CS/University of Maryland, College Park, MD
- ORCID
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2003-04-05
- Pages
- 17-24
- OpenAlex
- W2150634379
- Cited by
- 1,471
- References
- 1
- Citations by year
- 2026: 87 · 2025: 131 · 2024: 87 · 2023: 66 · 2022: 77 · 2021: 58 · 2020: 86 · 2019: 72 · 2018: 81 · 2017: 55 · 2016: 65 · 2015: 57 · 2014: 61 · 2013: 52 · 2012: 59
- FWCI
- 28.94
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Social Sciences › Demography › Technology Use by Older Adults
- Keywords
- technology probe, co-design, user needs, field testing, family, user-centered design
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review