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Cited by 2,304

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Research through design as a method for interaction design research in HCI

Open access
Zimmerman, John, Forlizzi, Jodi, Evenson, Shelley·2007·Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Abstract

For years the HCI community has struggled to integrate design in research and practice. While design has gained a strong foothold in practice, it has had much less impact on the HCI research community. In this paper we propose a new model for interaction design research within HCI. Following a research through design approach, designers produce novel integrations of HCI research in an attempt to make the right thing: a product that transforms the world from its current state to a preferred state. This model allows interaction designers to make research contributions based on their strength in addressing under-constrained problems. To formalize this model, we provide a set of four lenses for evaluating the research contribution and a set of three examples to illustrate the benefits of this type of research.

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Metadata

Authors
Zimmerman, J., Forlizzi, J., & Evenson, S.
Venue
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2007-04-29
Pages
493-502
OpenAlex
W2133443878
Cited by
2,304
References
23
FWCI
23.88
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Research through design as a method for interaction design research in HCI. https://app.cochat.ai/papers/10.1145/1240624.1240704
The paper
Zimmerman, J., Forlizzi, J., & Evenson, S. (2007). Research through design as a method for interaction design research in HCI. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/1240624.1240704

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.