The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Instrumental interaction: an interaction model for designing post-WIMP user interfaces
Open accessAbstract
This article introduces a new interaction model called Instrumental Interaction that extends and generalizes the principles of direct manipulation. It covers existing interaction styles, including traditional WIMP interfaces, as well as new interaction styles such as two-handed input and augmented reality. It defines a design space for new interaction techniques and a set of properties for comparing them. Instrumental Interaction describes graphical user interfaces in terms of domain objects and interaction instruments. Interaction between users and domain objects is mediated by interaction instruments, similar to the tools and instruments we use in the real world to interact with physical objects. The article presents the model, applies it to describe and compare a number of interaction techniques, and shows how it was used to create a new interface for searching and replacing text.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Direct Manipulation: A Step Beyond Programming Languages
Shneiderman (1983) · Computer · doi:10.1109/mc.1983.1654471 · Cited by 1,939
The human factors of computer graphics interaction techniques
Foley, J. D., Wallace, V. L., & Chan, P. (1984) · IEEE Computer Graphics and Applications · doi:10.1109/mcg.1984.6429355 · Cited by 478
A morphological analysis of the design space of input devices
Card, S. K., Mackinlay, J. D., & Robertson, G. G. (1991) · ACM Transactions on Information Systems · doi:10.1145/123078.128726 · Cited by 337 · cited 1×
“Device-level models such as logical input devices [11] or Card et al.'s taxonomy [7] operate at a lower level of abstraction than interaction models.”
Cited by
Getting a grip on tangible interaction: a framework on physical space and social interaction
Hornecker, E., & Buur, J. (2006) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1124772.1124838 · Cited by 1,100
Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic Content
Lundgard, A., & Satyanarayan, A. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3114770 · Cited by 155
Reification, polymorphism and reuse: three principles for designing visual interfaces
Beaudouin-Lafon, M., & Mackay, W. E. (2000) · Proceedings of the working conference on Advanced visual interfaces · doi:10.1145/345513.345267 · Cited by 145
Self-citationBailly, G., Lecolinet, E., & Nigay, L. (2017) · ACM Computing Surveys · doi:10.1145/3002171 · Cited by 139
Extending the Body for Interaction with Reality
Feuchtner, T., & Müller, J. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025689 · Cited by 85
Generative Theories of Interaction
Beaudouin-Lafon, M., Bødker, S., & Mackay, W. E. (2021) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3468505 · Cited by 75
Self-citationKim, T. S., Lee, Y., Chang, M., & Kim, J. (2023) · Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology · doi:10.1145/3586183.3606833 · Cited by 56
Filtering and informing the design space: Towards design-space thinking
Halskov, K., & Lundqvist, C. (2021) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3434462 · Cited by 38
Poetry in motion: appropriation of the world of apps
Bødker, S., & Christiansen, E. (2012) · Proceedings of the 30th European Conference on Cognitive Ergonomics · doi:10.1145/2448136.2448152 · Cited by 35
Memolet: Reifying the Reuse of User-AI Conversational Memories
Yen, R., & Zhao, J. (2024) · Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology · doi:10.1145/3654777.3676388 · Cited by 22
(2007) · doi:10.1007/3-540-34874-3_10 · Cited by 7
Metadata
- Authors
- Beaudouin-Lafon, M.
- Venue
- Proceedings of the SIGCHI conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2000-04
- Pages
- 446-453
- OpenAlex
- W2133353349
- Cited by
- 614
- References
- 3
- FWCI
- 12.36
- Type
- conference paper
- Language
- en
- Open access
- bronze
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
