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Cited by 405

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Making sense of sensing systems: five questions for designers and researchers

Bellotti, Victoria, Back, Maribeth, Edwards, W. Keith, Grinter, Rebecca E., Henderson, Austin, Lopes, Cristina·2002·Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Abstract

This paper borrows ideas from social science to inform the design of novel "sensing" user-interfaces for computing technology. Specifically, we present five design challenges inspired by analysis of human-human communication that are mundanely addressed by traditional graphical user interface designs (GUIs). Although classic GUI conventions allow us to finesse these questions, recent research into innovative interaction techniques such as 'Ubiquitous Computing' and 'Tangible Interfaces' has begun to expose the interaction challenges and problems they pose. By making them explicit we open a discourse on how an approach similar to that used by social scientists in studying human-human interaction might inform the design of novel interaction mechanisms that can be used to handle human-computer communication accomplishments

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Metadata

Authors
Bellotti, V., Back, M., Edwards, W. K., Grinter, R. E., Henderson, A., & Lopes, C.
Venue
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2002-04-20
Pages
415-422
OpenAlex
W2134332471
Cited by
405
References
27
FWCI
14.73
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Making sense of sensing systems: five questions for designers and researchers. https://app.cochat.ai/papers/10.1145/503376.503450
The paper
Bellotti, V., Back, M., Edwards, W. K., Grinter, R. E., Henderson, A., & Lopes, C. (2002). Making sense of sensing systems: five questions for designers and researchers. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/503376.503450

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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.