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Cited by 527

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Sensing techniques for mobile interaction

Open access
Hinckley, Ken, Pierce, Jeff, Sinclair, Mike, Horvitz, Eric·2000·Proceedings of the 13th annual ACM symposium on User interface software and technology - UIST '00

Abstract

We describe sensing techniques motivated by unique aspects of human-computer interaction with handheld devices in mobile settings.Special features of mobile interaction include changing orientation and position, changing venues, the use of computing as auxiliary to ongoing, real-world activities like talking to a colleague, and the general intimacy of use for such devices.We introduce and integrate a set of sensors into a handheld device, and demonstrate several new functionalities engendered by the sensors, such as recording memos when the device is held like a cell phone, switching between portrait and landscape display modes by holding the device in the desired orientation, automatically powering up the device when the user picks it up the device to start using it, and scrolling the display using tilt.We present an informal experiment, initial usability testing results, and user reactions to these techniques.

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Metadata

Authors
Hinckley, K., Pierce, J., Sinclair, M., & Horvitz, E.
Venue
Proceedings of the 13th annual ACM symposium on User interface software and technology - UIST '00
Publisher
ACM Press
Published
2000
Pages
91-100
OpenAlex
W2169732913
Cited by
527
References
1
FWCI
14.25
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Sensing techniques for mobile interaction. https://app.cochat.ai/papers/10.1145/354401.354417
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Hinckley, K., Pierce, J., Sinclair, M., & Horvitz, E. (2000). Sensing techniques for mobile interaction. Proceedings of the 13th annual ACM symposium on User interface software and technology - UIST '00. https://doi.org/10.1145/354401.354417

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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.