The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Implementing a sentient computing system
Abstract
Sentient computing systems, which can change their behaviour based on a model of the environment they construct using sensor data, may hold the key to managing tomorrow's device-rich mobile networks. At AT&T Laboratories Cambridge, we have built a system that uses sensors to update a model of the real world. We designed the model's terms (object positions, descriptions and state, and so forth) to be immediately familiar to users. Thus, the model describes the world much as users themselves would. We can use this model to write programs that react to changes in the environment according to the user's preferences. We call this sentient computing because the applications appear to share the user's perception of the environment. Treating the current state of the environment as common ground between computers and users provides new ways of interacting with information systems. A sentient computing system doesn't need to be intelligent or capable of forming new concepts about the world, it only needs to act as though its perceptions duplicate the user's. In earlier work, we described a prototype of this system and stated our intention to deploy it on a large scale. We have now installed an enhanced version throughout an office building. Over the past year, approximately 50 staff members have used the system daily with a set of trial applications.
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Cites
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Self-citationThe Cricket location-support system
Priyantha, N. B., Chakraborty, A., & Balakrishnan, H. (2000) · Proceedings of the 6th annual international conference on Mobile computing and networking · doi:10.1145/345910.345917 · Cited by 3,716
The anatomy of a context-aware application
Harter, A., Hopper, A., Steggles, P., Ward, A., & Webster, P. (1999) · Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking · doi:10.1145/313451.313476 · Cited by 1,107
Self-citationRichardson, T., Stafford-Fraser, Q., Wood, K. R., & Hopper, A. (1998) · IEEE Internet Computing · doi:10.1109/4236.656066 · Cited by 1,076
Self-citationMcNeff, J. G. (2002) · IEEE Transactions on Microwave Theory and Techniques · doi:10.1109/22.989949 · Cited by 508
Enhancements to the RADAR User Location and Tracking System
Bahl, V., & Padmanabhan, V. (2000) · Cited by 507
A distributed location system for the active office
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Self-citationLifestreams: an alternative to the desktop metaphor
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Code/Space: Software and Everyday Life
Kitchin, R., & Dodge, M. (2011) · doi:10.7551/mitpress/9780262042482.001.0001 · Cited by 964
Location Fingerprinting with Bluetooth Low Energy Beacons
Faragher, R., & Harle, R. (2015) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2015.2430281 · Cited by 879
Pedestrian localisation for indoor environments
Woodman, O., & Harle, R. (2008) · Proceedings of the 10th international conference on Ubiquitous computing · doi:10.1145/1409635.1409651 · Cited by 486
Simultaneous Tracking and Activity Recognition (STAR) Using Many Anonymous, Binary Sensors
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Metadata
- Authors
- Addlesee, M., Curwen, R., Hodges, S., Newman, J., Steggles, P., Ward, A., & Hopper, A.
- Venue
- Computer
- Published
- 2001
- Volume
- 34
- Issue
- 8
- Pages
- 50-56
- ISSN
- 0018-9162 (ISSN-L)
- OpenAlex
- W2128587884
- Cited by
- 490
- References
- 8
- FWCI
- 47.02
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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