Rights statement: The final publication is available at link.springer.com
Accepted author manuscript, 77.1 KB, PDF document
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Teaching context to applications
AU - Van Laerhoven, Kristof
AU - Aidoo, Kofi
N1 - The final publication is available at link.springer.com
PY - 2001/2
Y1 - 2001/2
N2 - Although mobile devices keep getting smaller and more powerful, their interface with the user is still based on that of the regular desktop computer. This implies that interaction is usually tedious, while interrupting the user is not really desired in ubiquitous computing. We propose adding an array of hardware sensors to the system that, together with machine learning techniques, make the device aware of its context while it is being used. The goal is to make it learn the context-descriptions from its user on the spot, while minimising user-interaction and maximising reliability.
AB - Although mobile devices keep getting smaller and more powerful, their interface with the user is still based on that of the regular desktop computer. This implies that interaction is usually tedious, while interrupting the user is not really desired in ubiquitous computing. We propose adding an array of hardware sensors to the system that, together with machine learning techniques, make the device aware of its context while it is being used. The goal is to make it learn the context-descriptions from its user on the spot, while minimising user-interaction and maximising reliability.
KW - Adaptive interfaces
KW - Context awareness
KW - Human-computer interaction
KW - Kohonen self-organising map
KW - On-line adaptive clustering
KW - Sensor data fusion
U2 - 10.1007/s007790170029
DO - 10.1007/s007790170029
M3 - Journal article
VL - 5
SP - 46
EP - 49
JO - Personal and Ubiquitous Computing
JF - Personal and Ubiquitous Computing
SN - 1617-4909
IS - 1
ER -