Human-Behaviour Study with Situation Lattices

Juan Ye; Simon Dobson

doi:10.1109/ICSMC.2009.5346228

Human-Behaviour Study with Situation Lattices

Juan Ye, Simon Dobson

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Most research in the area of smart environments focuses on improving the accuracy with which human activities can be recognised. Relatively little research has been done into how designers can gain insights into the behaviours their systems are observing, and feed these insights back into improving systems design. We describe a mathematical structure, the situation lattice, and show how it can be used to discover knowledge about activities and the way in which they can be sensed. We show how this knowledge can be used to improve activity recognition, using the example of a real-world smart home data set.

Original language	English
Title of host publication	IEEE International Conference on Systems, Man and Cybernetics, 2009
Publisher	IEEE
Pages	343-348
Number of pages	6
ISBN (Electronic)	978-1-4244-2794-9
ISBN (Print)	978-1-4244-2793-2
DOIs	https://doi.org/10.1109/ICSMC.2009.5346228
Publication status	Published - 2009

Keywords

Smart home
Human Behaviour
Knowledge Discovery

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10.1109/ICSMC.2009.5346228

Cite this

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title = "Human-Behaviour Study with Situation Lattices",

abstract = "Most research in the area of smart environments focuses on improving the accuracy with which human activities can be recognised. Relatively little research has been done into how designers can gain insights into the behaviours their systems are observing, and feed these insights back into improving systems design. We describe a mathematical structure, the situation lattice, and show how it can be used to discover knowledge about activities and the way in which they can be sensed. We show how this knowledge can be used to improve activity recognition, using the example of a real-world smart home data set.",

keywords = "Smart home, Human Behaviour, Knowledge Discovery",

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AU - Dobson, Simon

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AB - Most research in the area of smart environments focuses on improving the accuracy with which human activities can be recognised. Relatively little research has been done into how designers can gain insights into the behaviours their systems are observing, and feed these insights back into improving systems design. We describe a mathematical structure, the situation lattice, and show how it can be used to discover knowledge about activities and the way in which they can be sensed. We show how this knowledge can be used to improve activity recognition, using the example of a real-world smart home data set.

KW - Smart home

KW - Human Behaviour

KW - Knowledge Discovery

U2 - 10.1109/ICSMC.2009.5346228

DO - 10.1109/ICSMC.2009.5346228

M3 - Conference contribution

SN - 978-1-4244-2793-2

SP - 343

EP - 348

BT - IEEE International Conference on Systems, Man and Cybernetics, 2009

PB - IEEE

ER -

Human-Behaviour Study with Situation Lattices

Abstract

Keywords

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