L. Bölöni and D. Turgut. Sensor cooperation in human environments through motivational gradients. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC-2008), pp. 2938–2943, October 2008.
The urban environment of the early 21st century contains a large number of consumer devices under private and organizational ownership. Many of these devices contain sensors as well as communication capabilities. However, most of these sensors are only used for purposes internal to the device. By interconnecting these sensors we can obtain a network which can serve important societal goals. The technological challenges of interconnecting these sensors are relatively minor. The main problem is the human aspect: why would the owners of the sensors offer their readings up to public use? In fact, privacy considerations might advise the exact opposite. Such a network will not be accepted unless every participating device is motivated to do so. In this paper we describe an architecture which enables such a system by the formal model of motivational gradients. The original source of motivations are always humans; however, nodes acting as autonomous agents can negotiate motivational microgradients based on the original macrogradient introduced by humans. We evaluate the networking and computer human interaction aspects of the proposed architecture.
@inproceedings{Boloni-2008-SMC,
author = "L. B{\"o}l{\"o}ni and D. Turgut",
title = "Sensor cooperation in human environments through motivational gradients",
booktitle = "Proceedings of the IEEE International Conference on Systems,
Man and Cybernetics (SMC-2008)",
month = "October",
pages = "2938-2943",
year = "2008",
abstract = {
The urban environment of the early 21st century contains a large number of
consumer devices under private and organizational ownership. Many of these
devices contain sensors as well as communication capabilities. However,
most of these sensors are only used for purposes internal to the device.
By interconnecting these sensors we can obtain a network which can serve
important societal goals. The technological challenges of interconnecting
these sensors are relatively minor. The main problem is the human aspect:
why would the owners of the sensors offer their readings up to public use?
In fact, privacy considerations might advise the exact opposite. Such a
network will not be accepted unless every participating device is
motivated to do so. In this paper we describe an architecture which
enables such a system by the formal model of motivational gradients. The
original source of motivations are always humans; however, nodes acting as
autonomous agents can negotiate motivational microgradients based on the
original macrogradient introduced by humans. We evaluate the networking
and computer human interaction aspects of the proposed architecture.
},
}
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