L. Bölöni and D. Turgut

Sensor cooperation in human environments through motivational gradients


Cite as:

L. Bölöni and D. Turgut. Sensor cooperation in human environments through motivational gradients. In 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC-2008), pp. 2938–2943, October 2008.

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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.

BibTeX:

@inproceedings{Boloni-2008-IEEESMC,
author = "L. B{\"o}l{\"o}ni and D. Turgut",
title = "Sensor cooperation in human environments through motivational gradients",
booktitle = "2008 IEEE International Conference on Systems, Man and Cybernetics (SMC-2008)",
location = "Singapore",
year = "2008",
month = "October",
pages = "2938-2943",
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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