S. A. Khan, T.S. Bhatia, S. Parker, and L. Bölöni

Modeling human-robot interaction for a market patrol task


Cite as:

S. A. Khan, T.S. Bhatia, S. Parker, and L. Bölöni. Modeling human-robot interaction for a market patrol task. In Proc. of 25th International FLAIRS Conference, pp. 50–55, May 2012.

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Abstract:

We consider a cross-cultural interaction scenario where a group of soldiers assisted by robots interact with local vendors in a market place. We develop a model to quantify, analyze and predict the perception of the actions of the soldiers and the robot by the local population. The model assumes that humans are considering collections of concrete and intangible values which are not, in general, directly and linearly convertible into each other. We argue that satisfactory modeling accuracy can be achieved by restricting the considered intangibles to a small set of culture sanctioned social metrics. For these values, the culture provides a name, calculation methods, as well as associated rules of conduct. We validate our model by comparing the predicted values with the judgment of a large group of human observers cognizant of the modeled culture. We use the model to evaluate the tradeoffs between several long term strategies to maintain security as well as to increase the trust and goodwill of the local population.

BibTeX:

@inproceedings{SAKhan-2012-FLAIRS,
title = "Modeling human-robot interaction for a market patrol task",
author = "S. A. Khan and T.S. Bhatia and S. Parker and L. B{\"o}l{\"o}ni",
booktitle = "Proc. of 25th International FLAIRS Conference",
location = "Marco Island, FL",
month = "May",
year = "2012",
pages = "50-55",
abstract = {
  We consider a cross-cultural interaction scenario where a group of
  soldiers assisted by robots interact with local vendors in a market
  place. We develop a model to quantify, analyze and predict the
  perception of the actions of the soldiers and the robot by the local
  population. The model assumes that humans are considering collections
  of concrete and intangible values which are not, in general, directly
  and linearly convertible into each other. We argue that satisfactory
  modeling accuracy can be achieved by restricting the considered
  intangibles to a small set of culture sanctioned social metrics. For
  these values, the culture provides a name, calculation methods, as
  well as associated rules of conduct. We validate our model by
  comparing the predicted values with the judgment of a large group of
  human observers cognizant of the modeled culture. We use the model to
  evaluate the tradeoffs between several long term strategies to
  maintain security as well as to increase the trust and goodwill of
  the local population.
 }
}

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