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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