Saad Khan's Publications

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Modeling the interaction between mixed teams of humans and robots and local population for a market patrol task

S.A. Khan, T.S. Bhatia, S. Parker, and L. Bölöni. Modeling the interaction between mixed teams of humans and robots and local population for a market patrol task. In Proc. of 25th Int'l Conf. of Florida Artificial Intelligence Research Society (FLAIRS-25), pp. 50–55, 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 values. 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{SKhan-2012-FLAIRS,
  title={Modeling the interaction between mixed teams of humans and robots and local population 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 Int'l Conf. of Florida Artificial Intelligence Research Society (FLAIRS-25)},
  pages={50--55},
  year={2012},
  organization={AAAI Press}
  bib2html_dl_pdf = {
  http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS12/paper/viewFile/4450/4765},
  bib2html_pubtype = {Refereed Conference},
  bib2html_rescat = {Autonomous Agents},
   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 values. 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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