Stochastic similarity for validating human control strategy models

Michael Nechyba and Yangsheng Xu
IEEE Trans. on Robotics and Automation, Vol. 14, No. 3, June, 1998, pp. 437-451.


Download
  • Adobe portable document format (pdf) (835KB)
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract
Modeling dynamic human control strategy (HCS), or human skill in response to real-time sensing is becoming an increasingly popular paradigm in many different research areas. We propose a stochastic similarity measure, based on hidden Markov model analysis, capable of comparing and contrasting stochastic, dynamic, multidimensional trajectories. We first derive and demonstrate properties of the similarity measure for stochastic systems. We then apply the similarity measure to real-time human driving data by comparing different control strategies among different individuals. We show that the proposed similarity measure out performs the more traditional Bayes classifier in correctly grouping driving data from the same individual. Finally, we illustrate how the similarity measure can be used in the validation of models which are learned from experimental data, and how we can connect model validation and model learning to iteratively improve our models of HCS.

Notes
Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Number of pages: 14

Text Reference
Michael Nechyba and Yangsheng Xu, "Stochastic similarity for validating human control strategy models," IEEE Trans. on Robotics and Automation, Vol. 14, No. 3, June, 1998, pp. 437-451.

BibTeX Reference
@article{Nechyba_1998_504,
   author = "Michael Nechyba and Yangsheng Xu",
   title = "Stochastic similarity for validating human control strategy models",
   journal = "IEEE Trans. on Robotics and Automation",
   pages = "437-451",
   month = "June",
   year = "1998",
   volume = "14",
   number = "3",
}