We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
This paper presents an approach to learning an optimal behavioral parameterization in the framework of a Case-Based Reasoning methodology for autonomous navigation tasks. It is ba...
Recent years have seen increasing interest in narrative-centered learning environments. However, the same qualities that make them engaging can also introduce seductive details tha...
Jonathan P. Rowe, Scott W. McQuiggan, Jennifer L. ...
— We present a new behavior selection system for human-robot interaction that maps virtual buttons overlaid on the physical environment to the robot’s behaviors, thereby creati...
Hai Nguyen, Advait Jain, Cressel D. Anderson, Char...
While the collection of behavioral protocols has been common practice in human-computer interaction research for many years, the analysis of large protocol data sets is often extr...
Walter C. Mankowski, Peter Bogunovich, Ali Shokouf...