Computational model of implicit interaction for entertainment

Implicit interaction between human and computer is worthy of being researched, especially in the entertainment application. The reason is that in order to be more natural, computers need to interact and collaborate with persons actively. For this purpos e, a computational model of implicit interaction is proposed and applied to a computer for entertainment. Firstly, emotional Hidden Markov Model (eHMM) as a part of the computational model of implicit interaction is researched. Then, three parts of ACT-R cognitive architecture are integrated into it to apply for entertainment. Finally, some experiments are carrie d out with styles of game process recording. Results indicate that the proposed model is helpful to make computers more active and adaptive to persons by adjustting entertainment process, which illustrates a good prospect of application.

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