The AMPERE Algorithm–Area-Based Masking with the Performance Equation

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This paper is concerned with the employment of an autonomous and intelligent agent within the context of a 3-dimensional virtual environment. As the agent is immersed within the virtual environment, it empowers the 3D world with mechanisms to adjust itself to the specific needs of its user. Therefore, the agent serves as a middle layer between user and the environment. The 3-dimensional environment thus evolved into an intelligent user interface. We track user’s motion within this environment and present an equation upon which the agent classifies the user’s performance. Based upon this performance value, the agent autonomously determines if the user would benefit form system navigational support. The performance equation is based on an area-based mask that is applied on the trajectory image of the user’s movements. Within this paper we discuss the effects of applying different masks onto the trajectory image. We evaluate, why the actual shape of the mask is not as crucial to the performance measure as one might anticipate.