A Fuzzy Driven Framework for the Cognitive Modeling and Quantitative Analysis of Aggregated Avatars

In this paper, our goal is to motivate the structured design and quantitative analysis of a class of avatars which we refer to as (fuzzy) aggregated avatars. Following a brief overview of the different avatar types based on the literature, we formulate a newly proposed definition of aggregated avatars, and also extend this concept with the more specialized class of fuzzy aggregated avatars. Further, we propose a framework to facilitate the design and experimental analysis of fuzzy aggregated avatars, and describe a use-case example in which user interaction patterns within a 3D virtual reality space are mapped onto dynamic avatar behaviors.