Perceptual Computing with Comparative Linguistic Expressions

摘要

A perceptual computer generates appropriate word recommendations, rankings and/or classifications for any given application context. During the preparation of the codebook, perceptions of individuals are obtained in the form of end-points of intervals, followed by the selection of words from the codebook at a later stage. Keeping in mind the fact that humans are hesitant while providing responses, the perceptual computing paradigm does not handle such hesitancy at any stage. To conquer this deficiency within the framework of perceptual computing, we propose the idea of perceptual computing with comparative linguistic expressions. Through this proposal, we engage the hesitancy faced by people at different stages of the perceptual computing framework. We also introduce two different types of hesitancies that can occur, depending on the types of elements.