Employing Queuing and Modeling in Intelligent Multimedia User Interfaces

Abstract

This article investigates the application of queuing modeling in intelligent multimedia user interfaces (IMUIs). We propose that queuing modeling constitutes an effective means for providing at runtime, assessment information concerning user-computer interaction (UCI) and can thus contribute to runtime adaptation. We present specific queuing systems that model the load posed to the user's sensory channels in IMUIs under different assumptions, and indicative (media-and-modalities allocation) adaptation policies that build on this modeling are exemplified. This article also outlines the implementation of an assessment software module that uses the proposed queuing modeling framework and its subsequent integration into an existing IMUI (in which it is used for the assignment of information to output modalities); both activities were undertaken to practically demonstrate that queuing modeling can be effectively used in IMUIs.