Abstract
Queueing Modelling is proposed in the domain of Intelligent User Interfaces and, more generally, in the field of Human-Computer Interaction. It is argued that Queueing Modelling can facilitate assessment of the current state and prediction of the future behaviour of user-computer interaction. This assessment can be used as the basis for adaptations either at design-time or at run-time, and can benefit the development and evaluation of adaptable or adaptive user interfaces. In order to illustrate our approach, we present specific queueing systems which model the sensory load of the user in the context of Intelligent Multimedia User Interfaces. Indicative adaptation policies that build on this analysis are also exemplified.
Highlights
Introduction and BackgroundThe proliferation of computer-based systems and applications in every walk of life and the anticipated widespread use of emerging telematic services has introduced new dimensions to the issue of human-computer interaction, necessitating the design of user interfaces accessible and usable by a diverse user population with different abilities, requirements and preferences
Several approaches have been reported in the relevant literature, e.g. [3, 4], currently there is no general consensus about the characteristics, behaviour and essential components of Intelligent User Interfaces (IUIs) [3, 5]
We present indicative queueing models that can be employed in order to assess the load posed on user’s sensory channels, in the context of a multimedia user interface
Summary
The proliferation of computer-based systems and applications in every walk of life and the anticipated widespread use of emerging telematic services has introduced new dimensions to the issue of human-computer interaction, necessitating the design of user interfaces accessible and usable by a diverse user population with different abilities, requirements and preferences. It has become increasingly important to design human-computer interfaces, which support more efficient and effective user interaction, and address the individual end user expectations, while exhibiting intelligent and co-operative behaviour [1]. In this context, Intelligent User Interfaces (IUIs) are expected to play a crucial role. Assessment of user-computer interaction is currently achieved through the use of models that capture the semantics of several fundamental aspects of the interaction, such as the user model, task model, application model, etc [5, 9] Developing and maintaining such models is, challenging. Similar models can be developed in order to describe other aspects of user-computer interaction, such as the utilisation of interface objects, I/O devices, etc
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