By Matthias Bezold
Adaptive Multimodal Interactive Systems introduces a normal framework for adapting multimodal interactive platforms and contains a close dialogue of every of the stairs required for version. This booklet additionally investigates how interactive platforms will be more suitable when it comes to usability and person friendliness whereas describing the exhaustive consumer assessments hired to judge the offered approaches.
After introducing normal concept, a regular technique for person modeling in interactive platforms is gifted, starting from an remark of easy occasions to an outline of higher-level person habit. diversifications are offered as a collection of styles just like these recognized from software program or usability engineering.These styles describe habitual difficulties and current confirmed ideas. The authors comprise a dialogue on while and the way to hire styles and supply counsel to the approach fashion designer who desires to upload adaptivity to interactive structures. as well as those styles, the e-book introduces an model framework, which indicates an abstraction layer utilizing Semantic net technology.Adaptations are carried out on most sensible of this abstraction layer by way of making a semantic illustration of the difference styles. The styles hide either graphical interfaces in addition to speech-based and multimodal interactive systems.
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Additional info for Adaptive Multimodal Interactive Systems
Finally, the use of ontologies in interactive systems and semantic adaptation architectures was presented. However, when addressing adaptive interactive systems, such as digital TV systems or automotive dashboard systems, the approaches presented in the literature cannot be directly transferred, since adaptive interactive systems have different requirements with regard to user modeling and adaptations. For example, hypertext systems adapt documents rather than interface elements. In addition, many approach in the literature present approaches that are limited to specific domains or types of interactive systems.
In this chapter, we introduce a novel approach for describing user actions in interactive systems. The approach starts with an observation of basic events that occur in the user-system interaction. Different algorithms build on each other to enable a higher-level description of user behavior and to build a user model. User actions are described by sequences of basic events and probabilistic automata detect these actions. Task models in turn facilitate a description of more complex user behavior.
Other domains of adaptive systems may benefit from this research, which has produced sophisticated models for adaptive hypertext systems. In this work, we use an ontology for information representation, which may serve as a foundation for a reference model. In the following, we present examples of adaptive hypermedia systems. ELM-ART (Weber and Brusilovsky, 2001) is an intelligent tutoring system for the LISP programming language. A traffic light metaphor provides adaptive navigation support: a green bullet in front of a link recommends a page for a user, whereas a red bullet indicates that the user’s level of knowledge is deemed insufficient for that page.
Adaptive Multimodal Interactive Systems by Matthias Bezold
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