By Shane Pinder
In those 34 chapters, we survey the wide disciplines that loosely inhabit the learn and perform of human-computer interplay. Our authors are passionate advocates of cutting edge purposes, novel ways, and glossy advances during this fascinating and constructing box. it really is our want that the reader ponder not just what our authors have written and the experimentation they've got defined, but in addition the examples they've got set.
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Extra resources for Advances in Human Computer Interaction
Sample text
2000). Un enfoque novedoso en las interfaces multimodales es la integración de tecnología de agentes, componentes multimedia y de realidad virtual junto con técnicas de inteligencia artificial para desarrollar personajes similares a humanos que interactúan con los usuarios de una manera más natural. Mediante el uso de de visión computacional y procesamiento de voz, estos personajes animados o agentes conocidos como ECAS Embodied Conversational Agents representan una línea de investigación que integra varias áreas (Cassell, 2000).
2000) representa uno de los pocos sistemas para aplicaciones críticas, tales como las de operación y control, sin embargo a diferencia del modelo que proponemos (MIA-IC), su sistema es adaptivo y es aplicable a la visualización de contenidos únicamente, no incluyendo navegación adaptable. Asimismo el sistema MIA-IC es específico a tareas poco frecuentes y críticas, nicho que ninguno de los sistemas presentado aborda. El sistema ADAPTs (Brusilovsky & Cooper, 2002) es similar en algunos aspectos al modelo que proponemos, ya que utiliza varios modelos para realizar la adaptación, como son un modelo de usuario, un modelo del dominio y otro de tareas similar al MIA-IC.
Esta es una técnica automatizada de UM que no requiere de ninguna retroalimentación directa del usuario para identificar un patrón de comportamiento y modificar el contenido de acuerdo a éste. • Explícita: La captura de datos explícitos involucra el análisis de datos metidos por el usuario, proporcionando información acerca de sus preferencias mediante el llenado de un perfil de usuario. Ejemplos de estos datos son la edad, sexo, ciudad, historial de compras, preferencias sobre contenidos y distribución de la información en pantalla.