Explainability (XAI) has matured in recent years to provide more human-centered
explanations of AI-based decision systems. While static explanations remain predominant …

Purpose Big Data introduces high amounts and new forms of structured, unstructured and
semi-structured data into the field of accounting and this requires alternative data …

Learn How to Design Effective Visualization SystemsVisualization Analysis and Design
provides a systematic, comprehensive framework for thinking about visualization in terms of …

The considerable previous work characterizing visualization usage has focused on low-level
tasks or interactions and high-level tasks, leaving a gap between them that is not addressed …

Even though interaction is an important part of information visualization (Infovis), it has
garnered a relatively low level of attention from the Infovis community. A few frameworks and …

Although previous research has suggested that examining the interplay between internal
and external representations can benefit our understanding of the role of information …

Despite typically receiving little emphasis in visualization research, interaction in
visualization is the catalyst for the user's dialogue with the data, and, ultimately, the user's …

This article provides a review of the current state of science regarding cartographic
interaction, a complement to the traditional focus within cartography on cartographic …

Proposals to establish a'science of interaction'have been forwarded from Information
Visualization and Visual Analytics, as well as Cartography, Geovisualization, and GIScience …

Las tecnologías utilizadas en los procesos de aprendizaje implican el registro de todas las
actividades realizadas. Estos datos se pueden aprovechar para la evaluación de …