Name: Semantic Interaction for Visual Analytics: Inferring Analytical Reasoning for Model Steering (en Inglés)
Price: 197.85 PEN
Availability: InStock
Author: Endert, Alex
ISBN: 9783031014758

portada Semantic Interaction for Visual Analytics: Inferring Analytical Reasoning for Model Steering (en Inglés)

Formato

Libro Físico

Autor

Alex Endert

Editorial

Springer

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

23.5 x 19.1 x 0.5 cm

Peso

0.19 kg.

ISBN13

9783031014758

N° edición

Categorías

Combinatoria y teoría de grafos
Reconocimiento de formas
Visión por ordenador
Interacción persona-ordenador

Semantic Interaction for Visual Analytics: Inferring Analytical Reasoning for Model Steering (en Inglés)

Alex Endert (Autor) · Springer · Tapa Blanda

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Reseña del libro "Semantic Interaction for Visual Analytics: Inferring Analytical Reasoning for Model Steering (en Inglés)"

This book discusses semantic interaction, a user interaction methodology for visual analytic applications that more closely couples the visual reasoning processes of people with the computation. This methodology affords user interaction on visual data representations that are native to the domain of the data. User interaction in visual analytics systems is critical to enabling visual data exploration. Interaction transforms people from mere viewers to active participants in the process of analyzing and understanding data. This discourse between people and data enables people to understand aspects of their data, such as structure, patterns, trends, outliers, and other properties that ultimately result in insight. Through interacting with visualizations, users engage in sensemaking, a process of developing and understanding relationships within datasets through foraging and synthesis.The book provides a description of the principles of semantic interaction, providing design guidelines for the integration of semantic interaction into visual analytics, examples of existing technologies that leverage semantic interaction, and a discussion of how to evaluate these technologies. Semantic interaction has the potential to increase the effectiveness of visual analytic technologies and opens possibilities for a fundamentally new design space for user interaction in visual analytics systems.