2011 44th Hawaii International Conference on System Sciences 2011
DOI: 10.1109/hicss.2011.199
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Expanding the Scope: Interaction Design Perspectives for Visual Analytics

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Cited by 8 publications
(6 citation statements)
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“…While the data indicate that interaction dialogs allows users sufficient access to information, the evidence tend to suggest a trend in which the dialogs were often less comprehensible to the users in ways that made VA tools rather unsuitable for the analytic tasks. This is perhaps a clear indication of what Green et al (2011) refers to as the general disposition to create interfaces based on their own methodologies and interaction metaphors. Clearly, this mismatch underlines the need for interaction design techniques that are user-adapted and context-oriented.…”
Section: Discussionmentioning
confidence: 97%
“…While the data indicate that interaction dialogs allows users sufficient access to information, the evidence tend to suggest a trend in which the dialogs were often less comprehensible to the users in ways that made VA tools rather unsuitable for the analytic tasks. This is perhaps a clear indication of what Green et al (2011) refers to as the general disposition to create interfaces based on their own methodologies and interaction metaphors. Clearly, this mismatch underlines the need for interaction design techniques that are user-adapted and context-oriented.…”
Section: Discussionmentioning
confidence: 97%
“…how the analyst make sense of the data [4] which, in a visual analytics context, is enabled through visualization of and interaction with the computational bases and results. However, the human reasoning strategies involved can significantly vary where the analysts can follow strategies and heuristics such as trial and error, means-end analysis, saticficing, expected utility, abduction, induction and deduction (see [4], [5] for more information).…”
Section: Visual Analytics For Supporting Sense-makingmentioning
confidence: 99%
“…Sin embargo, no existe una unidad estándar de cognición y el razonamiento humano es algo subjetivo que depende muchas veces del propio contexto, por lo que el éxito de las visualizaciones es difícilmente medible [30]. Los principios sobre los cuales han sido creadas no están siempre claros o son dejados al albedrio del desarrollador, y debido a ello, su éxito puede ponerse en duda.…”
Section: Decisionesunclassified
“…El ser humano aprende por naturaleza, basándose en la información adquirida de la interacción con el entorno [30]. Siguiendo este modelo, los sistemas BI actuales integran interfaces interactivas que permiten la manipulación de los objetos visuales mostrados, dándoles la opción de elegir qué y cómo se visualizan los datos [31].…”
Section: Decisionesunclassified