Modelling Data Visualization Interactions: from Semiotics to Pragmatics and Back to Humans

P. Buono, A. Locoro
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Abstract

This paper makes a point of current perspectives on Data Visualization research that were essentially conceived to provide guidelines for finding the best mapping between data and visual representations. Going back to foundational concepts of HCI that rely on manipulation of visual symbols, we propose a new perspective, with the aim to focus on a different configuration, that considers visual signs, professional contexts and user practices. We argue that, so far, user practices have been neglected or left behind in design, evaluation and recommendation scenarios, reducing them to the pure relational focus among kind of data, kind of charts and in lab tasks. This may underestimate the potential of the pragmatic side of this relation, where humans manipulate and interpret signs on the basis of their "practical knowledge, a factor that should be considered to improve human interactions with Data Visualization tools. The perspective discussed here would bring into light and help frame open problems such as interactions in routine tasks and the interpretation of data through visual interactive tools in daily professional practices. By proposing a light but formal model of investigation of these pragmatic interactions, we would like to contribute to the current debate around data visualization as the new strategic tool for dealing with the growing complexity of big data streams, digitization of life, sensor and hardware-embedded intelligence.
数据可视化交互建模:从符号学到语用学再回到人类
本文提出了当前数据可视化研究的观点,这些观点本质上是为了提供在数据和视觉表示之间寻找最佳映射的指导方针。回到依赖于视觉符号操作的HCI的基本概念,我们提出了一个新的视角,旨在关注不同的配置,考虑视觉符号、专业背景和用户实践。我们认为,到目前为止,用户实践在设计、评估和推荐场景中被忽视或抛在后面,将它们减少到纯粹的数据、图表和实验室任务之间的关系焦点。这可能低估了这种关系的实用主义方面的潜力,在这种关系中,人类根据他们的“实践知识”操纵和解释符号,这是一个应该被考虑的因素,以改善人类与数据可视化工具的互动。这里讨论的观点将揭示并帮助构建开放的问题,例如日常任务中的交互以及通过日常专业实践中的可视化交互工具对数据的解释。通过提出一种简单但正式的模型来研究这些实用的交互,我们希望对当前关于数据可视化作为处理日益复杂的大数据流、生活数字化、传感器和硬件嵌入式智能的新战略工具的争论有所贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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