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BeauVis:一种用于测量视觉表现审美愉悦感的有效量表。

BeauVis: A Validated Scale for Measuring the Aesthetic Pleasure of Visual Representations.

作者信息

He Tingying, Isenberg Petra, Dachselt Raimund, Isenberg Tobias

出版信息

IEEE Trans Vis Comput Graph. 2023 Jan;29(1):363-373. doi: 10.1109/TVCG.2022.3209390. Epub 2022 Dec 16.

DOI:10.1109/TVCG.2022.3209390
PMID:36155461
Abstract

We developed and validated a rating scale to assess the aesthetic pleasure (or beauty) of a visual data representation: the BeauVis scale. With our work we offer researchers and practitioners a simple instrument to compare the visual appearance of different visualizations, unrelated to data or context of use. Our rating scale can, for example, be used to accompany results from controlled experiments or be used as informative data points during in-depth qualitative studies. Given the lack of an aesthetic pleasure scale dedicated to visualizations, researchers have mostly chosen their own terms to study or compare the aesthetic pleasure of visualizations. Yet, many terms are possible and currently no clear guidance on their effectiveness regarding the judgment of aesthetic pleasure exists. To solve this problem, we engaged in a multi-step research process to develop the first validated rating scale specifically for judging the aesthetic pleasure of a visualization (osf.io/fxs76). Our final BeauVis scale consists of five items, "enjoyable," "likable," "pleasing," "nice," and "appealing." Beyond this scale itself, we contribute (a) a systematic review of the terms used in past research to capture aesthetics, (b) an investigation with visualization experts who suggested terms to use for judging the aesthetic pleasure of a visualization, and (c) a confirmatory survey in which we used our terms to study the aesthetic pleasure of a set of 3 visualizations.

摘要

我们开发并验证了一种用于评估视觉数据表示的审美愉悦感(或美感)的评分量表:即BeauVis量表。通过我们的工作,我们为研究人员和从业者提供了一种简单的工具,用于比较不同可视化的视觉外观,而与数据或使用背景无关。例如,我们的评分量表可用于辅助对照实验的结果,或在深入的定性研究中用作信息丰富的数据点。鉴于缺乏专门针对可视化的审美愉悦感量表,研究人员大多选择自己的术语来研究或比较可视化的审美愉悦感。然而,可能的术语有很多,目前对于它们在审美愉悦感判断方面的有效性尚无明确指导。为了解决这个问题,我们进行了一个多步骤的研究过程,以开发首个经过验证的专门用于判断可视化审美愉悦感的评分量表(osf.io/fxs76)。我们最终的BeauVis量表由五个项目组成:“令人愉悦的”“讨人喜欢的”“令人愉快的”“美好的”和“有吸引力的”。除了这个量表本身,我们还做出了以下贡献:(a)对过去研究中用于描述美学的术语进行系统综述;(b)对可视化专家进行调查,他们提出了用于判断可视化审美愉悦感的术语;(c)进行一项验证性调查,我们使用这些术语来研究一组三个可视化的审美愉悦感。

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