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Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization最新文献

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Comparing benchmark task and insight evaluation methods on timeseries graph visualizations 比较时间序列图可视化的基准任务和洞察力评估方法
Pub Date : 2010-04-10 DOI: 10.1145/2110192.2110201
Purvi Saraiya, Chris North, K. Duca
A study to compare two different empirical research methods for evaluating visualization tools is described: the traditional benchmark-task method and the insight method. The methods were compared using different criteria such as: the conclusions about the visualization tools provided by each method, the time participants spent during the study, the time and effort required to analyze the resulting empirical data, and the effect of individual differences between participants on the results. The studies used three graph visualization alternatives to associate bioinformatics microarray timeseries data to pathway graph vertices, based on popular approaches used in existing bioinformatics software.
本文对可视化工具评价的两种不同的实证研究方法进行了比较研究:传统的基准任务法和洞察法。采用不同的标准对方法进行比较,如:每种方法提供的可视化工具的结论,参与者在研究中花费的时间,分析所得经验数据所需的时间和精力,以及参与者之间的个体差异对结果的影响。该研究基于现有生物信息学软件中使用的流行方法,使用三种图形可视化替代方案将生物信息学微阵列时间序列数据与路径图顶点相关联。
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引用次数: 16
Towards information-theoretic visualization evaluation measure: a practical example for Bertin's matrices 面向信息论的可视化评价测度:以Bertin矩阵为例
Pub Date : 2010-04-10 DOI: 10.1145/2110192.2110196
I. Liiv
This paper presents a discussion about matrix-based representation evaluation measures, including a review of related evaluation measures from different scientific disciplines and a proposal for promising approaches. The paper advocates linking or replacing a large portion of indefinable aesthetics with a mathematical framework and theory backed up by an incomputable function -- Kolmogorov complexity. A suitable information-theoretic evaluation measure is proposed together with a practical approximating implementation example for Bertin's Matrices.
本文对基于矩阵的表征评价方法进行了讨论,综述了不同学科的相关评价方法,并提出了有前途的方法。本文主张用一个不可计算的函数——柯尔莫哥洛夫复杂度——支持的数学框架和理论来连接或取代大部分不可定义的美学。提出了一种合适的信息论评价方法,并给出了一个实用的近似实现实例。
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引用次数: 2
Comparing information graphics: a critical look at eye tracking 比较信息图形:眼动追踪的关键观点
Pub Date : 2010-04-10 DOI: 10.1145/2110192.2110203
J. Goldberg, J. Helfman
Effective graphics are essential for understanding complex information and completing tasks. To assess graphic effectiveness, eye tracking methods can help provide a deeper understanding of scanning strategies that underlie more traditional, high-level accuracy and task completion time results. Eye tracking methods entail many challenges, such as defining fixations, assigning fixations to areas of interest, choosing appropriate metrics, addressing potential errors in gaze location, and handling scanning interruptions. Special considerations are also required designing, preparing, and conducting eye tracking studies. An illustrative eye tracking study was conducted to assess the differences in scanning within and between bar, line, and spider graphs, to determine which graphs best support relative comparisons along several dimensions. There was excessive scanning to locate the correct bar graph in easier tasks. Scanning across bar and line graph dimensions before comparing across graphs was evident in harder tasks. There was repeated scanning between the same dimension of two spider graphs, implying a greater cognitive demand from scanning in a circle that contains multiple linear dimensions, than from scanning the linear axes of bar and line graphs. With appropriate task design and targeted analysis metrics, eye tracking techniques can illuminate visual scanning patterns hidden by more traditional time and accuracy results.
有效的图形对于理解复杂的信息和完成任务至关重要。为了评估图形效果,眼动追踪方法可以帮助我们更深入地了解扫描策略,这些策略是传统的、高精确度和任务完成时间结果的基础。眼动追踪方法带来了许多挑战,例如定义注视点,将注视点分配到感兴趣的区域,选择适当的指标,解决注视位置的潜在错误,以及处理扫描中断。在设计、准备和进行眼动追踪研究时也需要特别考虑。进行了一项说明性眼动追踪研究,以评估条形图、线形图和蜘蛛图之间的扫描差异,以确定哪种图最能支持几个维度上的相对比较。在简单的任务中,为了找到正确的条形图,需要进行过多的扫描。在比较不同图形之前先扫描条形图和线形图的尺寸,这在较困难的任务中是很明显的。在两个蜘蛛图的相同维度之间重复扫描,这意味着在包含多个线性维度的圆圈中扫描比扫描条形图和线形图的线性轴更大的认知需求。通过适当的任务设计和有针对性的分析指标,眼动追踪技术可以揭示传统的时间和精度结果所隐藏的视觉扫描模式。
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引用次数: 120
Exploring information visualization: describing different interaction patterns 探索信息可视化:描述不同的交互模式
Pub Date : 2010-04-10 DOI: 10.1145/2110192.2110195
M. Pohl, Sylvia Wiltner, S. Miksch
Interactive Information Visualization methods engage users in exploratory behavior. Detailed information about such processes can help developers to improve the design of such methods. The following study which is based on software logging describes patterns of such behavior in more detail. Subjects in our study engaged in some activities (e.g. adding data, changing form of visualization) significantly more than in others. They adapted their activity patterns to different tasks, but not fundamentally so. In addition, subjects adopted very systematic sequences of actions. These sequences were quite similar across the whole sample, thus indicating that such sequences might reflect specific problem solving behavior. Davidson's [7] framework of problem solving behavior is used to interpret the results. More research is necessary to show whether similar interaction patterns can be found for the usage of other InfoVis methodologies as well.
交互式信息可视化方法吸引用户进行探索行为。关于这些过程的详细信息可以帮助开发人员改进这些方法的设计。下面的研究基于软件日志更详细地描述了这种行为的模式。在我们的研究中,受试者参与某些活动(例如添加数据,改变可视化形式)的次数明显多于其他活动。他们根据不同的任务调整了自己的活动模式,但并不是根本如此。此外,实验对象采取了非常系统的行动序列。这些序列在整个样本中非常相似,因此表明这些序列可能反映了特定的解决问题的行为。Davidson的[7]问题解决行为框架被用来解释结果。还需要更多的研究来证明是否可以为其他InfoVis方法的使用找到类似的交互模式。
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引用次数: 13
Generating a synthetic video dataset 生成合成视频数据集
Pub Date : 2010-04-10 DOI: 10.1145/2110192.2110199
M. Whiting, J. Haack, Carrie Varley
A synthetic video dataset, scenario, and task were included in the 2009 VAST Challenge, to allow participants an opportunity to demonstrate visual analytic tool use on video data. This is the first time a video challenge had been presented as part of the VAST contest and provided interesting challenges in task and dataset development, video analytic tool development, and metrics for judging entries. We describe the considerations and requirements for generation of a usable challenge, the video creation itself, and some submissions and assessments from that mini-challenge.
2009年VAST挑战赛包含了一个合成视频数据集、场景和任务,让参与者有机会展示视频数据上的可视化分析工具的使用。这是第一次将视频挑战作为VAST竞赛的一部分,并在任务和数据集开发,视频分析工具开发以及评判参赛作品的指标方面提供了有趣的挑战。我们描述了生成可用挑战的考虑因素和要求,视频创作本身,以及来自该小型挑战的一些提交和评估。
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引用次数: 0
Shakespeare's complete works as a benchmark for evaluating multiscale document navigation techniques 以莎士比亚全集作为评价多尺度文档导航技术的基准
Pub Date : 2006-05-23 DOI: 10.1145/1168149.1168165
Y. Guiard, M. Beaudouin-Lafon, Yangzhou Du, Caroline Appert, Jean-Daniel Fekete, O. Chapuis
In this paper, we describe an experimental platform dedicated to the comparative evaluation of multiscale electronic-document navigation techniques. One noteworthy characteristic of our platform is that it allows the user not only to translate the document (for example, to pan and zoom) but also to tilt the virtual camera to obtain freely chosen perspective views of the document. Second, the platform makes it possible to explore, with semantic zooming, the 150,000 verses that comprise the complete works of William Shakespeare. We argue that reaching and selecting one specific verse in this very large text corpus amounts to a perfectly well defined Fitts task, leading to rigorous assessments of target acquisition performance. For lack of a standard, the various multiscale techniques that have been reported recently in the literature are difficult to compare. We recommend that Shakespeare's complete works, converted into a single document that can be zoomed both geometrically and semantically, be used as a benchmark to facilitate systematic experimental comparisons, using Fitts' target acquisition paradigm.
在本文中,我们描述了一个专门用于多尺度电子文档导航技术比较评估的实验平台。我们平台的一个值得注意的特点是,它不仅允许用户翻译文档(例如,平移和缩放),还允许用户倾斜虚拟摄像机以自由选择文档的视角。其次,该平台可以通过语义缩放来探索包含威廉·莎士比亚全集的15万首诗歌。我们认为,在这个非常大的文本语料库中达到并选择一个特定的诗句相当于一个完美定义的Fitts任务,导致对目标习得性能的严格评估。由于缺乏标准,最近在文献中报道的各种多尺度技术难以进行比较。我们建议使用菲茨的目标习得范式,将莎士比亚全集转换成一个可以在几何上和语义上缩放的单一文档,作为促进系统实验比较的基准。
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引用次数: 17
A taxonomy of tasks for guiding the evaluation of multidimensional visualizations 用于指导多维可视化评估的任务分类
Pub Date : 2006-05-23 DOI: 10.1145/1168149.1168169
Eliane Regina de Almeida Valiati, M. Pimenta, C. Freitas
The design of multidimensional visualization techniques is based on the assumption that a graphical representation of a large dataset can give more insight to a user, by providing him/her a more intuitive support in the process of exploiting data. When developing a visualization technique, the analytic and exploratory tasks that a user might need or want to perform on the data should guide the choice of the visual and interaction metaphors implemented by the technique. Usability testing of visualization techniques also needs the definition of users' tasks. The identification and understanding of the nature of the users' tasks in the process of acquiring knowledge from visual representations of data is a recent branch in information visualization research. Some works have proposed taxonomies to organize tasks that a visualization technique should support. This paper proposes a taxonomy of visualization tasks, based on existing taxonomies as well as on the observation of users performing exploratory tasks in a multidimensional data set using two different visualization techniques, Parallel Coordinates and RadViz. Different scenarios involving low-level tasks were estimated for the completion of some high-level tasks, and they were compared to the scenarios observed during the users' experiments.
多维可视化技术的设计基于这样一个假设,即大型数据集的图形化表示可以为用户提供更多的洞察力,为用户在利用数据的过程中提供更直观的支持。在开发可视化技术时,用户可能需要或想要对数据执行的分析和探索任务应该指导该技术实现的可视化和交互隐喻的选择。可视化技术的可用性测试还需要对用户的任务进行定义。在从数据的可视化表示中获取知识的过程中,对用户任务性质的识别和理解是信息可视化研究的一个新分支。一些作品提出了分类方法来组织可视化技术应该支持的任务。本文提出了一种可视化任务分类法,该分类法基于现有的分类法以及对用户在多维数据集中执行探索性任务的观察,使用两种不同的可视化技术,Parallel Coordinates和RadViz。对于一些高水平任务的完成,我们估计了涉及低水平任务的不同场景,并将它们与用户在实验中观察到的场景进行了比较。
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引用次数: 87
Methods for the evaluation of an interactive InfoVis tool supporting exploratory reasoning processes 评价支持探索性推理过程的交互式InfoVis工具的方法
Pub Date : 2006-05-23 DOI: 10.1145/1168149.1168156
Markus Rester, M. Pohl
Developing Information Visualization (InfoVis) techniques for complex knowledge domains makes it necessary to apply alternative methods of evaluation. In the evaluation of Gravi++ we used several methods and studied different user groups. We developed a reporting system yielding data about the insights the subjects gained during the exploration. It provides complex information about subjects' reasoning processes. Log files are valuable for time-dependent analysis of cognitive strategies. Focus groups provide a different view on the process of gaining insights. We assume that our experiences with all these methods can also be applied in similar evaluation studies on InfoVis techniques for complex data.
为复杂的知识领域开发信息可视化(InfoVis)技术使得有必要应用替代的评估方法。在对gravi++的评价中,我们使用了几种方法,研究了不同的用户群体。我们开发了一个报告系统,生成关于受试者在探索过程中获得的见解的数据。它提供了关于受试者推理过程的复杂信息。日志文件对于与时间相关的认知策略分析很有价值。焦点小组对获得见解的过程提供了不同的看法。我们认为,所有这些方法的经验也可以应用于对复杂数据的InfoVis技术的类似评估研究。
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引用次数: 18
Evaluating information visualisations 评估信息可视化
Pub Date : 2006-05-23 DOI: 10.1145/1168149.1168151
K. Andrews
As more experience is being gained with the evaluation of information visualisation interfaces, weaknesses in current evaluation practice are coming to the fore.This position paper presents an overview of currently used evaluation methods, followed by a discussion of my experiences and lessons learned from a series of studies comparing hierarchy browsers.
随着信息可视化界面评价经验的不断积累,当前评价实践中的不足也逐渐显现出来。本文概述了当前使用的评估方法,然后讨论了我从一系列比较层次浏览器的研究中获得的经验和教训。
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引用次数: 43
Evaluating information visualization applications with focus groups: the CourseVis experience 使用焦点小组评估信息可视化应用程序:CourseVis体验
Pub Date : 2006-05-23 DOI: 10.1145/1168149.1168155
Riccardo Mazza
This paper reports our experience of evaluating an application that uses visualization approaches to support instructors in Web based distance education. The evaluation took place in three stages: a focus group, an experimental study, and a semi-structured interview. In this paper we focus our attention on the focus group, and we will show how this evaluation approach can be very effective in uncovering unexpected problems that cannot be identified with analytic evaluations or controlled experiments.
本文报告了我们评估一个应用程序的经验,该应用程序使用可视化方法在基于Web的远程教育中支持教师。评估分三个阶段进行:焦点小组、实验研究和半结构化访谈。在本文中,我们将注意力集中在焦点小组上,我们将展示这种评估方法如何能够非常有效地发现无法通过分析评估或控制实验确定的意外问题。
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引用次数: 24
期刊
Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization
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