Guiding attention in flow-based conceptual models through consistent flow and pattern visibility

IF 6.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Kathrin Figl , Pnina Soffer , Barbara Weber
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引用次数: 0

Abstract

A critical part of flow-based conceptual modeling, such as process modeling, is visualizing the logical and temporal sequence in which activities in a process should be completed. While there are established standards and recommendations, there is limited empirical research examining the influence of process model layout on model comprehension. To address this research gap, we conducted a controlled eye-tracking experiment with 70 participants comparing different layouts. The experimental results confirm that the visibility of control flow patterns is critical for assisting users with visual processing, particularly attentional allocation, when comprehending process models for both local comprehension tasks and tasks requiring cognitive integration of model components. In models with more directional changes, users’ visual attention is more drawn to irrelevant regions, but comprehension is less affected as long as patterns remain visible. Our findings not only elucidate how cognitive fit between a visual representation and a task can manifest itself and the perceptual benefits it brings, but they can also guide the automated layout of models in tools and complement practical process modeling guidelines.

通过一致的流程和模式可见性,在基于流程的概念模型中引导注意力
基于流程的概念建模(如流程建模)的一个关键部分是将流程中各项活动完成的逻辑和时间顺序可视化。虽然有既定的标准和建议,但对流程模型布局对模型理解影响的实证研究却很有限。为了弥补这一研究空白,我们对 70 名参与者进行了眼动跟踪实验,比较了不同的布局。实验结果证实,在理解流程模型的局部理解任务和需要对模型组件进行认知整合的任务时,控制流模式的可见性对于帮助用户进行视觉处理,尤其是注意力分配至关重要。在方向变化较多的模型中,用户的视觉注意力会更多地被吸引到无关区域,但只要模式保持可见,理解能力就不会受到太大影响。我们的研究结果不仅阐明了视觉表征与任务之间的认知契合是如何体现的,以及它所带来的感知上的好处,而且还可以指导工具中模型的自动布局,并补充实用流程建模指南。
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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来源期刊
Decision Support Systems
Decision Support Systems 工程技术-计算机:人工智能
CiteScore
14.70
自引率
6.70%
发文量
119
审稿时长
13 months
期刊介绍: The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
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