Task-specific visual cues for improving process model understanding

被引:37
|
作者
Petrusel, Razvan [1 ]
Mendling, Jan [2 ]
Reijers, Hajo A. [3 ]
机构
[1] Univ Babes Bolyai, Fac Econ & Business Adm, Teodor Mihali Str 58-60, Cluj Napoca 400591, Romania
[2] Vienna Univ Econ & Business Adm, Inst Informat Business, Welthandelspl 1, A-1020 Vienna, Austria
[3] Vrije Univ Amsterdam, Dept Comp Sci, De Boelelaan 1105, NL-1081 HV Amsterdam, Netherlands
关键词
Business process model understanding; Visual cues; Scoping task specific model elements; Process model relevant region; Color process model elements; BUSINESS PROCESS MODELS; EYE-MOVEMENTS; COMPLEXITY; FRAMEWORK; TRACKING;
D O I
10.1016/j.infsof.2016.07.003
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Context: Business process models support various stakeholders in managing business processes and designing process-aware information systems. In order to make effective use of these models, they have to be readily understandable. Objective: Prior research has emphasized the potential of visual cues to highlight relevant matters in models such that stakeholders can use them more efficiently. What prior research does not explain is in how far visual cues can be customized to specific understanding tasks and how this influences cognition. Method: In this paper, we address these questions with an experimental research design, in which we use eye-tracking equipment to capture how process experts use models to answer comprehension questions. As a treatment, we designed two manipulations of the secondary notation, namely coloring and layout, to direct attention to the elements relevant for the specific tasks. Results: Our results indicate that both manipulations improve both eye-tracking-based measures and performance measures such as duration and efficiency, with color having the stronger effect. Conclusions: Our findings lay the foundation for novel features of process modeling tools that provide modifications of secondary notation in response to specific user queries. More generally, our research emphasizes the importance of the relevant region associated with a particular model understanding task. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:63 / 78
页数:16
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