Defining gaze patterns for process model literacy - Exploring visual routines in process models with diverse mappings

被引:9
|
作者
Winter, Michael [1 ]
Neumann, Heiko [2 ]
Pryss, Ruediger [3 ]
Probst, Thomas [4 ]
Reichert, Manfred [1 ]
机构
[1] Ulm Univ, Inst Databases & Informat Syst, Ulm, Germany
[2] Ulm Univ, Inst Neural Informat Proc, Ulm, Germany
[3] Univ Wurzburg, Inst Clin Epidemiol & Biometry, Wurzburg, Germany
[4] Danube Univ Krems, Dept Psychotherapy & Biopsychosocial Hlth, Krems, Austria
关键词
Process Model Literacy; Process Model Comprehension; Visual Routines; Cognitive Load; Level of Acceptability; Eye Tracking; BUSINESS PROCESS MODELS; EYE-MOVEMENTS; INDIVIDUAL-DIFFERENCES; GRAPH COMPREHENSION; TRACKING; INFORMATION; STRATEGIES; MEMORY; UNDERSTANDABILITY; IMPROVEMENT;
D O I
10.1016/j.eswa.2022.119217
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Process models represent important information artifacts for organizations for documentation, communication and collaboration. Proper understanding of such models is critical for effective application in practice (e.g., to have the right information in the right place at the right time). A key aspect of understanding process models is how visual information represented in process models is extracted and processed by the human visual system. For such visuospatial tasks, the visual system employs a set of elementary operations, the compilation of which gives rise to various visual routines. However, which visual routines and related operations are used in understanding process models has not yet been investigated. To address this question, this paper presents findings from an exploratory eye-tracking study in which visual routines were considered during process model comprehension. Specifically, n = 29 participants were asked to understand m = 18 process models expressed in Business Process Model and Notation 2.0, reflecting three different mapping types (i.e., straight, upward, downward) and complexity levels (i.e., easy, medium, hard). The performance measures showed that even less complex process models were challenging to understand properly. The upward mapping presented greater challenges to par-ticipants' attention, whereas the downward mapping was better understood. Three gaze patterns were derived from the recorded eye movements to be applied during model comprehension. A general model is then proposed that summarizes a set of applied visual routines and elementary operations during process model comprehension. Finally, implications for practice as well as for research and future work are discussed.
引用
收藏
页数:22
相关论文
共 9 条
  • [1] Defining gaze patterns for process model literacy - Exploring visual routines in process models with diverse mappings (vol 213, 119217, 2023)
    Winter, Michael
    Neumann, Heiko
    Pryss, Ruediger
    Probst, Thomas
    Reichert, Manfred
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2023, 216
  • [2] The effects of modular process models on gaze patterns - A follow-up investigation about modularization in process model literacy
    Winter, Michael
    Pryss, Ruediger
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2024, 237
  • [3] A multiobjective optimization model for exploring multiprocessor mappings of process networks
    Erbas, C
    Erbas, SC
    Pimentel, AD
    [J]. CODES(PLUS)ISSS 2003: FIRST IEEE/ACM/IFIP INTERNATIONAL CONFERENCE ON HARDWARE/SOFTWARE CODESIGN & SYSTEM SYNTHESIS, 2003, : 182 - 187
  • [4] The Effect of Nudges, Visual Literacy and Their Interaction on Enhancing the Understanding of Enterprise Process Models
    Mulder, Iris
    Mulder, Mark A. T.
    [J]. ADVANCES IN ENTERPRISE ENGINEERING XVI, EEWC 2022, 2023, 473 : 106 - 120
  • [5] Exploring patterns of demand in bike sharing systems via replicated point process models
    Gervini, Daniel
    Khanal, Manoj
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2019, 68 (03) : 585 - 602
  • [6] Defining a feature-level digital twin process model by extracting machining features from MBD models for intelligent process planning
    Li, Jingjing
    Zhou, Guanghui
    Zhang, Chao
    Hu, Junsheng
    Chang, Fengtian
    Matta, Andrea
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 2024,
  • [7] Ensemble learning model based on selected diverse principal component analysis models for process monitoring
    Li, Zhichao
    Yan, Xuefeng
    [J]. JOURNAL OF CHEMOMETRICS, 2018, 32 (06)
  • [8] Geographical patterns of congruence and incongruence between correlative species distribution models and a process-based ecophysiological growth model
    Serra-Diaz, Josep M.
    Keenan, Trevor F.
    Ninyerola, Miquel
    Sabate, Santiago
    Gracia, Carlos
    Lloret, Francisco
    [J]. JOURNAL OF BIOGEOGRAPHY, 2013, 40 (10) : 1928 - 1938
  • [9] Toward Defining the Causal Role of Consciousness: Using Models of Memory and Moral Judgment from Cognitive Neuroscience to Expand the Sociological Dual-Process Model
    Vila-Henninger, Luis Antonio
    [J]. JOURNAL FOR THE THEORY OF SOCIAL BEHAVIOUR, 2015, 45 (02) : 238 - 260