Complexity in declarative process models: Metrics and multi-modal assessment of cognitive load-Reference-Cited by-同舟云学术

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Complexity in declarative process models: Metrics and multi-modal assessment of cognitive load

Published:2023-12 Issue: Volume:233 Page:120924
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Abbad-Andaloussi Amine^ORCID,Burattin Andrea^ORCID,Slaats Tijs^ORCID,Kindler Ekkart^ORCID,Weber Barbara^ORCID

Funder

Universität St. Gallen

Innovationsfonden

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference96 articles.

1. Understanding quality in declarative process modeling through the mental models of experts;Andaloussi,2020

2. Evaluating essential and accidental code complexity triggers by practitioners’ perception;Antinyan;IEEE Software,2020

3. A systematic literature review of process modeling guidelines and their empirical support;Avila;Business Process Management Journal,2020

4. Guidelines of business process modeling;Becker,2000

5. Does cognitive overload matter in understanding BPMN models?;Bera;Journal of Computer Information Systems,2012

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2. NeighboAR: Efficient Object Retrieval using Proximity- and Gaze-based Object Grouping with an AR System;Proceedings of the ACM on Human-Computer Interaction;2024-05-20

3. Towards an E-Learning Approach for Declarative Process Modeling;Lecture Notes in Business Information Processing;2024

4. Exploring the Cognitive Effects of Ambiguity in Process Models;Lecture Notes in Computer Science;2024

5. Improving Simplicity by Discovering Nested Groups in Declarative Models;Lecture Notes in Computer Science;2024

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