3D virtual world BPM training systems: process gateway experimental results

Michael Leyer, Ross Brown, Banu Aysolmaz, Irene Vanderfeesten, Oktay Turetken

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

9 Citations (Scopus)
324 Downloads (Pure)

Abstract

It is important for companies that their operational employees have profound knowledge of the processes in which their work is embedded. 3D virtual world (VW) environments are promising for learning, especially for complex processes that have deviations from the standard flow. We design a 3D VW process training environment to improve process learning, particularly for complex processes with alternative flows, represented with gateways in process models. We adopt the method of loci, which suggests the mental traversal of routines for improving learning. Our experiment with 145 participants compares the level of knowledge acquired for a sample process with our 3D VW environment and a 2D depiction. We found that the 3D VW environment significantly increases the level of process knowledge acquired across the typical gateways in processes. Our results contribute to our understanding of how individuals learn knowledge of processes via 3D environments. With a low initial investment, practitioners are encouraged to invest in 3D training systems for processes, since these can be set up once and reused multiple times for various employees.

Original languageEnglish
Title of host publicationAdvanced Information Systems Engineering - 31st International Conference, CAiSE 2019, Proceedings
EditorsPaolo Giorgini, Barbara Weber
Place of PublicationCham
PublisherSpringer
Pages415-429
Number of pages15
ISBN (Electronic)978-3-030-21290-2
ISBN (Print)978-3-030-21289-6
DOIs
Publication statusPublished - 2019
Event31st International Conference on Advanced Information Systems Engineering, CAiSE 2019 - Rome, Italy
Duration: 3 Jun 20197 Jun 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11483 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference31st International Conference on Advanced Information Systems Engineering, CAiSE 2019
Abbreviated titleCAiSE 2019
Country/TerritoryItaly
CityRome
Period3/06/197/06/19

Keywords

  • Experiment
  • Gateways
  • Process model
  • Training
  • Virtual worlds

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