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

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.

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
StatePublished - 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
CountryItaly
CityRome
Period3/06/197/06/19

Fingerprint

Virtual Worlds
Gateway
Personnel
Experimental Results
Industry
Experiments
Training
Learning Process
Process Model
Locus
Deviation
Knowledge
Alternatives

Keywords

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

Cite this

Leyer, M., Brown, R., Aysolmaz, B., Vanderfeesten, I., & Turetken, O. (2019). 3D virtual world BPM training systems: process gateway experimental results. In P. Giorgini, & B. Weber (Eds.), Advanced Information Systems Engineering - 31st International Conference, CAiSE 2019, Proceedings (pp. 415-429). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11483 LNCS). Cham: Springer. DOI: 10.1007/978-3-030-21290-2_26
Leyer, Michael ; Brown, Ross ; Aysolmaz, Banu ; Vanderfeesten, Irene ; Turetken, Oktay. / 3D virtual world BPM training systems : process gateway experimental results. Advanced Information Systems Engineering - 31st International Conference, CAiSE 2019, Proceedings. editor / Paolo Giorgini ; Barbara Weber. Cham : Springer, 2019. pp. 415-429 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{de650832fc334284be04600ba415876d,
title = "3D virtual world BPM training systems: process gateway experimental results",
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.",
keywords = "Experiment, Gateways, Process model, Training, Virtual worlds",
author = "Michael Leyer and Ross Brown and Banu Aysolmaz and Irene Vanderfeesten and Oktay Turetken",
year = "2019",
doi = "10.1007/978-3-030-21290-2_26",
language = "English",
isbn = "978-3-030-21289-6",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "415--429",
editor = "Paolo Giorgini and Barbara Weber",
booktitle = "Advanced Information Systems Engineering - 31st International Conference, CAiSE 2019, Proceedings",
address = "Germany",

}

Leyer, M, Brown, R, Aysolmaz, B, Vanderfeesten, I & Turetken, O 2019, 3D virtual world BPM training systems: process gateway experimental results. in P Giorgini & B Weber (eds), Advanced Information Systems Engineering - 31st International Conference, CAiSE 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11483 LNCS, Springer, Cham, pp. 415-429, 31st International Conference on Advanced Information Systems Engineering, CAiSE 2019, Rome, Italy, 3/06/19. DOI: 10.1007/978-3-030-21290-2_26

3D virtual world BPM training systems : process gateway experimental results. / Leyer, Michael; Brown, Ross; Aysolmaz, Banu; Vanderfeesten, Irene; Turetken, Oktay.

Advanced Information Systems Engineering - 31st International Conference, CAiSE 2019, Proceedings. ed. / Paolo Giorgini; Barbara Weber. Cham : Springer, 2019. p. 415-429 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11483 LNCS).

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

TY - GEN

T1 - 3D virtual world BPM training systems

T2 - process gateway experimental results

AU - Leyer,Michael

AU - Brown,Ross

AU - Aysolmaz,Banu

AU - Vanderfeesten,Irene

AU - Turetken,Oktay

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Experiment

KW - Gateways

KW - Process model

KW - Training

KW - Virtual worlds

UR - http://www.scopus.com/inward/record.url?scp=85067346384&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-21290-2_26

DO - 10.1007/978-3-030-21290-2_26

M3 - Conference contribution

SN - 978-3-030-21289-6

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 415

EP - 429

BT - Advanced Information Systems Engineering - 31st International Conference, CAiSE 2019, Proceedings

PB - Springer

CY - Cham

ER -

Leyer M, Brown R, Aysolmaz B, Vanderfeesten I, Turetken O. 3D virtual world BPM training systems: process gateway experimental results. In Giorgini P, Weber B, editors, Advanced Information Systems Engineering - 31st International Conference, CAiSE 2019, Proceedings. Cham: Springer. 2019. p. 415-429. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Available from, DOI: 10.1007/978-3-030-21290-2_26