An Augmented Reality Training Application for Service and Maintenance of a Medical Analyzer: A UX Approach to Usefulness and User Satisfaction

Liana-Dorina Møsbæk; Thomas Bjørner

doi:10.23919/iLRN55037.2022.9815890

An Augmented Reality Training Application for Service and Maintenance of a Medical Analyzer: A UX Approach to Usefulness and User Satisfaction

Liana-Dorina Møsbæk, Thomas Bjørner ^*

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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Abstract

This paper presents an experimental study on a mobile augmented reality application for immersive training of field engineers in service and maintenance of a medical analyzer (AQT90FLEX). Based on approaches from user experience design, we developed an AR training application with the aim of high level of relevance, ease of use, usefulness, user satisfaction, and learnability. Sixteen field engineers from the multinational company Radiometer participated in the study. The procedure was divided into three iterative stages: design, prototype, and evaluation. The methods consisted of questionnaires, interviews, and co-creation. The questionnaire was inspired by the technology acceptance model. The findings revealed that all the field engineers expressed positive feedback in terms of being able to see, train, and practice on the AQT90FLEX analyzer. Especially the usefulness and user satisfaction were positively evaluated. This study also shows the importance of using mixed methods, both qualitative and quantitative approaches, in order to develop an AR training application for field engineers across the world.

Original language	English
Title of host publication	Proceedings of 2022 8th International Conference of the Immersive Learning Research Network, iLRN 2022
Editors	Andreas Dengel, Marie-Luce Bourguet, Daniela Pedrosa, James Hutson, Kai Erenli, Daphne Economou, Anasol Pena-Rios, Jonathon Richter
Number of pages	8
Publisher	IEEE
Publication date	2022
ISBN (Print)	978-1-6654-8283-7
ISBN (Electronic)	978-1-7348995-3-5
DOIs	https://doi.org/10.23919/iLRN55037.2022.9815890
Publication status	Published - 2022
Event	8th International Conference of the Immersive Learning Research Network, iLRN 2022 - Virtual, Vienna, Austria Duration: 30 May 2022 → 4 Jun 2022

Conference

Conference	8th International Conference of the Immersive Learning Research Network, iLRN 2022
Country/Territory	Austria
City	Virtual, Vienna
Period	30/05/2022 → 04/06/2022
Sponsor	FH University of Applied Sciences, BFI Vienna, Graz University of Technology, Virbela

Bibliographical note

Publisher Copyright:
© 2022 Immersive Learning Research Network.

Keywords

Augmented Reality
content analysis
medical analyzer
technology acceptance
UX

Access to Document

10.23919/iLRN55037.2022.9815890

Accepted author manuscriptAccepted author manuscript, 431 KB

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Møsbæk, L-D., & Bjørner , T. (2022). An Augmented Reality Training Application for Service and Maintenance of a Medical Analyzer: A UX Approach to Usefulness and User Satisfaction. In A. Dengel, M-L. Bourguet, D. Pedrosa, J. Hutson, K. Erenli, D. Economou, A. Pena-Rios, & J. Richter (Eds.), Proceedings of 2022 8th International Conference of the Immersive Learning Research Network, iLRN 2022 IEEE. https://doi.org/10.23919/iLRN55037.2022.9815890

Møsbæk, Liana-Dorina ; Bjørner , Thomas. / An Augmented Reality Training Application for Service and Maintenance of a Medical Analyzer : A UX Approach to Usefulness and User Satisfaction. Proceedings of 2022 8th International Conference of the Immersive Learning Research Network, iLRN 2022. editor / Andreas Dengel ; Marie-Luce Bourguet ; Daniela Pedrosa ; James Hutson ; Kai Erenli ; Daphne Economou ; Anasol Pena-Rios ; Jonathon Richter. IEEE, 2022.

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title = "An Augmented Reality Training Application for Service and Maintenance of a Medical Analyzer: A UX Approach to Usefulness and User Satisfaction",

abstract = "This paper presents an experimental study on a mobile augmented reality application for immersive training of field engineers in service and maintenance of a medical analyzer (AQT90FLEX). Based on approaches from user experience design, we developed an AR training application with the aim of high level of relevance, ease of use, usefulness, user satisfaction, and learnability. Sixteen field engineers from the multinational company Radiometer participated in the study. The procedure was divided into three iterative stages: design, prototype, and evaluation. The methods consisted of questionnaires, interviews, and co-creation. The questionnaire was inspired by the technology acceptance model. The findings revealed that all the field engineers expressed positive feedback in terms of being able to see, train, and practice on the AQT90FLEX analyzer. Especially the usefulness and user satisfaction were positively evaluated. This study also shows the importance of using mixed methods, both qualitative and quantitative approaches, in order to develop an AR training application for field engineers across the world.",

keywords = "Augmented Reality, content analysis, medical analyzer, technology acceptance, UX",

author = "Liana-Dorina M{\o}sb{\ae}k and Thomas Bj{\o}rner",

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year = "2022",

doi = "10.23919/iLRN55037.2022.9815890",

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Møsbæk, L-D & Bjørner , T 2022, An Augmented Reality Training Application for Service and Maintenance of a Medical Analyzer: A UX Approach to Usefulness and User Satisfaction. in A Dengel, M-L Bourguet, D Pedrosa, J Hutson, K Erenli, D Economou, A Pena-Rios & J Richter (eds), Proceedings of 2022 8th International Conference of the Immersive Learning Research Network, iLRN 2022. IEEE, 8th International Conference of the Immersive Learning Research Network, iLRN 2022, Virtual, Vienna, Austria, 30/05/2022. https://doi.org/10.23919/iLRN55037.2022.9815890

An Augmented Reality Training Application for Service and Maintenance of a Medical Analyzer: A UX Approach to Usefulness and User Satisfaction. / Møsbæk, Liana-Dorina; Bjørner , Thomas.
Proceedings of 2022 8th International Conference of the Immersive Learning Research Network, iLRN 2022. ed. / Andreas Dengel; Marie-Luce Bourguet; Daniela Pedrosa; James Hutson; Kai Erenli; Daphne Economou; Anasol Pena-Rios; Jonathon Richter. IEEE, 2022.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - An Augmented Reality Training Application for Service and Maintenance of a Medical Analyzer

T2 - 8th International Conference of the Immersive Learning Research Network, iLRN 2022

AU - Møsbæk, Liana-Dorina

AU - Bjørner , Thomas

PY - 2022

Y1 - 2022

N2 - This paper presents an experimental study on a mobile augmented reality application for immersive training of field engineers in service and maintenance of a medical analyzer (AQT90FLEX). Based on approaches from user experience design, we developed an AR training application with the aim of high level of relevance, ease of use, usefulness, user satisfaction, and learnability. Sixteen field engineers from the multinational company Radiometer participated in the study. The procedure was divided into three iterative stages: design, prototype, and evaluation. The methods consisted of questionnaires, interviews, and co-creation. The questionnaire was inspired by the technology acceptance model. The findings revealed that all the field engineers expressed positive feedback in terms of being able to see, train, and practice on the AQT90FLEX analyzer. Especially the usefulness and user satisfaction were positively evaluated. This study also shows the importance of using mixed methods, both qualitative and quantitative approaches, in order to develop an AR training application for field engineers across the world.

AB - This paper presents an experimental study on a mobile augmented reality application for immersive training of field engineers in service and maintenance of a medical analyzer (AQT90FLEX). Based on approaches from user experience design, we developed an AR training application with the aim of high level of relevance, ease of use, usefulness, user satisfaction, and learnability. Sixteen field engineers from the multinational company Radiometer participated in the study. The procedure was divided into three iterative stages: design, prototype, and evaluation. The methods consisted of questionnaires, interviews, and co-creation. The questionnaire was inspired by the technology acceptance model. The findings revealed that all the field engineers expressed positive feedback in terms of being able to see, train, and practice on the AQT90FLEX analyzer. Especially the usefulness and user satisfaction were positively evaluated. This study also shows the importance of using mixed methods, both qualitative and quantitative approaches, in order to develop an AR training application for field engineers across the world.

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KW - content analysis

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KW - technology acceptance

KW - UX

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DO - 10.23919/iLRN55037.2022.9815890

M3 - Article in proceeding

AN - SCOPUS:85134721994

SN - 978-1-6654-8283-7

BT - Proceedings of 2022 8th International Conference of the Immersive Learning Research Network, iLRN 2022

A2 - Dengel, Andreas

A2 - Bourguet, Marie-Luce

A2 - Pedrosa, Daniela

A2 - Hutson, James

A2 - Erenli, Kai

A2 - Economou, Daphne

A2 - Pena-Rios, Anasol

A2 - Richter, Jonathon

PB - IEEE

Y2 - 30 May 2022 through 4 June 2022

ER -

Møsbæk L-D, Bjørner T. An Augmented Reality Training Application for Service and Maintenance of a Medical Analyzer: A UX Approach to Usefulness and User Satisfaction. In Dengel A, Bourguet M-L, Pedrosa D, Hutson J, Erenli K, Economou D, Pena-Rios A, Richter J, editors, Proceedings of 2022 8th International Conference of the Immersive Learning Research Network, iLRN 2022. IEEE. 2022 doi: 10.23919/iLRN55037.2022.9815890

An Augmented Reality Training Application for Service and Maintenance of a Medical Analyzer: A UX Approach to Usefulness and User Satisfaction

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Keywords

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