AugmenTech: The Usability Evaluation of an AR System for Maintenance in Industry

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Maintenance tasks are common operations in manufacturing environments. However, it is becoming increasingly challenging for companies to recruit personnel with adequate skills and tacit knowledge to perform them. This paper proposes the use of augmented reality (AR) as a solution to provide contextually relevant guidance as a method to upskill a user performing a task. However, implementing a disruptive tool such as AR into the workforce requires considerations for acceptability and compliance amongst employees. AugmenTech is a proposed AR guidance application which was designed and tested with a strong focus on usability. Due to issues with the HoloLens native input modalities in the application area, a tactile input module has been designed and integrated with the system. A mock-up bearing replacement maintenance procedure, based on a real-world use case provided by a local manufacturer, has been designed as a platform for evaluation. Using this task and AugmenTech a between-subjects experiment was conducted, comparing the system with a traditional paper documentation approach. Overall workload, quantified using the NASA-TLX, was similar when using AR. Likewise, the use of AR also had minimal effect on time needed to complete the task. The usability of AugmenTech has been quantified, scoring highly, (M = 79.5, SD = 16.13), using the System Usability Scale (SUS) questionnaire.

Original languageEnglish
Title of host publicationAugmented Reality, Virtual Reality, and Computer Graphics: 7th International Conference (AVR 2020): Proceedings
EditorsLucio Tommaso De Paolis, Patrick Bourdot
PublisherSpringer
Pages284-303
Number of pages20
ISBN (Print)9783030584672
DOIs
Publication statusPublished - 31 Aug 2020
Event7th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, AVR 2020 - Lecce, Italy
Duration: 07 Sep 202010 Sep 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12243 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, AVR 2020
Country/TerritoryItaly
CityLecce
Period07/09/202010/09/2020

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

  • AR training
  • Maintenance
  • Usability testing

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint

Dive into the research topics of 'AugmenTech: The Usability Evaluation of an AR System for Maintenance in Industry'. Together they form a unique fingerprint.

Cite this