2008 7th IEEE/ACM International Symposium on Mixed and Augmented Reality 2008
DOI: 10.1109/ismar.2008.4637330
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Mobile Augmented Reality in industrial applications: Approaches for solution of user-related issues

Abstract: Augmented Reality (AR) uses computer-generated virtual information to enhance the user's information access. While numerous previous studies have demonstrated the large potential of AR to improve industrial processes by enhancing product quality and reducing production times it is still unclear if and how long term usage of such AR technology produces stress and strain. This paper presents an approach to use the analysis of Heart Rate Variability to objectively measure current user strain during different work… Show more

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Cited by 44 publications
(32 citation statements)
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“…However, more work is required to reconcile strain reductions afforded by reduced head and neck movement with the added strain of wearing a HWD. A technique proposed by Tümler and collegues [29], which uses heart rate variability to measure strain, could be useful for this analysis.…”
Section: Discussionmentioning
confidence: 99%
“…However, more work is required to reconcile strain reductions afforded by reduced head and neck movement with the added strain of wearing a HWD. A technique proposed by Tümler and collegues [29], which uses heart rate variability to measure strain, could be useful for this analysis.…”
Section: Discussionmentioning
confidence: 99%
“…However, more work is required to reconcile strain reductions resulting from less movement with the added strain of wearing a HWD. A technique proposed by Tü mler et al [36], which uses heart rate variability to measure strain, could be useful for this analysis.…”
Section: Lessons Learnedmentioning
confidence: 99%
“…Macchiarella and Vincenzi (2004), De Crescenzio et al (2011), Rios, Hincapié, Caponio, Mercado, and Mendívil (2011), and Haritos and Macchiarella (2005 all reported on AR systems for aeronautical or aerospace maintenance training. The other studies on AR systems for IMA tasks do not address training, but the use of AR as an guidance tool compared to traditional guidance tools such as textbooks (Andersen, Andersen, Larsen, Moeslund, & Madsen, 2009;Henderson & Feiner, 2011a, 2011bKlinker et al 2001;Tang, Owen, Biocca, & Mou, 2003;Tumler et al, 2008;Wiedenmaier, Oehme, Schnidt, & Luczak, 2003;Yuan, Ong, & Nee, 2008).…”
Section: Introductionmentioning
confidence: 99%