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Dynamic operator instructions based on augmented reality and rule-based expert systems
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. Univ Skövde, Sweden.
2016 (English)In: RESEARCH AND INNOVATION IN MANUFACTURING: KEY ENABLING TECHNOLOGIES FOR THE FACTORIES OF THE FUTURE - PROCEEDINGS OF THE 48TH CIRP CONFERENCE ON MANUFACTURING SYSTEMS, 2016, 346-351 p.Conference paper (Refereed)Text
Abstract [en]

Augmented reality is currently a hot research topic within manufacturing and a great potential of the technique is seen. This study aims to increase the knowledge of the adaptation and usability of augmented reality for the training of operators. A new approach of using dynamic information content is proposed that is automatically adjusted to the individual operator and his/her learning progress for increased efficiency and shorter learning times. The approach make use of the concept of expert systems from the field of artificial intelligence for determine the information content on-line. A framework called "Augmented Reality Expert System" (ARES) is developed that combines AR and expert systems. A proof-of-concept evaluation of the framework is presented in the paper and possible future extensions are discussed.

Place, publisher, year, edition, pages
2016. 346-351 p.
Series
, Procedia CIRP, ISSN 2212-8271 ; 41
Keyword [en]
Augmented reality, Expert systems, Industrial operator, Information content
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-190533DOI: 10.1016/j.procir.2015.12.113ISI: 000379247600059ScopusID: 2-s2.0-84968830717OAI: oai:DiVA.org:kth-190533DiVA: diva2:952970
Conference
48th CIRP International Conference on Manufacturing Systems (CIRP CMS), JUN 24-26, 2015, Ischia, ITALY
Note

QC 20160816

Available from: 2016-08-16 Created: 2016-08-12 Last updated: 2016-08-16Bibliographically approved

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Wang, Lihui
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ReferencesLink to record
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