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Evaluating Mixed Reality Notifications to Support Excavator Operator Awareness
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. CrossControl AB, Västerås, Sweden. (Ubiquitous Computing)ORCID iD: 0000-0001-7134-9574
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. CrossControl AB, Västerås, Sweden. (Ubiquitous Computing)
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Hochschule Darmstadt, Darmstadt, Germany. (Ubiquitous Computing)ORCID iD: 0000-0001-6020-1785
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. (Ubiquitous Computing)ORCID iD: 0000-0003-3163-6039
2019 (English)In: 17th IFIP TC 13 International Conference, Paphos, Cyprus, September 2–6, 2019, Proceedings, Part I, Cham: Springer, 2019, Vol. 11746, p. 743-762Conference paper, Published paper (Refereed)
Abstract [en]

Operating heavy vehicles, for instance an excavator, requires a high level of attention to the operation done using the vehicle and awareness of the surroundings. Digital transformation in heavy vehicles aims to improve productivity and user experience, but it can also increase the operators mental load because of a higher demand of attention to instrumentation and controls, subsequently leading to reduced situation awareness. One way to mitigate this, is to display information within the operators’ field of view, which enhances information detectability through quick glances, using mixed reality interfaces. This work explores two types of mixed reality visualizations and compares them to a traditional display setup in a simulated excavator environment. We have utilized eye-tracking glasses to study users’ attention to the task, surrounding awareness, and interfaces, followed by a NASA-RTLX questionnaire to evaluate the users’ reported mental workload. The results indicate benefits for the mixed reality approaches, with lower workload ratings together with an improved rate in detection of presented information.

Place, publisher, year, edition, pages
Cham: Springer, 2019. Vol. 11746, p. 743-762
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 11746
Keywords [en]
Excavator, Head-up display, Heavy-vehicles, Human-vehicle interaction, Mixed reality, Situational awareness
National Category
Computer Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:mdh:diva-45583DOI: 10.1007/978-3-030-29381-9_44Scopus ID: 2-s2.0-85072870944OAI: oai:DiVA.org:mdh-45583DiVA, id: diva2:1361897
Conference
17th IFIP TC13 International Conference on Human-Computer Interaction, INTERACT 2019; Paphos; Cyprus; 2 September 2019 through 6 September 2019
Projects
Immersive Visual Technologies for Safety-critical Applications (ImmerSAFE)ITS-EASY Post Graduate School for Embedded Software and Systems
Funder
EU, Horizon 2020, 764951Available from: 2019-10-17 Created: 2019-10-17 Last updated: 2019-11-18Bibliographically approved

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Publisher's full textScopushttps://link.springer.com/chapter/10.1007/978-3-030-29381-9_44

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Wallmyr, MarkusSitompul, Taufik AkbarHolstein, TobiasLindell, Rikard

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