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Evaluating Mixed Reality Notifications to Support Excavator Operator Awareness

Fulltext:


Note:

This is the accepted version of the conference paper published at Springer. The final publication is available at Springer via https://doi.org/10.1007/978-3-030-29381-9_44.

Research group:


Publication Type:

Conference/Workshop Paper

Venue:

17th IFIP TC.13 International Conference on Human-Computer Interaction

Publisher:

Springer

DOI:

https://doi.org/10.1007/978-3-030-29381-9_44


Abstract

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.

Bibtex

@inproceedings{Wallmyr5590,
author = {Markus Wallmyr and Taufik Akbar Sitompul and Tobias Holstein and Rikard Lindell},
title = {Evaluating Mixed Reality Notifications to Support Excavator Operator Awareness},
isbn = {978-3-030-29381-9},
note = {This is the accepted version of the conference paper published at Springer. The final publication is available at Springer via https://doi.org/10.1007/978-3-030-29381-9{\_}44.},
pages = {743--762},
month = {August},
year = {2019},
booktitle = {17th IFIP TC.13 International Conference on Human-Computer Interaction},
publisher = {Springer},
url = {http://www.es.mdh.se/publications/5590-}
}