%0 Conference Proceedings
%T Evaluating Mixed Reality Notifications to Support Excavator Operator Awareness
%+ Mälardalen University (MDH)
%+ CrossControl AB
%+ Hochschule Darmstadt
%A Wallmyr, Markus
%A Sitompul, Taufik, Akbar
%A Holstein, Tobias
%A Lindell, Rikard
%Z Part 9: Design Principles for Safety/Critical Systems
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 17th IFIP Conference on Human-Computer Interaction (INTERACT)
%C Paphos, Cyprus
%Y David Lamas
%Y Fernando Loizides
%Y Lennart Nacke
%Y Helen Petrie
%Y Marco Winckler
%Y Panayiotis Zaphiris
%I Springer International Publishing
%3 Human-Computer Interaction – INTERACT 2019
%V LNCS-11746
%N Part I
%P 743-762
%8 2019-09-02
%D 2019
%R 10.1007/978-3-030-29381-9_44
%K Mixed reality
%K Human-vehicle interaction
%K Situational awareness
%K Head-up display
%K Excavator
%K Heavy-vehicles
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 13
%2 https://inria.hal.science/hal-02544533/document
%2 https://inria.hal.science/hal-02544533/file/486811_1_En_44_Chapter.pdf
%L hal-02544533
%U https://inria.hal.science/hal-02544533
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC13
%~ IFIP-INTERACT
%~ IFIP-LNCS-11746