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Evaluating Mixed Reality Notifications to Support Excavator Operator Awareness

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.
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Submitted on : Thursday, April 16, 2020 - 2:27:41 PM
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Markus Wallmyr, Taufik Sitompul, Tobias Holstein, Rikard Lindell. Evaluating Mixed Reality Notifications to Support Excavator Operator Awareness. 17th IFIP Conference on Human-Computer Interaction (INTERACT), Sep 2019, Paphos, Cyprus. pp.743-762, ⟨10.1007/978-3-030-29381-9_44⟩. ⟨hal-02544533⟩

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