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Interaction with Automated Heavy Vehicles Using Gestures and External Interfaces in Underground Mines
RISE Research Institutes of Sweden, Digitala system, Prototypande samhälle.ORCID-id: 0000-0001-6134-4745
Scania AB, Sweden.ORCID-id: 0000-0001-9645-6990
RISE Research Institutes of Sweden.ORCID-id: 0000-0002-7569-2369
RISE Research Institutes of Sweden, Digitala system, Prototypande samhälle.ORCID-id: 0000-0002-4289-9427
2023 (Engelska)Ingår i: Proceedings of HCII 2023 (Part of Lecture Notes in Computer Science; 14048), 2023, s. 255-267Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The present study investigated the potential of using gestures to guide and control unmanned automated heavy vehicles in underground mine contexts, as well as the effects of adding external human-machine interfaces (eHMIs) to provide feedback during the gesture interaction. A study with 12 professional operators was conducted in a simulated mine environment, utilizing a Wizard of Oz methodology. The subjects used gestures to guide and control a heavy vehicle in three different scenarios in the mine, and different aspects of the user experience (UX) were assessed. The results support the notion that there is high potential in using gestures when operators stand in close proximity to the vehicles. Moreover, the results suggest that eHMI solutions can enhance the operator’s acceptance and feelings of safety. The selected gestures seemed appropriate for the investigated scenarios, which should be valuable insights for practitioners intending to develop and implement gesture interaction for similar applications.

Ort, förlag, år, upplaga, sidor
2023. s. 255-267
Nationell ämneskategori
Data- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:ri:diva-65754DOI: 10.1007/978-3-031-35678-0_17OAI: oai:DiVA.org:ri-65754DiVA, id: diva2:1786700
Konferens
HCI in Mobility, Transport, and Automotive Systems 5th International Conference, MobiTAS 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023
Tillgänglig från: 2023-08-09 Skapad: 2023-08-09 Senast uppdaterad: 2025-09-23Bibliografiskt granskad

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Fagerlönn, JohanOrrell, LinaRönntoft, Hanna

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Fagerlönn, JohanZhang, YanqingOrrell, LinaRönntoft, Hanna
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Prototypande samhälleRISE Research Institutes of Sweden
Data- och informationsvetenskap

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