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Designing an on-board human-machine-interface using ambient light cues for motion sickness mitigation in highly automated vehicles - a human-centered design approach

Hainich, Rebecca (2020) Designing an on-board human-machine-interface using ambient light cues for motion sickness mitigation in highly automated vehicles - a human-centered design approach. Bachelorarbeit.

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Kurzfassung

This thesis investigated an internal Human-Machine Interface (iHMI) for motion sickness mitigation in highly automated vehicles. Past research has demonstrated that highly automated vehicles have a high potency to evoke motion sickness (MS), a common syndrome prevalent in different forms of transportation. A MS mitigation strategy was developed based on current theories on its pathology, research on the modulating factor anticipation and different previously explored mitigation strategies. An iHMI following user-centered design principles was introduced utilizing anticipatory ambient light cues. In an online study, participants (N = 43) evaluated different communication designs of the iHMI on user experience. Different communication strategies were evaluated regarding visibility and information quality during varying states of visual attention. Significant effects were found, illustrating an increase in visibility and information quality during conditions with an active communication strategy compared to Baseline. These effects were present even while the participants were distracted with a visual task. The iHMI was effective in providing the participants with anticipatory information.

elib-URL des Eintrags:https://elib.dlr.de/139180/
Dokumentart:Hochschulschrift (Bachelorarbeit)
Titel:Designing an on-board human-machine-interface using ambient light cues for motion sickness mitigation in highly automated vehicles - a human-centered design approach
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Hainich, RebeccaUniversität WürzburgNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2020
Referierte Publikation:Nein
Open Access:Nein
Seitenanzahl:63
Status:veröffentlicht
Stichwörter:Psychology, Human-Machine Interface, Human-Machine Interaction, Motion Sickness, Automated Driving, Comfort, UX, User Acceptance
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Verkehrssystem
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V VS - Verkehrssystem
DLR - Teilgebiet (Projekt, Vorhaben):V - Energie und Verkehr (alt)
Standort: Braunschweig
Institute & Einrichtungen:Institut für Verkehrssystemtechnik > Fahrzeugfunktionsentwicklung
Hinterlegt von: Oehl, Dr. Michael
Hinterlegt am:08 Dez 2020 12:30
Letzte Änderung:08 Dez 2020 12:30

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