Martina Schuß,
"Inclusive Human-Machine Interfaces to Increase Perceived Security in Shared Automated Vehicles"
, 5-2024
Original Titel:
Inclusive Human-Machine Interfaces to Increase Perceived Security in Shared Automated Vehicles
Sprache des Titels:
Englisch
Original Kurzfassung:
Shared automated vehicles (SAVs; SAE level 5) are expected to be beneficial for environment and society, while facing substantial challenges regarding acceptance, human factors, and user experience, with perceived security as the foremost concern. In addressing these hurdles, it is crucial to engage users from the early stages of research by applying the human-centered design (HCD) process to improve perceived security in and consequently the adoption of SAVs. Currently, research and development excludes certain demographics resulting in a data bias and emphasizing the necessity of inclusive research involving diverse groups. This thesis argues for employing suitable methodologies to engage with a broad spectrum of individuals during research processes while focusing on the demographics age, gender, and cultural background. We adopt feminist HCI and HCD to explore the potential of human-machine interfaces (HMIs) to mitigate perceived security in SAVs using straightforward methods. We conceptualize and implement HMI concepts and evaluate them using a mixed-methods approach?combining simulated study settings implemented in virtual reality (VR) or using video-based prototyping with questionnaires and interviews?assessing the advantages of in-vehicle HMIs for SAVs for increasing perceived security. Our findings contribute to the field of HCI research in the area of SAVs with concrete design and interaction solutions. We introduce digital companions for SAVs, discuss solutions and their potential negative side-effects through a feminist HCI lens, and present a validated scale to effectively measure perceived security within SAVs. The results serve as a guidance for researchers and practitioners to develop inclusive and appropriate interfaces for SAVs.
Forschungs-