Sep 2026· Proceedings of the 18th International Conference on Automotive User Interfaces and Interactive Vehicular Applications· 0 citations· 48 references
Abstract
Research has proposed a variety of cooperative systems that allow drivers to participate in the driving task. While previous work shows that such interfaces can improve user experience, trust, and acceptance, reasons for their effectiveness remain unclear. This paper investigates the effect of different components of autonomy. By operationalizing positive liberty (condition to act upon self-endorsed values) and negative liberty (condition to act without external restrictions) in a vignette study (N=155), we show that differences between automated and manual driving do not emerge from the inherent properties of these concepts but mostly from perceived positive liberty, which seems to be the strongest predictor of willingness to use and psychological need fulfillment. Task allocation and study results indicate that drivers value being included in tactical and strategic decision-making over operational control. These findings suggest that designing for decision authority, rather than control, is key to user acceptance in automated driving.
Artificial intelligence (AI) is increasingly integrated into vehicles, but drivers’ acceptance may depend on how these systems communicate, share control, intervene for safety, and handle data. This study used two focus groups with 13 licensed young adult drivers to examine their current use of in-vehicle technologies...
Camille Santos, Guan-Nan Liu, Yue Luo et al.· Proceedings of the Human Fac...· 0 citations
Introduction Although autonomous driving technology has advanced, limited public acceptance remains a major barrier. Moving beyond studies focused on isolated design domains, this study examined whether the perceived typicality of stylistic cues across automated driving behavior, vehicle interior design, and human–mach...
Jing Pan, Yang Qin, Yan Zhu et al.· Frontiers in Psychology· 0 citations
Driver assistance has become a safety‐critical, personalizable support system in which perception and control are coupled to driver monitoring, human–machine interfaces (HMI), while being shaped by regulatory requirements. As the sensing, perception, and control foundations of advanced driver‐assistance systems (ADAS)...
Jana Skirnewskaja, Mardavij Roozbehani, M. Dahleh· Advanced Intelligent Systems· 0 citations
As autonomous-driving systems take on increasing control authority, drivers are repositioned as human supervisors who must monitor decisions they did not make. Yet, today’s in-vehicle interfaces expose only the system’s final actions, leaving its underlying perception and reasoning invisible — a structural information...
Su-Zie Choi, Jinhyeong Kim, Sehee Lee et al.· Adjunct Proceedings of the 1...· 0 citations
Drivers’ trust in conditionally automated vehicles (AVs) is a critical concept affecting voluntary takeover behavior. However, few studies have examined how long drivers manually control an AV before re-activating the automation as a function of their level of trust. This study investigated the distribution of time in...
Myeongkyu Lee, Brandon J. Pitts· Proceedings of the Human Fac...· 0 citations
Aerospace technologies represent some of the most advanced innovations of the modern age. Artificial Intelligence (AI) has become a transformative force in this sector, paving the way for a future where fully autonomous aircraft may carry out air transport. This possibility also brings with it socio-technical challenge...
Cemal Durmuşçelebi· Havacılık ve Uzay Çalışmalar...· 0 citations
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