While conversational AI agents (CAs) have the potential to support drivers through hands-free and eyes-free interaction, their role in long-haul trucking remains unexplored. This paper investigates how long-haul truck drivers perceive CAs and identifies design considerations for their successful deployment. We conducte...
Johanna Vännström, Andreas Absér, Azra Habibovic et al.· Adjunct Proceedings of the 1...· 0 citations
Current AI-based conversational agents (CAs) largely lack situational awareness, limiting their ability to understand driving context, driver state, and immediate driver needs. Consequently, the use of CA may increase drivers’ cognitive load and impair safety and user experience. This study investigates the role of sit...
Johanna Vännström, Andreas Absér, Jacob Weilandt et al.· Adjunct Proceedings of the 1...· 0 citations
Navigating unregulated intersections with a heavy vehicle is a challenging task harboring significant risks for the vehicle itself and other traffic participants. In this study we introduce a dynamic, evidence-based risk assessment algorithm predicting increased general risk at upcoming intersections based on environme...
Joe Steinhauer, Andreas Absér, Yacine Atif et al.· Adjunct Proceedings of the 1...· 0 citations
Navigating unregulated intersections with a heavy vehicle is a challenging task harboring significant risks for the vehicle itself and other traffic participants. In this study we introduce a dynamic, evidence-based risk assessment algorithm predicting increased general risk at upcoming intersections based on environme...
Joe Steinhauer, Andreas Absér, Yacine Atif et al.· Adjunct Proceedings of the 1...· 0 citations
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