Saeedeh Mosaferchi
Papers
1
Total Citations
2
H-Index
1
About
Saeedeh Mosaferchi’s research lies at the compelling intersection of human factors, automated driving, and human-machine interaction, with a particular focus on designing safer, more trustworthy autonomous vehicle interfaces. Her major contributions center on empirically comparing novel design interventions—specifically, anthropomorphic and biophilic interfaces—to enhance driver trust and performance in automated vehicles. In her highly cited 2025 study, she conducted a rigorous within-subjects experiment with 30 participants, demonstrating how these interface strategies can significantly improve user experience and safety in simulated driving scenarios. This work has already garnered 2 citations shortly after publication, signaling its growing influence in the field of automotive human factors. Mosaferchi’s research is notable for bridging psychological theory with practical engineering design, offering evidence-based guidelines for creating more intuitive and reassuring autonomous systems. Her findings are particularly valuable for students and researchers exploring how interface design can mitigate the “trust gap” in automation, making her a rising voice in the effort to make self-driving technology both safer and more acceptable to the public.
Research Focus
Key Achievements
Top Papers
- 1