Manhua Wang
Papers
2
Total Citations
60
H-Index
2
About
Manhua Wang investigates the intersection of human-computer interaction and autonomous driving, focusing on how in-vehicle intelligent agents (IVIAs) shape driver experience and safety. Her research explores the nuanced effects of agent speech style and embodiment on user trust, performance, and acceptance in automated vehicles. In her highly cited 2021 study (40 citations), Wang demonstrated that the combination of conversational speech and physical embodiment significantly enhances driver-agent interaction, while her 2022 work (20 citations) established that conversational voice agents improve driving performance and are preferred by users in conditionally automated vehicles. These contributions are critical for designing IVIAs that balance information delivery with distraction mitigation, addressing key challenges in human-automation interaction. Wang’s findings inform the development of safer, more intuitive autonomous vehicle interfaces, making her a notable voice in automotive UX research. Her work is widely referenced by scholars and practitioners aiming to optimize driver-agent communication, and she continues to shape best practices for agent design in emerging mobility technologies.
Research Focus
Key Achievements
Top Papers
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