@inbook{28be0c2d6a5948388fe551dae343f6f3,
title = "Using a Pneumatic Tactile Steering Wheel to Enhance the Multi-Modal Takeover Request In Smart Vehicle",
abstract = "Haptic interactions enhance user experiences on smart devices. As smart vehicles advance, In-Vehicle Interaction (IVI) has gained focus, especially multi-modal interactions for safe and trusted automation. This paper introduces a pneumatic Human-Vehicle Interaction (HVI) interface integrated into a steering wheel to improve driver-vehicle communication via tactile feedback. A Logitech G27 steering wheel was modified with Pneumatic Tactile Silicon Sac (PTSS) to convey warnings through air cell adjustments. Our study covers the development of the Pneumatic Tactile Steering Wheel and a Multi-Modal HVI system with visual, audio, and haptic elements for seamless transitions from autonomous to manual driving. Simulation results show the Visual-Audio-Haptic takeover request (TOR) improves driver takeover performance and trust in L2 autonomous vehicles (AVs).",
author = "Zhegong Shangguan and Yang Liu and Le Song and Tingcheng Li and Adriana Tapus",
year = "2024",
month = dec,
day = "25",
doi = "10.1007/978-981-97-8963-4\_12",
language = "English",
isbn = "9789819789627",
series = " Lecture Notes in Computer Science ((LNAI,volume 14916))",
publisher = "Springer Nature",
pages = "122–132",
editor = "\{Shuzhi Sam Ge\} and \{ Zhuojing Luo\} and \{Yanen Wang\} and \{Hooman Samani\} and \{ Ruihang Ji\} and \{Hongsheng He\}",
booktitle = "Social Robotics:",
address = "United States",
}