Using a Pneumatic Tactile Steering Wheel to Enhance the Multi-Modal Takeover Request In Smart Vehicle

Zhegong Shangguan; Yang Liu; Le Song; Tingcheng Li; Adriana Tapus

doi:10.1007/978-981-97-8963-4_12

Using a Pneumatic Tactile Steering Wheel to Enhance the Multi-Modal Takeover Request In Smart Vehicle

Zhegong Shangguan
, Yang Liu
, Le Song
, Tingcheng Li
, Adriana Tapus

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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).

Original language	English
Title of host publication	Social Robotics - 16th International Conference, ICSR + BioMed 2024, Proceedings
Editors	Shuzhi Sam Ge, Ruihang Ji, Zhuojing Luo, Yanen Wang, Hooman Samani, Hongsheng He
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	122-132
Number of pages	11
ISBN (Print)	9789819789627
DOIs	https://doi.org/10.1007/978-981-97-8963-4_12
Publication status	Published - 1 Jan 2025
Event	16th International Conference on Social Robotics, ICSR + BioMed 2024 - Singapore, Singapore Duration: 16 Aug 2024 → 18 Aug 2024

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14916 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on Social Robotics, ICSR + BioMed 2024
Country/Territory	Singapore
City	Singapore
Period	16/08/24 → 18/08/24

Keywords

Autonomous vehicle
Bio-inspired interface
Human-vehicle interaction
Takeover request

Access to Document

10.1007/978-981-97-8963-4_12

Cite this

Shangguan, Z., Liu, Y., Song, L., Li, T., & Tapus, A. (2025). Using a Pneumatic Tactile Steering Wheel to Enhance the Multi-Modal Takeover Request In Smart Vehicle. In S. S. Ge, R. Ji, Z. Luo, Y. Wang, H. Samani, & H. He (Eds.), Social Robotics - 16th International Conference, ICSR + BioMed 2024, Proceedings (pp. 122-132). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14916 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-8963-4_12

Shangguan, Zhegong ; Liu, Yang ; Song, Le et al. / Using a Pneumatic Tactile Steering Wheel to Enhance the Multi-Modal Takeover Request In Smart Vehicle. Social Robotics - 16th International Conference, ICSR + BioMed 2024, Proceedings. editor / Shuzhi Sam Ge ; Ruihang Ji ; Zhuojing Luo ; Yanen Wang ; Hooman Samani ; Hongsheng He. Springer Science and Business Media Deutschland GmbH, 2025. pp. 122-132 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{275a704d95d14aba9fd2fa3e91d493c3,

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).",

keywords = "Autonomous vehicle, Bio-inspired interface, Human-vehicle interaction, Takeover request",

author = "Zhegong Shangguan and Yang Liu and Le Song and Tingcheng Li and Adriana Tapus",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 16th International Conference on Social Robotics, ICSR + BioMed 2024 ; Conference date: 16-08-2024 Through 18-08-2024",

year = "2025",

month = jan,

day = "1",

doi = "10.1007/978-981-97-8963-4\_12",

language = "English",

isbn = "9789819789627",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "122--132",

editor = "Ge, \{Shuzhi Sam\} and Ruihang Ji and Zhuojing Luo and Yanen Wang and Hooman Samani and Hongsheng He",

booktitle = "Social Robotics - 16th International Conference, ICSR + BioMed 2024, Proceedings",

}

Shangguan, Z, Liu, Y, Song, L, Li, T & Tapus, A 2025, Using a Pneumatic Tactile Steering Wheel to Enhance the Multi-Modal Takeover Request In Smart Vehicle. in SS Ge, R Ji, Z Luo, Y Wang, H Samani & H He (eds), Social Robotics - 16th International Conference, ICSR + BioMed 2024, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14916 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 122-132, 16th International Conference on Social Robotics, ICSR + BioMed 2024, Singapore, Singapore, 16/08/24. https://doi.org/10.1007/978-981-97-8963-4_12

Using a Pneumatic Tactile Steering Wheel to Enhance the Multi-Modal Takeover Request In Smart Vehicle. / Shangguan, Zhegong; Liu, Yang; Song, Le et al.
Social Robotics - 16th International Conference, ICSR + BioMed 2024, Proceedings. ed. / Shuzhi Sam Ge; Ruihang Ji; Zhuojing Luo; Yanen Wang; Hooman Samani; Hongsheng He. Springer Science and Business Media Deutschland GmbH, 2025. p. 122-132 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14916 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Using a Pneumatic Tactile Steering Wheel to Enhance the Multi-Modal Takeover Request In Smart Vehicle

AU - Shangguan, Zhegong

AU - Liu, Yang

AU - Song, Le

AU - Li, Tingcheng

AU - Tapus, Adriana

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

PY - 2025/1/1

Y1 - 2025/1/1

N2 - 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).

AB - 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).

KW - Autonomous vehicle

KW - Bio-inspired interface

KW - Human-vehicle interaction

KW - Takeover request

U2 - 10.1007/978-981-97-8963-4_12

DO - 10.1007/978-981-97-8963-4_12

M3 - Conference contribution

AN - SCOPUS:85214367134

SN - 9789819789627

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 122

EP - 132

BT - Social Robotics - 16th International Conference, ICSR + BioMed 2024, Proceedings

A2 - Ge, Shuzhi Sam

A2 - Ji, Ruihang

A2 - Luo, Zhuojing

A2 - Wang, Yanen

A2 - Samani, Hooman

A2 - He, Hongsheng

PB - Springer Science and Business Media Deutschland GmbH

T2 - 16th International Conference on Social Robotics, ICSR + BioMed 2024

Y2 - 16 August 2024 through 18 August 2024

ER -

Shangguan Z, Liu Y, Song L, Li T, Tapus A. Using a Pneumatic Tactile Steering Wheel to Enhance the Multi-Modal Takeover Request In Smart Vehicle. In Ge SS, Ji R, Luo Z, Wang Y, Samani H, He H, editors, Social Robotics - 16th International Conference, ICSR + BioMed 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2025. p. 122-132. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-981-97-8963-4_12