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Xiaolin He

Delft University of Technology

Stevinweg 1

Stevinweg 1

Delft, 2628 CN

Netherlands

  • Delft University of Technology

SCHOLARLY PAPERS

3

DOWNLOADS

196

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Designing User Interfaces for Partially Automated Vehicles: Effects of Information and Modality on Trust and Acceptance

Number of pages: 22 Posted: 11 Apr 2023
Soyeon Kim, Xiaolin He, René van Egmond and Riender Happee
Delft University of Technology, Delft University of Technology, Delft University of Technology and Delft University of Technology
Downloads 103 (674,591)

Abstract:

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user interface, automated vehicles, transparency, trust, perceived risk, acceptance

2.

Exploring the Factors of Perceived Safety and Trust in SAE Level 2 Partially Automated Cars Using Principal Component Analysis

Number of pages: 26 Posted: 07 Jul 2022
Sina Nordhoff, Jork Stapel, Xiaolin He, Alexandre Gentner and Riender Happee
Delft University of Technology, Delft University of Technology, Delft University of Technology, affiliation not provided to SSRN and Delft University of Technology
Downloads 80 (803,225)

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Partial automation, system performance, disengagement, perceived safety, trust, personality

3.

An Empirical Model of Driver Workload Dynamics at Unsignalized Intersections

Number of pages: 34 Posted: 29 May 2026
Yiyun Wang, Irene Martínez, Wouter Schakel, Christer Ahlström, Xiaolin He, Fredrik Johansson, Simeon C. Calvert, Johan Olstam and Hans van Lint
Delft University of Technology, Delft University of Technology, Delft University of Technology, Swedish National Road and Transport Research Institute, Delft University of Technology, Swedish National Road and Transport Research Institute, Delft University of Technology - Department of Transport and Planning, Faculty of Civil Engineering and Geosciences, Swedish National Road and Transport Research Institute and Delft University of Technology
Downloads 13 (1,534,404)

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Driver workload, Driving behavior model, Traffic simulation, Task demand, Driving simulator, Mixed traffic safety assessment