Human Machine Interaction Trustin Intelligentand Connected Vehicles: Overview and Perspectives

doi:10.3901/JME.2024.10.366

Abstract

Abstract: Trust is one of the key issues of intelligent connected vehicle human machine interaction(ICV-HMI), which is an important factor affecting the social acceptance, safety and positive user experience of the ICV. Firstly, the concepts related to ICV-HMI trust are defined based on trust research history and the content of ICV-HMI, then, the research framework of ICV-HMI trust is constructed accordingly. Based on the research framework, by analyzing related literature, the current research and application status are summarized in two aspects: trust in the interaction between human and autonomous driving, as well as vehicular networked applications in ICV. Due to the ultimate goal of trust researchin human-machine interaction to calibrate it, the methods are proposed and discussed: constructing trust-influenced mechanisms towards different roles in ICV, measuring dynamic trust during information inputting, and designing ICV-HMI to calibrate trust via information outputting. Accordingtothecalibrationmethods, the key techniques for trust calibration are concluded, those are, the techniques for extracting and characterizing the features of factors shaping trust, the techniques for measuring dynamic trust, the techniques for designing to calibrate trust, and the techniques for assessing the calibration. Ultimately, the future research directions of ICV-HMI trust research are concluded for trust calibration.

Key words: intelligent and connected vehicle, human vehicle interaction, trust, trust calibration, HMI design

CLC Number:

TB47
TP20

TAN Zhengyu, ZHANG Ruifo, LIU Zhizi, JIN Yi, HE Gang. Human Machine Interaction Trustin Intelligentand Connected Vehicles: Overview and Perspectives[J]. Journal of Mechanical Engineering, 2024, 60(10): 366-383.

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