智能网联汽车人机交互信任研究现状与展望

doi:10.3901/JME.2024.10.366

机械工程学报 ›› 2024, Vol. 60 ›› Issue (10): 366-383.doi: 10.3901/JME.2024.10.366

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智能网联汽车人机交互信任研究现状与展望

谭征宇^1,2, 张瑞佛¹, 刘芝孜³, 金奕¹, 贺刚³

1. 湖南大学设计艺术学院长沙 410012;
2. 湖南大学重庆研究院重庆 401135;
3. 重庆长安汽车股份有限公司重庆 401120

收稿日期:2023-07-09 修回日期:2024-01-05 出版日期:2024-05-20 发布日期:2024-07-24
作者简介:谭征宇(通信作者),女,1979年出生,博士,副教授。主要研究方向为人机交互、智慧出行体验。
E-mail:tanzhengyu@hnu.edu.cn
张瑞佛,男,1995年出生,博士研究生。主要研究方向为人机交互,人机信任与出行体验。
E-mail:zhangruifo@hnu.edu.cn
刘芝孜,女,1994年出生,工程师。主要研究方向为智能驾驶、人因工程。
E-mail:liuzz1@changan.com.cn
金奕,男,1996年出生,博士研究生。主要研究方向为人机交互,智慧交通与出行体验。
E-mail:648598703@qq.com
贺刚,男,1985年出生,高级工程师。主要研究方向为智能驾驶、智能座舱、人因工程。
E-mail:hegang@changan.com
基金资助:
教育部人文社会科学研究规划基金(21YJA760059)和麓山实验室研究计划资助项目。

Human Machine Interaction Trustin Intelligentand Connected Vehicles: Overview and Perspectives

TAN Zhengyu^1,2, ZHANG Ruifo¹, LIU Zhizi³, JIN Yi¹, HE Gang³

1. School of Design, Hunan University, Changsha 410012;
2. Research Institute of HUN in Chongqing, Chongqing 401135;
3. Chongqing Changan Automobile Co., Ltd., Chongqing 401120

Received:2023-07-09 Revised:2024-01-05 Online:2024-05-20 Published:2024-07-24

摘要/Abstract

摘要： 信任是智能网联汽车(Intelligent connected vehicle，ICV)人机交互的关键问题之一，是影响ICV社会接受度、安全使用和良好用户体验的重要因素。首先从信任研究发展和ICV人机交互内容阐述ICV人机交互信任内涵和相关概念，构建ICV人机交互信任研究内容框架。基于研究内容框架分析国内外相关文献，从ICV自动驾驶交互信任、ICV网联应用交互信任两个方面总结当前研究、应用现状。人机交互信任研究最终旨在实现信任校准，因此探讨ICV人机交互信任校准方法：构建不同角色的交互信任影响机制、面向信息输入的动态信任测量、面向信息输出的ICV-HMI信任校准设计。根据信任校准方法，总结实现信任校准所需的关键技术：信任影响因素的提取和表征技术、信任动态测量技术、信任校准设计技术、信任校准评价技术。最后针对ICV人机交互信任校准，提出ICV人机交互信任未来研究趋势并进行展望。

关键词: 智能网联汽车, 汽车人机交互, 信任, 信任校准, HMI设计

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

中图分类号:

TB47
TP20

谭征宇, 张瑞佛, 刘芝孜, 金奕, 贺刚. 智能网联汽车人机交互信任研究现状与展望[J]. 机械工程学报, 2024, 60(10): 366-383.

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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智能网联汽车人机交互信任研究现状与展望

Human Machine Interaction Trustin Intelligentand Connected Vehicles: Overview and Perspectives

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