摘要
随着智能驾驶技术的快速发展，人机交互设计成为提升驾驶安全性与用户体验的关键环节。本研究聚焦汽车智能驾驶辅助系统中的人机交互问题，旨在通过优化交互设计提高驾驶员对系统的信任度和操作效率。研究首先分析了当前智能驾驶辅助系统在信息呈现、交互方式及反馈机制等方面的不足，并结合认知心理学与人因工程理论，提出了一种基于多模态交互的新型设计方案。该方案整合视觉、听觉与触觉反馈，构建了动态适应性界面以匹配不同驾驶场景的需求。研究采用实验验证的方法，通过模拟驾驶环境收集驾驶员的行为数据与主观评价，结果表明所提出的交互设计显著提升了信息传递的准确性和驾驶员的操作响应速度。此外，系统在复杂场景下的可用性与可靠性也得到了明显改善。本研究的主要创新点在于引入情境感知算法优化交互流程，并首次将情感化设计融入智能驾驶辅助系统，从而增强了人机协作的和谐性。研究成果为未来智能驾驶辅助系统的设计提供了理论支持和技术参考，具有重要的实践意义和应用价值。
关键词：智能驾驶辅助系统；人机交互设计；多模态反馈
Abstract
With the rapid development of intelligent driving technology, human-computer interaction (HCI) design has become a critical factor in enhancing driving safety and user experience. This study focuses on HCI issues in automotive intelligent driving assistance systems, aiming to improve drivers' trust and operational efficiency through optimized interaction design. Initially, the research analyzes the deficiencies of current intelligent driving assistance systems in terms of information presentation, interaction methods, and feedback mechanisms. By integrating cognitive psychology and human factors engineering theories, a novel design scheme based on multimodal interaction is proposed. This scheme combines visual, auditory, and haptic feedback to construct a dynamically adaptive interface that aligns with the requirements of various driving scenarios. The study employs an experimental validation approach, collecting behavioral data and subjective evaluations from drivers in a simulated driving environment. The results demonstrate that the proposed interaction design significantly enhances the accuracy of information transmission and accelerates drivers' operational response times. Furthermore, the system's usability and reliability in complex scenarios have been notably improved. A major innovation of this research lies in the introduction of context-aware algorithms to optimize interaction processes, as well as the first integration of emotional design into intelligent driving assistance systems, thereby enhancing the harmony of human-machine collaboration. The findings provide theoretical support and technical references for the future design of intelligent driving assistance systems, showcasing significant practical implications and application value.
Keywords：Intelligent Driving Assistance System; Human-Machine Interaction Design; Multi-Modal Feedbac
目 录
摘要 I
Abstract II
一、绪论 1
(一) 智能驾驶辅助系统的发展背景 1
(二) 人机交互设计的研究意义 1
(三) 当前研究现状与挑战 1
(四) 本文研究方法与结构安排 2
二、智能驾驶辅助系统的人机交互需求分析 2
(一) 用户行为与心理特征研究 2
(二) 不同驾驶场景下的交互需求 3
(三) 关键交互功能的优先级评估 3
三、智能驾驶辅助系统的人机交互设计原则 4
(一) 安全性与可靠性设计原则 4
(二) 直观性与易用性设计原则 4
(三) 自适应性与个性化设计原则 5
(四) 多模态交互的设计考量 5
四、智能驾驶辅助系统的人机交互实现与优化 6
(一) 核心交互技术的应用实践 6
(二) 界面设计与用户体验优化 6
(三) 测试反馈与迭代改进策略 7
结 论 9
参考文献 10
随着智能驾驶技术的快速发展，人机交互设计成为提升驾驶安全性与用户体验的关键环节。本研究聚焦汽车智能驾驶辅助系统中的人机交互问题，旨在通过优化交互设计提高驾驶员对系统的信任度和操作效率。研究首先分析了当前智能驾驶辅助系统在信息呈现、交互方式及反馈机制等方面的不足，并结合认知心理学与人因工程理论，提出了一种基于多模态交互的新型设计方案。该方案整合视觉、听觉与触觉反馈，构建了动态适应性界面以匹配不同驾驶场景的需求。研究采用实验验证的方法，通过模拟驾驶环境收集驾驶员的行为数据与主观评价，结果表明所提出的交互设计显著提升了信息传递的准确性和驾驶员的操作响应速度。此外，系统在复杂场景下的可用性与可靠性也得到了明显改善。本研究的主要创新点在于引入情境感知算法优化交互流程，并首次将情感化设计融入智能驾驶辅助系统，从而增强了人机协作的和谐性。研究成果为未来智能驾驶辅助系统的设计提供了理论支持和技术参考，具有重要的实践意义和应用价值。
关键词：智能驾驶辅助系统；人机交互设计；多模态反馈
Abstract
With the rapid development of intelligent driving technology, human-computer interaction (HCI) design has become a critical factor in enhancing driving safety and user experience. This study focuses on HCI issues in automotive intelligent driving assistance systems, aiming to improve drivers' trust and operational efficiency through optimized interaction design. Initially, the research analyzes the deficiencies of current intelligent driving assistance systems in terms of information presentation, interaction methods, and feedback mechanisms. By integrating cognitive psychology and human factors engineering theories, a novel design scheme based on multimodal interaction is proposed. This scheme combines visual, auditory, and haptic feedback to construct a dynamically adaptive interface that aligns with the requirements of various driving scenarios. The study employs an experimental validation approach, collecting behavioral data and subjective evaluations from drivers in a simulated driving environment. The results demonstrate that the proposed interaction design significantly enhances the accuracy of information transmission and accelerates drivers' operational response times. Furthermore, the system's usability and reliability in complex scenarios have been notably improved. A major innovation of this research lies in the introduction of context-aware algorithms to optimize interaction processes, as well as the first integration of emotional design into intelligent driving assistance systems, thereby enhancing the harmony of human-machine collaboration. The findings provide theoretical support and technical references for the future design of intelligent driving assistance systems, showcasing significant practical implications and application value.
Keywords：Intelligent Driving Assistance System; Human-Machine Interaction Design; Multi-Modal Feedbac
目 录
摘要 I
Abstract II
一、绪论 1
(一) 智能驾驶辅助系统的发展背景 1
(二) 人机交互设计的研究意义 1
(三) 当前研究现状与挑战 1
(四) 本文研究方法与结构安排 2
二、智能驾驶辅助系统的人机交互需求分析 2
(一) 用户行为与心理特征研究 2
(二) 不同驾驶场景下的交互需求 3
(三) 关键交互功能的优先级评估 3
三、智能驾驶辅助系统的人机交互设计原则 4
(一) 安全性与可靠性设计原则 4
(二) 直观性与易用性设计原则 4
(三) 自适应性与个性化设计原则 5
(四) 多模态交互的设计考量 5
四、智能驾驶辅助系统的人机交互实现与优化 6
(一) 核心交互技术的应用实践 6
(二) 界面设计与用户体验优化 6
(三) 测试反馈与迭代改进策略 7
结 论 9
参考文献 10
