AI-Based UX Design for Mitigating Psychological Barriers in Early Autonomous Vehicle Users This study proposes a UX strategy that applies AI-driven affective UX and fatigue management systems to alleviate psychological anxiety and build trust among early autonomous vehicle users. A preliminary survey, in-depth interviews, and virtual interaction tests were conducted with 30 elderly drivers and individuals with disabilities to evaluate the effectiveness of human-machine interface (HMI) design and personalized feedback systems. The findings indicate that implementing AI-based affective UX increased user trust by 35% and reduced psychological anxiety by 27%. Notably, the affective stability UI within the HMI played a crucial role in enhancing user trust during initial adoption. Based on these insights, this study proposes an onboarding process and participatory education program as key UX design strategies. The onboarding process consists of information provision, safety emphasis, real-time feedback, affective stability support, and drowsiness prevention system integration. The AI system continuously learns from the driver's responses to provide personalized feedback. The participatory education program comprises theoretical and practical training. The theoretical component covers technical principles, safety measures, and psychological reassurance, while the practical training includes experiential onboarding, VR-based simulations, and real-time feedback systems to enhance user adaptation. This study experimentally demonstrates that user-centered UX design can improve trust and acceptance of autonomous driving technology. The findings provide a foundational direction for future AI-based interface design improvements and the development of personalized UX systems.
목차
Abstract 1. Introduction 2. Theoretical Background 2.1. Autonomous Driving Technology and Psychological Barriers 2.2. AI-Based Affective UX and Fatigue Management System 2.3. Research Methodology 3. Data Analysis Process 3.1. Preliminary Survey and In-Depth Interviews 3.2. Virtual Interaction Test and Biometric Data-Based Experiment 3.3. Post-Evaluation and Data Analysis 4. Proposal for User Experience Design Strategy 4.1. Onboarding Process and Interface Design 4.2. Participatory Education Program Design 5. Conclusion References
국제문화기술진흥원 [The International Promotion Agency of Culture Technology]
설립연도
2009
분야
공학>공학일반
소개
본 진흥원은 문화기술(Culture Technology) 관련 산·학·연·관으로 구성된 비영리 단체이다. 문화기술(CT)은 정보통신기술(ICT), 문화적 사고 기반의 예술, 인문학, 디자인, 사회과학기술이 접목된 신융합기술(New Convergence Technology, NCT)로 정의한다. 인간의 삶의 질을 향상시키고, 진보된 방향으로 변화시키고, 문화기술 관련 분야의 학술 및 기술의 발전과 진흥에 공헌하기 위하여, 제3조의 필요한 사업을 행함을 그 목적으로 한다.
간행물
간행물명
International Journal of Advanced Culture Technology(IJACT)
간기
계간
pISSN
2288-7202
eISSN
2288-7318
수록기간
2013~2025
등재여부
KCI 등재
십진분류
KDC 600DDC 700
이 권호 내 다른 논문 / International Journal of Advanced Culture Technology(IJACT) Volume 13 Number 1