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AI-Based UX Design Research for Mitigating Psychological Barriers in Early Autonomous Vehicle Users

첫 페이지 보기
  • 발행기관
    국제문화기술진흥원 바로가기
  • 간행물
    International Journal of Advanced Culture Technology(IJACT) KCI 등재 바로가기
  • 통권
    Volume 13 Number 1 (2025.03)바로가기
  • 페이지
    pp.322-329
  • 저자
    Hana Jung
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A465930

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원문정보

초록

영어
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

저자

  • Hana Jung [ Assistant Professor, Department of Digital Media Design, Chungju University, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    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 600 DDC 700

이 권호 내 다른 논문 / International Journal of Advanced Culture Technology(IJACT) Volume 13 Number 1

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