研究目的
To investigate the developer, researcher, and user perspectives on the functional requirements of automotive HUDs through a systematic literature review, and to suggest future research directions.
研究成果
The review provides an integrated understanding of automotive HUD functional requirements from multiple perspectives. It highlights that current commercial HUDs replicate conventional display functions, while research proposes new safety and experience-enhancing features. However, there is a gap in understanding user information needs. Future research should focus on developing measures for utility and usability, evaluating existing systems, defining roles in autonomous driving, understanding actual user practices, and accommodating individual differences.
研究不足
The study is limited to literature review; it does not include primary empirical research. The findings are based on available documents and studies, which may not cover all aspects. For user perspectives, only three studies were found, and they had small sample sizes and lacked context-specific analysis. Technological constraints and cost issues for implementing proposed HUD functions are not deeply explored.
1：Experimental Design and Method Selection:
The study employed a systematic literature review method to integrate existing knowledge on automotive HUD functional requirements. It was guided by a conceptual framework based on Nielsen's notions of utility, usability, and usefulness.
2：Sample Selection and Data Sources:
For Research Question 1, documents from 15 major automobile manufacturers (e.g., Audi, BMW, Toyota) were examined via web searches, vehicle manuals, and video clips. For Research Questions 2 and 3, academic studies from 1994 to 2016 were sourced from ACM Digital Library, Science Direct, Scopus, and Web of Science using specific keywords related to HUDs, automobiles, and information display design.
3：List of Experimental Equipment and Materials:
Not applicable as this is a literature review; no physical equipment was used.
4：Experimental Procedures and Operational Workflow:
For RQ1, HUD systems of manufacturers were identified and details were extracted. For RQs 2 and 3, database searches were conducted, documents were screened based on exclusion criteria (e.g., not related to automotive HUDs, duplicates), and relevant studies were reviewed.
5：Data Analysis Methods:
Information types were categorized using the KJ method (card sorting) for RQ2, and findings from user studies were summarized for RQ3.
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