지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2013.5
- 수록면
- 368 - 372 (5page)
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초록· 키워드
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Objective: The aim of this study is to propose a way of classifying various information displays used in automobiles on the basis of human-machine interaction. Background: As vehicles are becoming smart and intelligent, their functions reach beyond transportation and driver interactions with vehicles are getting sophisticated. To design improved HMI for better communication with vehicles, it is preceded to analyze information gathered from various in-vehicle displays having different modalities. Method: Driver’s interactions are categorized into groups according to their purpose and abstract functions. It is identified the information required during interactions within each function. The type and modality of information given from primary and auxiliary displays are evaluated in terms of compatibility of coding and multidimensionality. Results: The results showed that traditional in-vehicle information displays (IVIS) are not appropriate for delivering multidimensional and functionally organized information. Traditional IVIS needs to be improved in ways of relieving excessive reliance on visual channel and unnecessary redundancy of information. Application: The findings from this study could be used for designing multimodal and intelligent HMI system to alleviate cognitive burden of driver and make high quality of user experience.
목차
ABSTRACT
1. Introduction
2. Method
3. Results
4. Conclusion
References
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