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
- 2014.5
- 수록면
- 45 - 49 (5page)
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초록· 키워드
오류제보하기
Drivers continuously shift their visual attention between the road and the dashboard to search information which they need for driving. According to Cooper (2013), their driving performance is affected by cognitive aspects; therefore, it is necessary to consider drivers’ cognitive characteristics and abilities in a driving context. Existing studies on the evaluation of drivers’ performance are focused on gender or age difference (Oltedal, 2006; Lonczak, 2007). In the precedent study (Jo & Lim, 2013), 114 users were clustered into eight segments, and for three selected segments, nine users were recruited for eye movement data gathering during a dual task of driving and visual search. In this study, logistic regression classification models for each segment were developed based on the eye movement data. The models for the segment based on a driver’s cognitive characteristics showed higher accuracies than the models for the male and female groups. This could be a preliminary study introducing the importance of using drivers’ cognitive characteristics in designing visual information for vehicles.
목차
ABSTRACT
1. Introduction
2. Method
3. Results
4. Conclusion
References
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UCI(KEPA) : I410-ECN-0101-2016-530-002491461