메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술대회자료
저자정보
Sang Ho Kim (Kumoh National Institute of Technology) Jong Kyu Shin (Kumoh National Institute of Technology)
저널정보
대한인간공학회 대한인간공학회 학술대회논문집 대한인간공학회 2015 추계학술대회
발행연도
2015.10
수록면
194 - 198 (5page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
Objective: The objective of this study is to compare the driver"s response rate and time between auditory and tactile signals given in two different task conditions (Driving/Non-Driving). It is for checking whether haptic signals can be used as a component of the car warning system. Background: As recent automobiles are evolving into intelligent information systems everyday, the amount of information that drivers need to process increase correspondingly. Too much information presented simultaneously on visual displays may distract driver’s attention and it may cause serious traffic accidents. It is hypothesized that multimodal in-vehicle information systems can be a possible solution for reducing the driver’s cognitive overload. Method: Experiment were conducted to gather response rate and time for given warning signals delivered in different modalities, auditory and tactile, using a computerized interactive driving simulator. The subjects are tested under two different task conditions: driving and non-driving. Response rate and time for the haptic signals are compared with those for the auditory signals. Conclusion: The study shows that there is slight difference in response rate between the two modalities, but the difference is not practically significant. For response time, auditory signals draw faster responses compare to the haptic signals in 73msec on the average. Application: The result from this study supports that haptic signals can be used as substitute warnings when other channels are busy and signals can be initiated a bit earlier than the situation.

목차

Abstract
1. Introduction
2. Method
3. Results
4. Discussion
References

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2016-530-002088951