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dc.contributor.author Kim, Man Ho -
dc.contributor.author Lee, Yong Tae -
dc.contributor.author Son, Joonwoo -
dc.date.available 2017-07-11T07:09:49Z -
dc.date.created 2017-04-10 -
dc.date.issued 2010-09 -
dc.identifier.issn 1094-6977 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/3501 -
dc.description.abstract Recent technological advances have made motor vehicles more intelligent to increase safety and comfort. An intelligent vehicle provides drivers with safety warning information through audible sounds, visual displays, and tactile feedback. However, elderly drivers often have decreased cognitive and psychomotor abilities in the areas such as hearing, eyesight, short-term memory, and spatial perception. Therefore, possible age-related deficits should be considered when designing effective warning systems. This paper evaluates the impact of advancing age on drivers physical responses and emotional preferences with regard to audible safety warnings that are widely used to warn about driving hazards. Three sound characteristics (frequency, tempo, and intensity) and three age groups (younger, middle, and older) were considered in investigating the effect of age-related hearing loss and reduced speed of movement. Data were collected from 38 drivers who drove on a simulated rural road in a driving simulator. Experimental results showed that age influenced drivers responses and emotional preference. An appropriate range of warning sounds is suggested. © 2010 IEEE. -
dc.publisher Institute of Electrical and Electronics Engineers Inc. -
dc.title Age-Related Physical and Emotional Characteristics to Safety Warning Sounds: Design Guidelines for Intelligent Vehicles -
dc.type Article -
dc.identifier.doi 10.1109/TSMCC.2010.2041926 -
dc.identifier.wosid 000283128300009 -
dc.identifier.scopusid 2-s2.0-77955852996 -
dc.identifier.bibliographicCitation IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, v.40, no.5, pp.592 - 598 -
dc.subject.keywordAuthor Advanced driver assistance system (ADAS) -
dc.subject.keywordAuthor emotional preference -
dc.subject.keywordAuthor hearing -
dc.subject.keywordAuthor intelligent vehicle -
dc.subject.keywordAuthor older driver -
dc.subject.keywordAuthor physical response -
dc.subject.keywordAuthor safety warning sounds guideline -
dc.subject.keywordPlus Advanced Driver Assistance System (ADAS) -
dc.subject.keywordPlus Advanced Driver Assistance Systems -
dc.subject.keywordPlus ASSISTANCE -
dc.subject.keywordPlus Audition -
dc.subject.keywordPlus AUDITORY SIGNALS -
dc.subject.keywordPlus Automobile Drivers -
dc.subject.keywordPlus Automobile Simulators -
dc.subject.keywordPlus emotional Preference -
dc.subject.keywordPlus ERGONOMICS RECOMMENDATIONS -
dc.subject.keywordPlus Hearing -
dc.subject.keywordPlus ICONS -
dc.subject.keywordPlus Intelligent Vehicle -
dc.subject.keywordPlus Intelligent Vehicle Highway Systems -
dc.subject.keywordPlus Intelligent Vehicles -
dc.subject.keywordPlus MODALITY -
dc.subject.keywordPlus Older Driver -
dc.subject.keywordPlus Older Drivers -
dc.subject.keywordPlus Physical Response -
dc.subject.keywordPlus Safety Warning Sounds Guideline -
dc.subject.keywordPlus SYSTemS -
dc.subject.keywordPlus Vehicles -
dc.citation.endPage 598 -
dc.citation.number 5 -
dc.citation.startPage 592 -
dc.citation.title IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews -
dc.citation.volume 40 -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Computer Science -
dc.relation.journalWebOfScienceCategory Computer Science, Artificial Intelligence; Computer Science, Cybernetics; Computer Science, Interdisciplinary Applications -
dc.type.docType Article -
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