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Human factors evaluation of the effe...

Liu, Yung-Ching.

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Human factors evaluation of the effectiveness of multi-modality displays in advanced traveler information systems.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Human factors evaluation of the effectiveness of multi-modality displays in advanced traveler information systems./
作者:	Liu, Yung-Ching.
面頁冊數:	242 p.
附註:	Source: Dissertation Abstracts International, Volume: 57-05, Section: A, page: 2230.
Contained By:	Dissertation Abstracts International57-05A.
標題:	Transportation. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9629692

Human factors evaluation of the effectiveness of multi-modality displays in advanced traveler information systems.
Liu, Yung-Ching.

Human factors evaluation of the effectiveness of multi-modality displays in advanced traveler information systems. - 242 p.

Source: Dissertation Abstracts International, Volume: 57-05, Section: A, page: 2230.

Thesis (Ph.D.)--The University of Iowa, 1996.

This study involves a two-phase procedure to evaluate the effectiveness of the multi-modality displays as compared to single-modality displays, the auditory display and the visual display. In phase one, feasible candidate information requirements used to create scenarios were generated using the KTA method. Phase two is a 2(Age) x 3(Display) x 2(Driving Load) x 2(Information Complexity) mixed factorial design, via a low-cost driving simulator.Subjects--Topical Terms:

555912
Transportation.

Human factors evaluation of the effectiveness of multi-modality displays in advanced traveler information systems.
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245 1 0 $a Human factors evaluation of the effectiveness of multi-modality displays in advanced traveler information systems.
300 $a 242 p.
500 $a Source: Dissertation Abstracts International, Volume: 57-05, Section: A, page: 2230.
500 $a Supervisor: Thomas A. Dingus.
502 $a Thesis (Ph.D.)--The University of Iowa, 1996.
520 $a This study involves a two-phase procedure to evaluate the effectiveness of the multi-modality displays as compared to single-modality displays, the auditory display and the visual display. In phase one, feasible candidate information requirements used to create scenarios were generated using the KTA method. Phase two is a 2(Age) x 3(Display) x 2(Driving Load) x 2(Information Complexity) mixed factorial design, via a low-cost driving simulator.
520 $a Thirty-two subjects divided into two age groups, younger and older, participated in this simulator test. Each subject drove the simulator equipped with each one of the three displays. Two scenarios were created for each display based on low/high driving load conditions. In addition, different information complexities were also included within each scenario.
520 $a Subjects were instructed to perform a push button task, a navigation task, and also to use the displayed traffic information to drive through each scenario. A modified SWAT was used to evaluate subjective mental workload at the middle and end of each scenario.
520 $a The primary findings of this research are: (1) Subjects react more quickly to warning information from the multi-modality and the auditory displays than from the visual display and can best detect information from the multi-modality display. (2) The multi-modality display has the best performance results in terms of both total correct turns and navigation-related errors. (3) The multi-modality display generally has better performance results relating to small attention demands. On the other hand, the visual display condition resulted in higher demands on the drivers' attention and thus leads to the least safe condition. (4) The multi-modality display and the auditory display received lower and more preferable ratings than those of the visual display, respectively. These findings are more pronounced in the complex information condition.
520 $a Additional findings include: age does affect performance results. Overall, the older drivers exhibit lower performance than do the younger drivers. It is important to note, however, that using the multi-modality display has a greater impact on older driver performance than do the other two displays.
590 $a School code: 0096.
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790 $a 0096
791 $a Ph.D.
792 $a 1996
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