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Relevant bibliographies by topics / Driver information support

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Journal articles

Academic literature on the topic 'Driver information support'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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Journal articles on the topic "Driver information support"

1

Chang, Cheng, Gen Ohbayashi, Toru Yamaguchi, and Eri Sato-Shimokawara. "Information Presentation Support of Car Robotics Simulator System Based on Humatronics." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 3 (2011): 389–95. http://dx.doi.org/10.20965/jaciii.2011.p0389.

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Most traffic accidents are caused by drivers’ carelessness and lack of information about the surrounding objects. In this paper, authors develop information presentation support system of a car robotics system based on humatronics. The main purpose of humatronics is to establish the symmetric interaction between human and electronics system by giving the system the capability of understanding human. Car robotics system based on humatronics is used in this research. Car robotics system is developed on human centered city. In this city, systems judge the situation and autonomously support human.

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Cauffman, Stephen J., Yulin Deng, Yunmei Liu, Christopher Cunningham, David Kaber, and Jing Feng. "Driver Logo Sign Detection and Hazard Responses during Partially Automated Driving." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (2020): 1960–64. http://dx.doi.org/10.1177/1071181320641472.

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This study investigates the presentation of service logo information under partially automated driving. Drivers completed simulated drives with partial automation during which they had to detect target logo signs and react to hazards by taking over vehicle control when needed. Driver performance was measured in terms of sign detection rate, crash rate, and hazard response time. A number of factors, including sign information source, sign information load, and driver age group, were investigated. In general, our findings support the delivery of service logo information via in-vehicle display un

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Hill, Melinda J., Nancy W. Hudson, Brenda M. Lantz, and Gene C. Griffin. "Commercial Vehicle Driver Family Issues Assessment." Transportation Research Record: Journal of the Transportation Research Board 1640, no. 1 (1998): 74–83. http://dx.doi.org/10.3141/1640-10.

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The dissatisfaction of truck drivers associated with issues related to the family is examined. This dissatisfaction is seen as a major reason for high turnover rates in the trucking industry. The nature of commercial vehicle driver work and family environments is more clearly defined through mail survey questions asked of both the driver and their spouse/partner. Specific questions in the survey address work concerns, family concerns, decision making, informational needs, communication, and leisure time. Methods to apply this information to programs of intervention and support useful to commer

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Laberge, Jason, Nicholas Ward, Michael Rakauskas, and Janet Creaser. "A Comparison of Work Domain and Task Analysis for Identifying Information Requirements: A Case Study of Rural Intersection Decision Support Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 4 (2007): 298–302. http://dx.doi.org/10.1177/154193120705100432.

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Minnesota drivers are over-represented in accidents at rural intersections and many crashes are attributable to drivers accepting unsafe gaps. In this context, intersection decision support (IDS) systems are promising technologies for supporting driver decision-making. A significant activity during IDS development is to determine the information requirements to display to drivers. To be effective, an IDS system must present information that helps drivers successfully negotiate intersections. This paper compares two methods for identifying information requirements: work domain analysis (WDA) an

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Riener, Andreas, Pierre Chalfoun, and Claude Frasson. "The Potential of Subliminal Information Displays to Change Driver Behavior." Presence: Teleoperators and Virtual Environments 23, no. 1 (2014): 51–70. http://dx.doi.org/10.1162/pres_a_00170.

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In the long history of subliminal messages and perception, many contradictory results have been presented. One group of researchers suggests that subliminal interaction techniques improve human–computer interaction by reducing sensory workload, whereas others have found that subliminal perception does not work. In this paper, we want to challenge this prejudice by first defining a terminology and introducing a theoretical taxonomy of mental processing states, then reviewing and discussing the potential of subliminal approaches for different sensory channels, and finally recapitulating the find

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6

Hashimoto, Kohjiro, Tetsuyasu Yamada, Takeshi Tsuchiya, Kae Doki, Yuki Funabora, and Shinji Doki. "Detection of contributing object to driving operations based on hidden Markov model." International Journal of Advanced Robotic Systems 16, no. 5 (2019): 172988141987679. http://dx.doi.org/10.1177/1729881419876794.

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With increase in the number of elderly people in the Japanese society, traffic accidents caused by elderly driver is considered problematic. The primary factor of the traffic accidents is a reduction in their driving cognitive performance. Therefore, a system that supports the cognitive performance of drivers can greatly contribute in preventing accidents. Recently, the development of devices for visually providing information, such as smart glasses or head up display, is in progress. These devices can provide more effective supporting information for cognitive performance. In this article, we

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7

Taramov, A. A., and N. G. Shilov. "Recommender Systems for Driver Information Support: State-of-the-Art Review." Proceedings of Tomsk State University of Control Systems and Radioelectronics 21, no. 2 (2018): 68–74. http://dx.doi.org/10.21293/1818-0442-2018-21-2-68-74.

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FitzGerald, Clare. "Getting Past “Purposeful”: Exploring Dimensionality in Nonprofit Executive Performance Information Use." Journal of Public and Nonprofit Affairs 6, no. 3 (2020): 281–302. http://dx.doi.org/10.20899/jpna.6.3.281-302.

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Although performance information use (PIU) among public managers is a growing and increasingly relevant research area, the existing evidence base has two significant limitations for those interested in its application to nonprofit executives. First, large survey investigations, the predominant method used to assess PIU behaviors, have rarely sampled outside of government. Second, despite theoretical arguments and empirical support for PIU being a multidimensional behavior, only ‘purposeful’ use (i.e., the deliberate and instrumental use of performance information in decision-making to improve

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9

KUBOTA, Shinichi, Ichiro KAGEYAMA, and Yukiyo KURIYAGAWA. "3216 Study on Indication Method of Driving Information as Driver Support System." Proceedings of the Transportation and Logistics Conference 2005.14 (2005): 259–62. http://dx.doi.org/10.1299/jsmetld.2005.14.259.

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10

Hollander, Cornelia, Nadine Rauh, Frederik Naujoks, Sebastian Hergeth, Josef F. Krems, and Andreas Keinath. "Methodological Approach towards Evaluating the Effects of Non-Driving Related Tasks during Partially Automated Driving." Information 11, no. 7 (2020): 340. http://dx.doi.org/10.3390/info11070340.

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Partially automated driving (PAD, Society of Automotive Engineers (SAE) level 2) features provide steering and brake/acceleration support, while the driver must constantly supervise the support feature and intervene if needed to maintain safety. PAD could potentially increase comfort, road safety, and traffic efficiency. As during manual driving, users might engage in non-driving related tasks (NDRTs). However, studies systematically examining NDRT execution during PAD are rare and most importantly, no established methodologies to systematically evaluate driver distraction during PAD currently

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