The increasing global distribution of automobiles necessitates that the design of In-vehicle Information Systems (IVIS) is appropriate for the regions to which they are being exported. Differences between regions such as culture, environment and traffic context can influence the needs, usability and acceptance of IVIS. This paper describes two studies aimed at identifying regional differences in IVIS design needs and preferences across drivers from Australia and China to determine the impact of any differences on IVIS design. Using a questionnaire and interaction clinics, the influence of cultural values and driving patterns on drivers' preferences for, and comprehension of, surface- and interaction-level aspects of IVIS interfaces was explored. Similarities and differences were found between the two regional groups in terms of preferences for IVIS input control types and labels and in the comprehension of IVIS functions. Specifically, Chinese drivers preferred symbols and Chinese characters over English words and were less successful (compared to Australians) at comprehending English abbreviations, particularly for complex IVIS functions. Implications in terms of the current trend to introduce Western-styled interfaces into other regions with little or no adaptation are discussed.
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http://dx.doi.org/10.1016/j.apergo.2011.09.001 | DOI Listing |
Exp Neurol
January 2025
Department of Neuroscience, The School of Translational Medicine, Monash University, Melbourne, VIC, Australia. Electronic address:
Patients with a traumatic brain injury (TBI) are susceptible to hospital-acquired infections, presenting a significant challenge to an already-compromised immune system. The consequences and mechanisms by which this dual insult worsens outcomes are poorly understood. This study aimed to explore how a systemic immune stimulus (lipopolysaccharide, LPS) influences outcomes following experimental TBI in young adult mice.
View Article and Find Full Text PDFAppl Ergon
January 2025
Chongqing Changan Automobile Co., Ltd, Chongqing, China.
In-vehicle Head-Up Displays (HUDs) are expected to incorporate more information in the future, necessitating deeper understandings of design properties that can enhance display safety and efficiency. However, the optimal display characteristics-particularly in terms of area and shape-remain inadequately understood. This study investigated these two factors by manipulating horizontal and vertical Field of View (FOV) angles within a simulated in-vehicle HUD.
View Article and Find Full Text PDFJAMA Netw Open
December 2024
Department of Psychiatry, Washington University in St Louis, St Louis, Missouri.
Importance: Depression and antidepressant use are independently associated with crash risk among older drivers. However, it is unclear what factors impact daily driving that increase safety risk for drivers with depression.
Objective: To examine differences in naturalistic driving behavior and safety between older adults with and without major depressive disorder (MDD).
Heliyon
January 2025
Faculty of Mechanical and Industrial Engineering, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, Ethiopia.
Particularly when they occur at high speeds, vehicle accidents represent a serious threat to human beings and due to this fact vehicle accident is considered as worlds high priority risk. Several research have been done to enhance the crashworthiness of bumper subsystems. With an emphasis on the major crash management system components which are also known as crash box and bumper beam, this study explores ways to improve the crashworthiness of vehicles.
View Article and Find Full Text PDFMed Biol Eng Comput
December 2024
School of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082, People's Republic of China.
Finite element human body models (HBMs) are the primary method for predicting human biological responses in vehicle collisions, especially personalized HBMs that allow accounting for diverse populations. Yet, creating personalized HBMs from a single image is a challenging task. This study addresses this challenge by providing a framework for HBM personalization, starting from a single image used to estimate the subject's skin point cloud, the skeletal point cloud, and the relative positions of the skeletons.
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