The Effect of Playing Video Advertisement Inside a Car on Driver Visual Distraction

Abstract

With the development of in-car technologies and the use of portable devices such as tablets inside the car, one of the most interesting topics for different companies might be to promote advertising within the car. The most important issue with regard to advertising inside the vehicle is the safety issues and issues related to driver distraction. The NHTSA regulation, restricted in- car advertising in 2014, whereas, by increasing the use of in-vehicle devices and technologies, in 2016 showing video images in the vehicles were allowed under certain circumstances. The current research aims to assess the degree of visual distraction of driver caused by video advertisements broadcasted inside a car. The results of this study indicate that the type of advertisement has a direct impact on the visual distraction of the driver. In addition, findings indicate that in case of playing an advertisement in a simple form (accommodated by a speech), a safer situation might be expected compared to situations in which the same advertisement has been broadcasted by a musical content (with or without a speech).

Virtual reality tour for first-time users of highly automated cars: Comparing the effects of virtual environments with different levels of interaction fidelity

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Image Semantic Analysis in Visual Media Art Using Machine Learning and Neural Machine Translation

“…Since the 21st century, the rapid improvement of computer performance has also promoted the ability of many computer-related communication technologies, multimedia technologies and multimedia recognition technologies [1], and digital video and images have gradually filled people's daily life [2], marking the arrival of the era of multimedia information service [3]. However, with the emergence of increasing image, video and other information transmission carriers, personal smartphones, computers and other networking devices are filled with image advertising and other information almost all the time [4], and people's visual aesthetic fatigue gradually appears [5]. Therefore, people's voice for image intelligent information and extraction technology is also increasing, and they urgently hope to have a function of automatic loading and understanding of image semantics and other information [6].…”