Their age ranged between 16 and 62 years old and the age mean was 29,98 years old. Among them, 31 were female and 24 were male. Participants The participants were a convenience sample of 55 young adults (less than rays age) which comprised of both males and females studying at Nottingham Trend University, England.
The dependent variable (DVD) was the speed taken (seconds) to complete the reaction task. Randomization of the participants was decided by using the random number table to allocate participants into group 1 or group 2. Participants were randomized to one of two conditions of the independent variable (V) either to perform the distraction task first or the non-distraction task. Method Design A within-participant two-tailed experimental design was used to explore the effects of castration on reaction time. According to previous findings, visual stimuli should increase reaction times of an individual. Upon noticing a red dot, the individual will have to respond by pressing the space bar. The distraction task will involve a sensory visual background for the participant to view whilst also keeping an eye out for the red dot flashing on the centre of the screen. This study will focus on the effects of distraction brought by visual stimuli on human reaction time. Therefore, studying the common response to visual distraction, looking for a potential mineral pattern and its consistency in human reaction time is needed. This suggests that the human brain no longer finds a certain stimuli as a distracted and is able to process it effectively (And et al, 2002).
DIATRACTED AND UNDISTRACTED TIME REACTION DRIVERS
In addition to this, it has been found that drivers with experience of being exposed to several visual stimuli have shown to have a faster reaction time than inexperienced drivers (Constantinople et al, 2010). Research showed that visual stimuli presented to different regions of the eye produced different reaction times (Brenner and Welfare, 1980).
The visual pathway may be responsible for affecting human reaction time (Ghent, McCormick, 2010). They found that visual distraction associated within the car such as devices resulted in higher work load and as a result affected driver’s control of the car. Previous experiment investigated the effects of in-car technology perceived as visual distraction using a calculator Dates experiment on ventricle Drawing Elegance Ana control (Karee et al, 2012).
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