This is emulated especially by our third participant, James Ondak who also used his cellphone for the distraction. He had the highest average distracted time. His first distracted reaction time was very good at an impressive 210. However, in the second and third trails, James decided to perform user-intensive tasks on his phone. Tasks like replying to a text, reading a text, and any other task that forced James to focus solely on the screen of is phone. As a result, his second and third distracted attempts lead to the highest times, both attempts at 430. This is evident across the board for all participants for their third attempt, such as Ms.Scholl’s third attempt at 350 or Mr. Green’s third attempt at 350 as well. There is a direct link between the amount of user-input in a distraction and the reaction time of the
This is emulated especially by our third participant, James Ondak who also used his cellphone for the distraction. He had the highest average distracted time. His first distracted reaction time was very good at an impressive 210. However, in the second and third trails, James decided to perform user-intensive tasks on his phone. Tasks like replying to a text, reading a text, and any other task that forced James to focus solely on the screen of is phone. As a result, his second and third distracted attempts lead to the highest times, both attempts at 430. This is evident across the board for all participants for their third attempt, such as Ms.Scholl’s third attempt at 350 or Mr. Green’s third attempt at 350 as well. There is a direct link between the amount of user-input in a distraction and the reaction time of the