Bullington, Stanley F.
Burch, Reuben F., V
Carruth, Daniel W.
Date of Degree
Graduate Thesis - Open Access
Master of Science
James Worth Bagley College of Engineering
Department of Industrial and Systems Engineering
The growing number of mobile devices used today and the increasing dependency on them in the workplace makes understanding how users interact with these devices critical. This study looks to find how different generational groups commit errors on different types of devices. Participants completed tasks consisting of word and character input on two different devices, a physical keypad and touchscreen device. The number of errors and types of error, corrected and permanent were collected for each participant. It was found that participants committed more errors when using character input and physical keypad devices but also corrected more of their errors when using them. When looking at number of errors and the amount of corrected errors, the optimal input content and input method paired combination is using word input on the key device. The results of this study can help guide industries in choosing the right devices for their users.
Cannon, Angela Brooke, "Understanding How Age, Input Method, and Input Content Impact User Error" (2014). Theses and Dissertations MSU. 4822.