Date of Award
12-14-2015
Document Type
Open Access Thesis
Department
Computer Science and Engineering
First Advisor
Jenay Beer
Abstract
Industrial applications have not been extensively researched regarding human-robot interaction. This project investigated industrial robot acceptance in the context of one manufacturing site. Acceptance was examined in relation to the workforce and conditions of acceptance were identified using mixed methodology. Quantitative (surveys) and qualitative (interviews) data was used to measure and analyze the existing state of technology acceptance and site culture. Based on this exploratory study, it was found the manufacturing facility has a weak culture but would be generally accepting of industrial robots if the technology were easy to use and useful. The identified boundary conditions to acceptance included training, job satisfaction and the opportunity to work in teams. It is hypothesized there was hesitation towards acceptance for age groups > 42 years and with less technology experience or exposure.
Rights
© 2015, Melissa M. Henderson
Recommended Citation
Henderson, M. M.(2015). Industrial Robot Acceptance: Effects of Workforce Demographics and Establishing a Culture of Acceptance within Manufacturing Industry. (Master's thesis). Retrieved from https://scholarcommons.sc.edu/etd/3235