Industrial and Manufacturing Systems Engineering, Mechanical Engineering, Psychology, Virtual Reality Applications Center, Human Computer Interaction
Link to Published Version
Journal or Book Title
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
HFES International Annual Meeting
September 19-23, 2016
Gaining insight into the unique characteristics of participants during user research is a valuable tool for both recruitment and understanding differences within the target population. This work describes an agricultural harvest knowledge survey that was created for user research studies that observed experienced combine operators driving a combine simulator in virtual crop fields. Two variations of the survey were designed, utilized, and evaluated in two separate studies. Both studies found a difference between low and high knowledge operators' performance on the knowledge survey in addition to performance differences. Based on the success of this survey as a population segmentation tool, the authors recommend three criteria for the design of future knowledge surveys in other domains: 1) use real world scenarios, 2) ensure question are neither too difficult nor too easy, and 3) ask the minimum number of questions to identify operator knowledge successfully. Future research aims to create a tool that can discern between system experts (with deep understanding of the system) and practice experts (who primarily have the wisdom of experience).
Human Factors and Ergonomics Society
Meusel, Chase; Grimm, Chase; Gilbert, Stephen B.; and Luecke, Greg R., "An Agricultural Harvest Knowledge Survey to Distinguish Types of Expertise" (2016). Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters. 95.