title: The smooth (tractor) operator: insights of knowledge engineering.
abstract: The design of and training for complex systems requires in-depth understanding of task demands imposed on users. In this project, we used the knowledge engineering approach (Bowles et al., 2004) to assess the task of mowing in a citrus grove. Knowledge engineering is divided into four phases: (1) Establish goals. We defined specific goals based on the stakeholders involved. The main goal was to identify operator demands to support improvement of the system. (2) Create a working model of the system. We reviewed product literature, analyzed the system, and conducted expert interviews. (3) Extract knowledge. We interviewed tractor operators to understand their knowledge base. (4) Structure knowledge. We analyzed and organized operator knowledge to inform project goals. We categorized the information and developed diagrams to display the knowledge effectively. This project illustrates the benefits of knowledge engineering as a qualitative research method to inform technology design and training.
authors.affiliation: Georgia Institute of Technology, Atlanta, USA.
authors.forename: Ralph H
authors.initials: RH
authors.lastname: Cullen
authors.forename: Cory-Ann
authors.initials: CA
authors.lastname: Smarr
authors.forename: Daniel
authors.initials: D
authors.lastname: Serrano-Baquero
authors.forename: Sara E
authors.initials: SE
authors.lastname: McBride
authors.forename: Jenay M
authors.initials: JM
authors.lastname: Beer
authors.forename: Wendy A
authors.initials: WA
authors.lastname: Rogers
mesh_terms: D000328:Adult; D000383:Agriculture; D003142:Communication; D004738:Engineering; D006801:Humans; D007407:Interviews as Topic; D019359:Knowledge; D008875:Middle Aged; D036301:Qualitative Research; D013647:Task Performance and Analysis