Campus Units

Industrial and Manufacturing Systems Engineering, Mechanical Engineering, Psychology, Virtual Reality Applications Center, Human Computer Interaction

Document Type

Conference Proceeding

Publication Version

Submitted Manuscript

Link to Published Version

https://doi.org/10.1177/1541931213601465

Publication Date

9-2016

Journal or Book Title

Proceedings of the Human Factors and Ergonomics Society Annual Meeting

Volume

60

Issue

1

First Page

2048

Last Page

2052

DOI

10.1177/1541931213601465

Conference Title

HFES International Annual Meeting

Conference Date

September 19-23, 2016

City

Washington, DC

Abstract

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).

Comments

This is a manuscript of an article published as Meusel, Chase, Chase Grimm, Stephen Gilbert, and Greg Luecke. "An Agricultural Harvest Knowledge Survey to Distinguish Types of Expertise." In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 60, no. 1, pp. 2048-2052. SAGE Publications, 2016. DOI:10.1177/1541931213601465. Posted with permission.

Copyright Owner

Human Factors and Ergonomics Society

Language

en

File Format

application/pdf

Published Version

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Article Location

 
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