Expertise as a mediating factor in conceptual modeling.

Authors

Christopher J. DavisFollow
Alan R. Hevner
Elise Labonte-LeMoyne
Pierre-Majorique Leger

SelectedWorks Author Profiles:

Christopher J. Davis

Document Type

Article

Publication Date

2018

ISBN

978-3-319-67431-5

Abstract

We use eye=tracking to better understand the notion of expertise in conceptual modeling of complex systems. This research-in-progress paper describes an ongoing experiment to exploit the capacity of eye-tracking to explore the significance of expertise as a mediating factor in conceptual modeling. The proposed methodology highlights the applicability, validity, and potential of well-established eye-tracking methods to measure the effects of expertise. By identifying the differences in the strategies that novices and experts use to search, detect, and diagnose errors, we anticipate being able to help define training curricula appropriate for each level to improve performance and model result quality.

Comments

Series: Lecture Notes in Information Systems and Organisation, 25

Publisher

Springer Heidelberg

Recommended Citation

Davis, C. J., Hevner, A. R., Labonte-LeMoyne, É., & Léger, P-m. (2018). Expertise as a mediating factor in conceptual modeling. In F.D. Davis, R. Riedl, J. vom Brocke, P-M. Leger, & A.B. Randolph (Eds.) Information Systems and Neuroscience. (pp: 85-92): Cham : Springer International Publishing. doi:10.1007/978-3-319-67431-5_10

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.