Journal article
The Relationship of Eye Movement, Workload, and Attention on Learning in a Computer-Based Training Program
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol.60(1), pp.1477-1481
09/2016
DOI: 10.1177/1541931213601339
Abstract
Computer-based training is a version of training that is becoming quite common. The Project Team Builder (PTB) program uses a computer simulation to help train individuals on how to correct a variety of problems faced by project managers. In this study, the use of a computer-based training program was utilized to assess learning and performance. To measure this, a Tobii T120 eye tracking system was employed to measure fixations and saccades of the participant while completing a training program. The task consisted of the completion of a project management training with assistance of the researcher, then again without assistance. It was hypothesized that performance would improve on the self-guided task after the completion of the assisted task. Results found that participants that completed the task quicker found it to be less mentally demanding. Number of fixations was found to be positively correlated with mental workload and perceived performance. This gives way to further research on computer-based training and the use of eye tracking systems for future program development.
Details
- Title: Subtitle
- The Relationship of Eye Movement, Workload, and Attention on Learning in a Computer-Based Training Program
- Creators
- Heather C Lum - School of Humanities & Social Sciences (Behrend)Richard L Greatbatch - Penn State Erie, The Behrend CollegeGrace E Waldfogle - Penn State Erie, The Behrend CollegeJacob D Benedict - Penn State Erie, The Behrend CollegeDavid A Nembhard - Pennsylvania State University
- Resource Type
- Journal article
- Publication Details
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol.60(1), pp.1477-1481
- DOI
- 10.1177/1541931213601339
- ISSN
- 2169-5067
- eISSN
- 2169-5067
- Publisher
- Sage
- Language
- English
- Date published
- 09/2016
- Academic Unit
- Industrial and Systems Engineering; Business Analytics
- Record Identifier
- 9984186971202771
Metrics
20 Record Views