Abstract
Featured Application The use of virtual serious games, biological implicit measures, and machine learning techniques for the assessment of leadership styles can enhance traditional assessment by integrating behavior-based information. In this article, we introduce three-dimensional Serious Games (3DSGs) under an evidence-centered design (ECD) framework and use an organizational neuroscience-based eye-tracking measure to capture implicit behavioral signals associated with leadership skills. While ECD is a well-established framework used in the design and development of assessments, it has rarely been utilized in organizational research. The study proposes a novel 3DSG combined with organizational neuroscience methods as a promising tool to assess and recognize leadership-related behavioral patterns that manifest during complex and realistic social situations. We offer a research protocol for assessing task- and relationship-oriented leadership skills that uses ECD, eye-tracking measures, and machine learning. Seamlessly embedding biological measures into 3DSGs enables objective assessment methods that are based on machine learning techniques to achieve high ecological validity. We conclude by describing a future research agenda for the combined use of 3DSGs and organizational neuroscience methods for leadership and human resources.
Lingua originale | English |
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pagine (da-a) | N/A-N/A |
Numero di pagine | 15 |
Rivista | APPLIED SCIENCES |
Volume | 11 |
DOI | |
Stato di pubblicazione | Pubblicato - 2021 |
Keywords
- assessment method
- decision-making behaviors
- evidence-centered design
- leadership style
- machine learning
- serious game
- visual attention