Data Collection During Active Gameplay

Author:

Kenwright Benjamin1

Affiliation:

1. Zhejiang Normal University, China

Abstract

Traditional methods of assessment often fall short in capturing the complexities of an individual's cognitive, emotional, and behavioral responses during gameplay. This chapter addresses this critical problem by advocating for the integration of stealth assessment techniques, enabling the unobtrusive collection of multifaceted data while players engage in immersive gaming experiences. Seamlessly embedding assessment tools within gameplay mechanics, researchers and game developers can access a treasure trove of valuable insights, including players' problem-solving abilities, emotional states, subject comprehension, and adaptive learning patterns, without disrupting the flow of the gaming experience. Through the strategic use of data collection during active gameplay, stealth assessment emerges as a powerful approach to unravel a comprehensive portrait of the individual, fostering the creation of more personalized and impactful gaming experiences.

Publisher

IGI Global

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