자발적 작업 전환 예측을 위한 인지 모델 개발

Abstract

Objective: The objective of this study is to propose a cognitive model that can explain and predict when voluntary task switching occurs in multitasking environments.BRBRBackground: Voluntary task switching in multitasking is prevalent in general work environments, but can cause cognitive loss and affect worker productivity. Therefore, it is essential to improve understanding of voluntary task switching and to quantitatively predict when voluntary task switching occurs.BRBRMethod: As a result of the literature review, it can be summarized that voluntary task switching is mainly caused by an imbalance between task difficulty and cognitive ability. Based on this, the ACT-R cognitive model of voluntary task switching is developed and applied to an illustrative multi-task including the memory game and the visual search task. To validate the model in this study, an experiment is conducted on the number of voluntary task switching according to the task difficulty level, and the results of the model are compared with human data.BRBRResults: The results of both the model and the subject show that the task difficulty level affects the frequency of voluntary task switching. In addition, according to the goodness-of-fit measures, it can be seen that the model reflects the trend consistency and exact match of the human data well.BRBRConclusion: As the results, the proposed model can provide a relatively accurate representation of when voluntary task switching is performed. The proposed model exhibits insights in predicting when the self-interruption occurs in multitasking environments and demonstrates the manner in which ACT-R facilitates accounts of voluntary task switching.BRBRApplication: The cognitive model in this study can be used as a practical tool to evaluate aid systems in multitasking.