Identification of Factors for Dynamic Function Allocation from the Perspective of Human Information Processing
Open Access
Article
Conference Proceedings
Authors: Wangzhi Wang, Manrong She, Shanguang Chen, Zhizhong Li
Abstract: To ensure safe and efficient collaboration between humans and automated systems, it's essential to understand how to allocate functions dynamically. The first step involves identifying the factors that may trigger such dynamic function allocation. When factors influencing information processing emerge and reach a certain level of significance, individuals often experience changes in their states and performance. It is at this juncture that dynamic human-machine function allocation becomes necessary. Therefore, identifying these factors from the perspective of human information processing can help determine whether a task element will be affected by a specific factor and if dynamic function allocation should be initiated. By conducting an extensive literature review encompassing various related studies, this research identified factors that may impact different stages of human information processing. Subsequently, these factors were identified for dynamic function allocation in human-machine collaboration. This study is expected to provide a theoretical foundation for achieving dynamic function allocation in human-machine teaming.
Keywords: Dynamic Human-machine Function Allocation, Human Information Processing, Human-machine Teaming
DOI: 10.54941/ahfe1004859
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