Designing information systems for business administration through human and computer interaction

Abstract

AI is increasingly incorporated into business operations; it appears in every aspect of life. However, a strategy that can integrate human and machine interaction is required for long-term implementation. To identify characteristics that can enhance domain operations and interpersonal interactions. To elucidate these obstacles and underscore specific pivotal decisional considerations that necessitate resolution before the effective collaboration of cognitive machines and humans in delivering authentic financial services. This article utilizes the published framework to analyze a case study in retail banking to identify the necessary cognitive abilities, individually and collectively. Each of these capabilities provides usage examples and demonstrates how they comprise a unified deliberative architecture for human-robot interaction. Customer service is an area where this design could be advantageous. Experimental evidence indicates that explicit knowledge management at the geometric and symbolic levels facilitates the incorporation of human-level semantics into the deliberative system of the robot, thereby enhancing the quality and authenticity of human-robot interactions.