Designing Effective Intelligent Healthcare Application Using Internet of Behavior

Abstract

The Internet of Behavior (IoB) focuses on understanding human behavior and using that understanding when designing smart software. It connects digital technology with how people act, so that software can be created and improved based on real human behavior. Basically, IoB uses data to find patterns in what people do, helping to make technology more human-centered. This paper explores the integration of the Internet of Behavior (IoB) with Engineering of Complex Adaptive Systems to design Intelligent Healthcare Application that boost user engagement and improve health outcomes. It also discusses how to build smart design features into systems using IoB. Further, this study applies IoB conceptual model to Assistive Healthcare System to identify human components and related system components. The model also identifies expected and real behaviour of human components. These behaviours are mapped with runtime adaptation of requirements. The proposed model’s primary objective is to capture human behavior, create a model based on it, and build a system that can adapt to changes in real time, learn continuously from repeated actions, and build a growing base of knowledge. The effectiveness of the proposed model is checked with Technology Acceptance Model (TAM). This paper presents role of IoB in bringing design intelligence and adaptive nature in intelligent system.