Conceptual Model: Personal Information Management Using Adaptive Information Systems

Abstract

In the digital age, information overload is a widespread issue that hampers the efficient management of large volumes of personal data. Considering solving this problem, this study aims to develop and test a conceptual model of an adaptive personal information management system (AIS). The information system can be adapted to suit individual users preferences and tasks. The study uses a mixed methods approach, combining quantitative and qualitative data collected through expert assessments using the Delphi method, modeling scenarios, and literature reviews. The AIS framework, validated by experts, focuses on centralizing, classifying, prioritizing, and filtering information based on user behavior and preferences. Simulations indicate that the AIS can reduce cognitive load and enhances information processing efficiency. This paper discusses the implications of these findings and offers recommendations for adaptive systems integration in personal information management.