Intelligent User Interface in Fuzzy Environment

TL;DR

This paper introduces a novel intelligent user interface technology that leverages fuzzy logic, AI, and multi-agent systems to enable natural, adaptable, and real-time interaction in uncertain and dynamic environments.

Contribution

It proposes a comprehensive data, information, and knowledge-based framework for designing intelligent user interfaces that operate effectively without predefined scripts in fuzzy and uncertain settings.

Findings

Enables natural language interaction in fuzzy environments

Supports real-time fuzzy control of organizational units

Facilitates multi-lingual communication under uncertainty

Abstract

Human-Computer Interaction with the traditional User Interface is done using a specified in advance script dialog menu, mainly based on human intellect and unproductive use of navigation. This approach does not lead to making qualitative decision in control systems, where the situations and processes cannot be structured in advance. Any dynamic changes in the controlled business process (as example, in organizational unit of the information fuzzy control system) make it necessary to modify the script dialogue in User Interface. This circumstance leads to a redesign of the components of the User Interface and of the entire control system. In the Intelligent User Interface, where the dialog situations are unknown in advance, fuzzy structured and artificial intelligence is crucial, the redesign described above is impossible. To solve this and other problems, we propose the data, information and knowledge based technology of Smart/ Intelligent User Interface (IUI) design, which interacts with users and systems in natural and other languages, utilizing the principles of Situational Control and Fuzzy Logic theories, Artificial Intelligence, Linguistics, Knowledge Base technologies and others. The proposed technology of IUI design is defined by multi-agents of Situational Control and of data, information and knowledge, modelling of Fuzzy Logic Inference, Generalization, Representation and Explanation of knowledge, Planning and Decision-making, Dialog Control, Reasoning and Systems Thinking, Fuzzy Control of organizational unit in real-time, fuzzy conditions, heterogeneous domains, and multi-lingual communication under uncertainty and in Fuzzy Environment.