Adaptive Interaction Using the Adaptive Agent Oriented Software Architecture (AAOSA)

TL;DR

This paper introduces AAOSA, an agent-oriented architecture for designing adaptive user interfaces that communicate and learn concurrently, enhancing system adaptability through distributed learning policies.

Contribution

It presents a novel agent-oriented architecture for adaptive interfaces, emphasizing concurrent communication and distributed learning for improved adaptability.

Findings

Demonstrates the architecture's ability to adapt interfaces effectively.

Shows improved system responsiveness through distributed learning.

Validates the approach with experimental results.

Abstract

User interfaces that adapt their characteristics to those of the user are referred to as adaptive interfaces. We propose Adaptive Agent Oriented Software Architecture (AAOSA) as a new way of designing adaptive interfaces. AAOSA is a new approach to software design based on an agent-oriented architecture. In this approach agents are considered adaptively communicating concurrent modules which are divided into a white box module responsible for the communications and learning, and a black box which is responsible for the independent specialized processes of the agent. A distributed learning policy that makes use of this architecture is used for purposes of system adaptability.