ADAPTIVE INFORMATION SYSTEMS FOR PEOPLE WITH DISABILITIES: A HUMAN-CENTERED COMPUTING PERSPECTIVE

Abstract

The design and implementation of adaptive information systems (AIS) for
people with disabilities are critical to ensuring inclusive digital environments.
Human-centered computing (HCC) plays a vital role in shaping AIS by focusing on
the needs, preferences, and capabilities of users with disabilities. This paper explores
the development of AIS from a human-centered computing perspective, identifying
key challenges and innovative solutions that enhance accessibility and usability. By
examining various technologies, including assistive devices, adaptive interfaces, and
personalized services, this paper proposes a framework for designing AIS that
prioritizes user experience, flexibility, and inclusivity. Moreover, we discuss the role
of emerging technologies like artificial intelligence, machine learning, and natural
language processing in creating adaptive systems that respond to individual needs.
Through a case study approach, this paper highlights successful implementations
and potential future directions for AIS, offering insights into how these systems can
improve the quality of life for people with disabilities.