Human–Computer Interaction: Enhancing User Experience through Intelligent, Adaptive and Inclusive Interface Design

Abstract

The swift innovation in the field of artificial intelligence, ubiquitous sensing and multimodal interaction has revolutionized the way individuals interact with interactive systems in various fields (education, healthcare, entertainment and public services). However, there are still numerous interfaces that are not personalized or with static interfaces that are not non-personalized resulting in cognitive overload and frustration and barriers to users with varying abilities and situations. The paper introduces a single model of smart, adaptive, and inclusive interface design that builds on the use of user modeling, context awareness, and AI-based adaptation to improve user experience (UX). We take a synthesis of major literature related to adaptive interfaces, recommender systems, accessibility and affective computing and suggest an architecture to combine sensory, inference, adaptation, and evaluation elements. An example of an intelligent dashboard with layout, content density and interaction modality customized to user ability, taste and real-time behavioral cues is discussed to provide a proof-of-concept implementation. Mixed-method assessment using representative users shows that there are increased efficiency and perceived usability and perceived inclusion in comparison to a non- adaptive baseline. The paper also ends with a research direction and design implications on how to deploy intelligent, adaptive and inclusive interfaces towards safety critical and/or cross-cultural settings.