Multimodal Interactions

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Authors: Achintya K. Bhowmik
Cited by: 0
References: 43

Abstract

Multimodal interactions represent a transformative leap in the design and functionality of VR and AR systems, merging diverse input modalities to create seamless, natural, and immersive human–computer interfaces. This chapter explores how multimodal interactions unify these diverse inputs to create natural and adaptive human–machine interfaces. It examines the advantages of multimodal systems, including enhanced robustness, accessibility, and a deeper sense of presence within virtual environments, as well as their limitations and future developments. The chapter helps the readers to have a comprehensive understanding of how multimodal interactions bridge the gap between human intuition and machine precision, setting the stage for the future of life-like user interfaces with immersive technologies. It discusses the core technologies underpinning multimodal systems, including sensor fusion frameworks, machine learning algorithms, adaptive system architectures, and hardware innovations. The chapter explores real-world applications of multimodal interactions in productivity tools, healthcare, education, gaming, and industrial workflows, demonstrating their transformative potential.

Fields of Study & Subjects

Interactive and Immersive Displays Virtual Reality Applications and Impacts Hand Gesture Recognition Systems

Publication details

Pages
503–523
Publication date
16 January 2026
Language
EN