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Future Reality: How Emerging Technologies Will Change Language Itself.

Ken Perlin

    IEEE Computer Graphics and Applications
    |January 24, 2017
    PubMed
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    Wearable technology and augmented reality are evolving beyond screens, potentially transforming human language. As these devices become ubiquitous, our communication methods will adapt to new, immersive digital environments.

    Area of Science:

    • Human-computer interaction
    • Linguistics
    • Technology adoption

    Background:

    • Technological advancements have progressively reduced the need for physical screens.
    • Consumer-grade virtual and augmented reality (VR/AR) technologies are becoming increasingly accessible.
    • Wearable devices are poised to integrate seamlessly into daily life.

    Purpose of the Study:

    • To explore the potential impact of ubiquitous wearable technology on human language.
    • To analyze how the evolution of human-computer interfaces influences communication.

    Main Methods:

    • Conceptual analysis of technological trends in computing and interface design.
    • Projection of future communication paradigms based on the integration of wearable technology.
    • Examination of the relationship between form factor evolution and linguistic adaptation.

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    Last Updated: Mar 8, 2026

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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    Main Results:

    • The increasing prevalence of screenless interfaces signifies a major shift in human-computer interaction.
    • Ubiquitous wearable technology, including advanced VR/AR, will create an environment where the 'screen' is pervasive.
    • This pervasive digital environment is predicted to drive significant evolution in human language use.

    Conclusions:

    • The future of computing lies in seamless integration with human experience, moving beyond traditional screens.
    • The widespread adoption of wearable technology will fundamentally alter how humans communicate.
    • Anticipating and understanding these linguistic shifts is crucial for future human-computer interaction research.