Narrative Review of Support for Emotional Expressions in Virtual Reality: Psychophysiology of speech-to-text interfaces
<|reference_start|>Narrative Review of Support for Emotional Expressions in Virtual Reality: Psychophysiology of speech-to-text interfaces: This narrative review on emotional expression in Speech-to-Text (STT) interfaces with Virtual Reality (VR) aims to identify advancements, limitations, and research gaps in incorporating emotional expression into transcribed text generated by STT systems. Using a rigorous search strategy, relevant articles published between 2020 and 2024 are extracted and categorized into themes such as communication enhancement technologies, innovations in captioning, emotion recognition in AR and VR, and empathic machines. The findings reveal the evolution of tools and techniques to meet the needs of individuals with hearing impairments, showcasing innovations in live transcription, closed captioning, AR, VR, and emotion recognition technologies. Despite improvements in accessibility, the absence of emotional nuance in transcribed text remains a significant communication challenge. The study underscores the urgency for innovations in STT technology to capture emotional expressions. The research discusses integrating emotional expression into text through strategies like animated text captions, emojilization tools, and models associating emotions with animation properties. Extending these efforts into AR and VR environments opens new possibilities for immersive and emotionally resonant experiences, especially in educational contexts. The study also explores empathic applications in healthcare, education, and human-robot interactions, highlighting the potential for personalized and effective interactions. The multidisciplinary nature of the literature underscores the potential for collaborative and interdisciplinary research.<|reference_end|>
@article{ubur2024narrative,
    title={Narrative Review of Support for Emotional Expressions in Virtual
  Reality: Psychophysiology of speech-to-text interfaces},
    author={Sunday David Ubur, Denis Gracanin},
    journal={arXiv preprint arXiv:2405.13924},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.13924},
    primaryClass={cs.HC}
}