Publications by authors named "Hyun In Jo"

Because soundscapes affect human health and comfort, methodologies for evaluating them through physiological responses have attracted considerable attention. In this study, we proposed a novel method for evaluating visual attention by using eye-tracking technology to objectively assess soundscape perception. The study incorporated questionnaire surveys and physiological measurements focusing on visual attention responses.

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Noise sensitivity is a crucial factor affecting subjective psychophysiological responses to the acoustic environment of various indoor and outdoor spaces. This study examines how noise sensitivity or hyperacusis affects the recovery of emotional and autonomic nervous system (ANS) responses when experiencing various monoscopic 360 video and stereoscopic sound environments (urban and natural) that represent the actual environment. A total of 60 general participants with mild depression, stress, and anxiety were examined using a survey to investigate individual characteristics, including noise sensitivity, and K-means clustering was used to classify them into sensitivity groups.

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Article Synopsis
  • Pneumonia can be a severe illness often diagnosed too late through typical physical and imaging tests, leading to complications or death.
  • Researchers aimed to create an AI-based algorithm to diagnose pneumonia by analyzing cough sounds, using parameters like loudness and energy ratio to assess the sounds.
  • The AI algorithm demonstrated impressive performance, achieving 90% sensitivity and 84.9% overall accuracy in diagnosing pneumonia from cough sounds, significantly outperforming human pulmonologists, who only had 56.4% accuracy.
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