Health Information Delivery Using Audio

Arif Ahmed, Gondy Leroy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Health literacy is necessary for achieving and maintaining good health and is listed as an important national goal. As text is generally cost-effective and efficient for delivering health information, medical information is provided over text in the past decade. Nowadays, virtual assistants and smart speakers have become popular, and information retrieval using this technology has increased substantially. We aim to find out the text/audio features that affect information comprehension and retention. We have collected a text corpus from multiple sources and conducted a pilot study on Amazon Mechanical Turk (MT) for generalizability. Worker's responses give an indication of a positive correlation with text difficulty.

Original languageEnglish (US)
Title of host publicationProceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages485
Number of pages1
ISBN (Electronic)9781665468459
DOIs
StatePublished - 2022
Event10th IEEE International Conference on Healthcare Informatics, ICHI 2022 - Rochester, United States
Duration: Jun 11 2022Jun 14 2022

Publication series

NameProceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022

Conference

Conference10th IEEE International Conference on Healthcare Informatics, ICHI 2022
Country/TerritoryUnited States
CityRochester
Period6/11/226/14/22

Keywords

  • NLP
  • audio
  • health literacy
  • natural language processing
  • pilot study
  • text features

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Health Informatics

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