@inproceedings{7a5305aa181b43bf9682c4bb30e2395a,
title = "Health Information Delivery Using Audio",
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.",
keywords = "NLP, audio, health literacy, natural language processing, pilot study, text features",
author = "Arif Ahmed and Gondy Leroy",
note = "Funding Information: Research reported in this paper was supported by the National Library of Medicine of the National Institutes of Health under Award Number 2R01LM011975. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Publisher Copyright: {\textcopyright} 2022 IEEE.; 10th IEEE International Conference on Healthcare Informatics, ICHI 2022 ; Conference date: 11-06-2022 Through 14-06-2022",
year = "2022",
doi = "10.1109/ICHI54592.2022.00081",
language = "English (US)",
series = "Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "485",
booktitle = "Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022",
}