@inproceedings{87e7b68dc78748ea8867ca338936cdd1,
title = "Using Google Analytics with Health Information-Seeking Model to Evaluate the Design of Health Information Websites",
abstract = "Health information websites can be useful for information seekers, and their design is crucial for the success of accessing the needed information. While web analytical tools (e.g. Google Analytics) used by such websites can provide descriptive measures of users, there is a disconnection between this data and the current understanding of health information-seeking behaviour. In this work, we leverage a theoretical model to interpret the Google Analytics data. Drawn on the visualisation of user behaviours based on this model, our research shows that better website design can be informed, and the evaluation of health websites can be performed on the basis of different user profiles.",
keywords = "Google analytics, Health information-seeking behaviour",
author = "Pang, {Patrick Cheong Iao} and Megan Munsie and Shanton Chang",
note = "Publisher Copyright: {\textcopyright} 2024 International Medical Informatics Association (IMIA) and IOS Press.; 19th World Congress on Medical and Health Informatics, MedInfo 2023 ; Conference date: 08-07-2023 Through 12-07-2023",
year = "2024",
month = jan,
day = "25",
doi = "10.3233/SHTI231124",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "1046--1050",
editor = "Jen Bichel-Findlay and Paula Otero and Philip Scott and Elaine Huesing",
booktitle = "MEDINFO 2023 - The Future is Accessible",
address = "Netherlands",
}