Gaze movement analysis examined how people view and interact with health information on Facebook pages

Author:

Syn Sue Yeon1ORCID

Affiliation:

1. Department of Library and Information Science The Catholic University of America Washington DC USA

Abstract

AbstractBackgroundGaze movement analysis is a human–computer interaction analysis method to assess time and viewing patterns of screen pages.Aims/ObjectivesThis study examines Facebook users' health information viewing patterns and identifies social media interface factors that affect users' health information behaviour on Facebook. The findings of this study should help researchers and health information providers understand how Facebook is used, and how users might be appraising information viewed.MethodsThis study investigated gaze movement data collected from 48 participants while participants were viewing Facebook pages that presented health‐related posts. Each session was designed to represent four health information sources and four health topics. Each session included an exit interview for a better interpretation of data.ResultsParticipants spent the most time viewing the content of the posts, particularly post images. Findings revealed that users' viewing patterns differed when different health topics were presented, but not according to the type of information provider. However, the study showed that users check the Facebook page's banner to verify the health information provider's identity.ConclusionThis study indicates what health information consumers look for on Facebook when finding, appraising, and reacting to, or sharing health‐related content.

Funder

Catholic University of America

Publisher

Wiley

Subject

Health Information Management,Library and Information Sciences,Health Informatics

Reference36 articles.

1. Predicting the success of Twitter in healthcare

2. Eye Tracking Analysis of User Behavior in Online Social Networks

3. The Effect of Web Search Result Display on Users’ Perceptual Experience and Information Seeking Performance

4. Auxier B. &Anderson M.(2021).Social media use in 2021. Pew Research Centerhttps://www.pewresearch.org/internet/wp‐content/uploads/sites/9/2021/04/PI_2021.04.07_Social‐Media‐Use_FINAL.pdf

5. Do users look at banner ads on Facebook?

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3