An exploratory study of users' health information search performance and challenges in using Google assistant
Thursday, April 5th, 12:45pm-1:45pm EST
Manning Hall, room 14
Remote attendance from your computer, tablet or smartphone: https://global.gotomeeting.com/join/962151093
You can also dial in using your phone: United States: +1 (571) 317-3112 / Access Code: 962-151-093
Students in the Professional Science Master’s in Biomedical and Health Informatics Program complete an internship that synthesizes knowledge gleaned from the program curriculum. The purpose of the internship is to expand classroom learning to include “hands-on” experience in health IT, in the context of a particular industry sector.
Zhaopeng Xing, a PSM in Biomedical and Health Informatics student, will be presenting his internship project: An exploratory study of users' health information search performance and challenges in using Google assistant on Thursday, April 5 at 12:45pm EST.
Abstract: The emergence of intelligent conversational assistants (ICAs) has revolutionized human’s access to online information but the use of voice search for online health information via ICAs, such as Google assistant, is still limited. One of the major challenges is that health-related searches through voice-enabled agents demand user’s significant interactions, which probably leads to an arduous search experience. However, there have been few studies that empirically investigated this barrier from user’s information seeking behavior perspective. This pilot study analyzed this challenge by examining the difference of users’ health information search performance (HISP) between using Google Assistant (GA) and using Google Mobile Application (GMA) to complete a fact-finding, exploratory and mixed task. User’s perceived difficulties in using ICAs for health search purposes were also explored using mixed methods. The results revealed that 1) the use of GA facilitated users’ HISP in the fact-checking task but impeded the search process of the exploratory and mixed task; 2) users’ PD in different stages of the search process was affected by the use of GA.
If you would like to attend, please email Mariell Ruiz at mariell@unc.edu