Critical information quality dimensions of conversational agents for healthcare

Introduction. The new generation of information technology changes the ways of information seeking. Conversational agents start to be applied in public to support information seeking and decision making and provide a variety of services to users such as healthcare education and consultation. The inf...

Full description

Saved in:
Bibliographic Details
Main Authors: Caihua Liu, Guochao Peng, Shufeng Kong, Chaowang Lan, Haoliang Zhu
Format: Article
Language:English
Published: University of Borås 2023-12-01
Series:Information Research: An International Electronic Journal
Subjects:
Online Access:https://informationr.net/infres/article/view/561
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832544569567215616
author Caihua Liu
Guochao Peng
Shufeng Kong
Chaowang Lan
Haoliang Zhu
author_facet Caihua Liu
Guochao Peng
Shufeng Kong
Chaowang Lan
Haoliang Zhu
author_sort Caihua Liu
collection DOAJ
description Introduction. The new generation of information technology changes the ways of information seeking. Conversational agents start to be applied in public to support information seeking and decision making and provide a variety of services to users such as healthcare education and consultation. The information quality of conversational agents for healthcare determines the quality of these services, while identifying critical dimensions used to assess the agents’ information quality that helps better strategise priorities for ensuring information quality has received limited attention in the literature. Method. This study conducted a questionnaire survey to investigate the critical dimensions of information quality of healthcare conversational agents. After excluding two responses from participants who declined to fill in the questionnaire, this study retained 231 responses for data analysis, out of the total 233 participants who initially responded to the survey. Analysis. The research describes the demographic information of the participants, the behavioural characteristics of using healthcare conversational agents, and the critical dimensions of information quality of the agents perceived by the participants in the survey, employing descriptive statistics. Furthermore, ANOVA was employed to compare the variances in the perceived importance of information quality dimensions between participants who had used a healthcare conversational agent and those who had not. Results. Understandability and trustworthiness were the two top concerns for the information quality of the agents from the participants’ perspective in this study. Conclusions. Results of the study show that the experience of using or not using the agents affected the participants’ perceived importance of the agent’ information quality dimensions.
format Article
id doaj-art-b4873dd3f5634ac48546a566516fe765
institution Kabale University
issn 1368-1613
language English
publishDate 2023-12-01
publisher University of Borås
record_format Article
series Information Research: An International Electronic Journal
spelling doaj-art-b4873dd3f5634ac48546a566516fe7652025-02-03T10:10:35ZengUniversity of BoråsInformation Research: An International Electronic Journal1368-16132023-12-01284184210.47989/ir284561558Critical information quality dimensions of conversational agents for healthcareCaihua Liu0Guochao Peng1Shufeng Kong2Chaowang Lan3Haoliang Zhu4Guilin University of Electronic TechnologySun Yat-sen University Sun Yat-sen University Guilin University of Electronic TechnologyNanning University Introduction. The new generation of information technology changes the ways of information seeking. Conversational agents start to be applied in public to support information seeking and decision making and provide a variety of services to users such as healthcare education and consultation. The information quality of conversational agents for healthcare determines the quality of these services, while identifying critical dimensions used to assess the agents’ information quality that helps better strategise priorities for ensuring information quality has received limited attention in the literature. Method. This study conducted a questionnaire survey to investigate the critical dimensions of information quality of healthcare conversational agents. After excluding two responses from participants who declined to fill in the questionnaire, this study retained 231 responses for data analysis, out of the total 233 participants who initially responded to the survey. Analysis. The research describes the demographic information of the participants, the behavioural characteristics of using healthcare conversational agents, and the critical dimensions of information quality of the agents perceived by the participants in the survey, employing descriptive statistics. Furthermore, ANOVA was employed to compare the variances in the perceived importance of information quality dimensions between participants who had used a healthcare conversational agent and those who had not. Results. Understandability and trustworthiness were the two top concerns for the information quality of the agents from the participants’ perspective in this study. Conclusions. Results of the study show that the experience of using or not using the agents affected the participants’ perceived importance of the agent’ information quality dimensions.https://informationr.net/infres/article/view/561information qualitycritical dimensionsconversational agentshealthcare informationparticipants' perspective
spellingShingle Caihua Liu
Guochao Peng
Shufeng Kong
Chaowang Lan
Haoliang Zhu
Critical information quality dimensions of conversational agents for healthcare
Information Research: An International Electronic Journal
information quality
critical dimensions
conversational agents
healthcare information
participants' perspective
title Critical information quality dimensions of conversational agents for healthcare
title_full Critical information quality dimensions of conversational agents for healthcare
title_fullStr Critical information quality dimensions of conversational agents for healthcare
title_full_unstemmed Critical information quality dimensions of conversational agents for healthcare
title_short Critical information quality dimensions of conversational agents for healthcare
title_sort critical information quality dimensions of conversational agents for healthcare
topic information quality
critical dimensions
conversational agents
healthcare information
participants' perspective
url https://informationr.net/infres/article/view/561
work_keys_str_mv AT caihualiu criticalinformationqualitydimensionsofconversationalagentsforhealthcare
AT guochaopeng criticalinformationqualitydimensionsofconversationalagentsforhealthcare
AT shufengkong criticalinformationqualitydimensionsofconversationalagentsforhealthcare
AT chaowanglan criticalinformationqualitydimensionsofconversationalagentsforhealthcare
AT haoliangzhu criticalinformationqualitydimensionsofconversationalagentsforhealthcare