{"title":"Investigating Users' Query Formulations in Consumer Health Search","authors":"Soichiro Hamajima, Takehiro Yamamoto, Hiroaki Ohshima","doi":"10.1109/iiai-aai53430.2021.00066","DOIUrl":null,"url":null,"abstract":"While many people search the Web for familiar health information, the quality of that information varies widely. In this study, we focus on the queries that current users use to search for health information. Therefore, queries made by current users needed to be collected. For this purpose, we conducted an experiment to collect queries using crowdsourcing. In the experiment, participants were given the task of creating a query for health information, and then the queries were collected and annotated. Finally, we analyzed the user-generated query pattern and the relationship between the query terms, search expertise, and e- Health literacy.","PeriodicalId":414070,"journal":{"name":"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iiai-aai53430.2021.00066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
While many people search the Web for familiar health information, the quality of that information varies widely. In this study, we focus on the queries that current users use to search for health information. Therefore, queries made by current users needed to be collected. For this purpose, we conducted an experiment to collect queries using crowdsourcing. In the experiment, participants were given the task of creating a query for health information, and then the queries were collected and annotated. Finally, we analyzed the user-generated query pattern and the relationship between the query terms, search expertise, and e- Health literacy.
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