{"title":"Generating Tasks for Study of Struggling Search","authors":"Luyan Xu, Xuan Zhou","doi":"10.1145/3295750.3298949","DOIUrl":null,"url":null,"abstract":"Interactive information-seeking systems are designed to help users with their struggling during the searching for complex fact checking tasks, where a searcher may have clear information needs but experience difficulty in collecting required information. However, evaluation and comparison of such systems requires a large number of such tasks, which are difficult to collect or make up. To the best of our knowledge, there has not been a commonly used task set for evaluating struggling search of this kind. This paper proposes a convenient method to generate complex fact checking tasks. Each of the generated task has a clearly defined goal, which however takes an average searcher a significant amount of effort to reach. We conducted lab user studies to verify the feasibility of this method. The results confirmed its feasibility and efficiency.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3295750.3298949","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Interactive information-seeking systems are designed to help users with their struggling during the searching for complex fact checking tasks, where a searcher may have clear information needs but experience difficulty in collecting required information. However, evaluation and comparison of such systems requires a large number of such tasks, which are difficult to collect or make up. To the best of our knowledge, there has not been a commonly used task set for evaluating struggling search of this kind. This paper proposes a convenient method to generate complex fact checking tasks. Each of the generated task has a clearly defined goal, which however takes an average searcher a significant amount of effort to reach. We conducted lab user studies to verify the feasibility of this method. The results confirmed its feasibility and efficiency.