{"title":"How far will you go?: characterizing and predicting online search stopping behavior using information scent and need for cognition","authors":"Wan-Ching Wu","doi":"10.1145/2484028.2484232","DOIUrl":null,"url":null,"abstract":"1. ABSTRACT Predicting when online searchers terminate search for information tasks without obvious end-points is a challenging task. Previous research concludes that people stop based on intuitions of enough [4], yet few studies have systematically examined online search stopping behavior. For open-ended search tasks, searchers often have to reformulate their queries in order to obtain a sufficient amount of information, which means that before searchers quit searching for a task entirely (stopping at the task level), they also stop result evaluation for different queries during the search (stopping at the query level).","PeriodicalId":178818,"journal":{"name":"Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2484028.2484232","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
1. ABSTRACT Predicting when online searchers terminate search for information tasks without obvious end-points is a challenging task. Previous research concludes that people stop based on intuitions of enough [4], yet few studies have systematically examined online search stopping behavior. For open-ended search tasks, searchers often have to reformulate their queries in order to obtain a sufficient amount of information, which means that before searchers quit searching for a task entirely (stopping at the task level), they also stop result evaluation for different queries during the search (stopping at the query level).