Marwa Trabelsi, Cyrille Suire, Jacques Morcos, R. Champagnat
{"title":"User-Centred Application for Modeling Journeys in Digital Libraries","authors":"Marwa Trabelsi, Cyrille Suire, Jacques Morcos, R. Champagnat","doi":"10.1109/JCDL52503.2021.00057","DOIUrl":null,"url":null,"abstract":"It has often been observed that there is a gap between designer-centered and user-centered applications for information systems. Digital libraries (DLs) are not far from this assumption. The decision-makers are almost reserved about their design regarding the actual users' interactions. In order to reduce this gap, it is necessary to model users' journeys and adapt DLs based on real users' activities. Analyzing the history of users' activities is useful to both, designers to offer appropriate recommendations and users to follow similar interactions and quickly achieve their objectives. In this paper, we present our tool to model the users' interactions in DLs. The tool allows visualizing, grouping and modeling users' journeys. We propose four methods to group similar users and integrate three algorithms to generate models according to users' seeking tasks.","PeriodicalId":112400,"journal":{"name":"2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCDL52503.2021.00057","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
It has often been observed that there is a gap between designer-centered and user-centered applications for information systems. Digital libraries (DLs) are not far from this assumption. The decision-makers are almost reserved about their design regarding the actual users' interactions. In order to reduce this gap, it is necessary to model users' journeys and adapt DLs based on real users' activities. Analyzing the history of users' activities is useful to both, designers to offer appropriate recommendations and users to follow similar interactions and quickly achieve their objectives. In this paper, we present our tool to model the users' interactions in DLs. The tool allows visualizing, grouping and modeling users' journeys. We propose four methods to group similar users and integrate three algorithms to generate models according to users' seeking tasks.