Open AccessEffect of task on time spent reading as an implicit measure of interest
Author(s) -
Kellar Melanie,
Watters Carolyn,
Duffy Jack,
Shepherd Michael
Publication year - 2004
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.1450410119
Subject(s) - scrolling , reading (process) , computer science , task (project management) , relevance (law) , measure (data warehouse) , information retrieval , human–computer interaction , interface (matter) , artificial intelligence , data mining , management , maximum bubble pressure method , parallel computing , political science , law , economics , bubble
Information Filtering systems learn user preferences either through explicit or implicit feedback. However, requiring users to explicitly rate items as part of the interface interaction can place a large burden on the user. Implicit feedback removes the burden of explicit user ratings by transparently monitoring user behavior such as time spent reading, mouse movements and scrolling behavior. Previous research has shown that task may have an impact on the effectiveness of some implicit measures. In this work we report both qualitative and quantitative results of an initial study examining the relationship between user time spent reading and relevance for three web search tasks: relevance judgment, simple question answering and complex question answering. This study indicates that the usefulness of time spent as a measure of user interest is related to task and is more useful for more complex web search tasks. Future directions for this research are presented.