Investigating the Information Searching Behavior of Academic Users
Investigating the behavioral characteristics and the adaptive learning mechanism of users during their information searching is meaningful for the academic database providers to develop more effective search products and online learning environment. Based on the theories and models of reinforcement learning behavior, this research takes the freshmen and senior students from universities as user samples, experimentally observes the explicit behavioral and implicit psychological characteristics of their reinforcement learning in the process of search tasks performing, and further quantitatively simulates their reinforcement learning behavior in information seeking using the Bush-Mosteller model, BorgersSarinare model and Cross model. Finally, the paper gives some advices for the academic database providers to improve their service and build elearning platform to help the users manipulate the search products more effectively and efficiently.
reinforcement learning behavior information searching academic users behavior analysis and investigating
Bai CHEN
Institute of Scientific and Technical Information of China, Beijing China
国际会议
北京
英文
306-311
2011-06-07（万方平台首次上网日期，不代表论文的发表时间）