Title
Initial Evaluation of System for Visualizing Novices’ Unaware Search Intentions by Analyzing Behaviors of Article Selection
Abstract
With the increasing diversity and complexity of the Web, skills for online exploration have become more and more important. People typically obtain such skills by gaining experience with classifying and organizing acquired Web pages, creating search queries. However, it is difficult for unskilled people to get the opportunity for meaningful experience. In this research, we aim to develop a mechanism for utilizing the intentions of inexperienced searchers to cultivate exploration skills in realistic way. To achieve this goal, we focused on the attention paid by a searcher to specific pages during the search process. After analyzing this behavior, we developed several methods for extracting clues that embody the searcher's unaware intentions for use in further exploration. Then, with these methods as a basis, we designed a system for visualizing unaware intentions to promote the experience of exploration in novices. Experimental results using a prototype demonstrate the effectiveness of our methods.
Year
DOI
Venue
2020
10.1109/TALE48869.2020.9368364
2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)
Keywords
DocType
ISSN
search intention,page selection,search direction,springboard,extraction of promising pages
Conference
2374-0191
ISBN
Citations 
PageRank 
978-1-7281-6943-9
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Ryo Onuma100.34
Hiroki Nakayama200.34
Yota Kawawa300.34
Hiroaki Kaminaga400.34
Youzou Miyadera500.34
Shoichi Nakamura600.34