Initial evaluation of system for visualizing novices' unaware search intentions by analyzing behaviors of article selection

Ryo Onuma, Hiroki Nakayama, Yota Kawawa, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020
EditorsHiroyuki Mitsuhara, Yoshiko Goda, Yutato Ohashi, Ma. Mercedes T. Rodrigo, Jun Shen, Neelakantam Venkatarayalu, Gary Wong, Masanori Yamada, Leon Chi-Un Lei
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages392-397
Number of pages6
ISBN (Electronic)9781728169422
DOIs
Publication statusPublished - 2020 Dec 8
Event2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020 - Virtual, Takamatsu, Japan
Duration: 2020 Dec 82020 Dec 11

Publication series

NameProceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020

Conference

Conference2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020
CountryJapan
CityVirtual, Takamatsu
Period20/12/820/12/11

Keywords

  • Extraction of promising pages
  • Page selection
  • Search direction
  • Search intention
  • Springboard

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Media Technology
  • Education

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