TY - GEN
T1 - Initial evaluation of system for visualizing novices' unaware search intentions by analyzing behaviors of article selection
AU - Onuma, Ryo
AU - Nakayama, Hiroki
AU - Kawawa, Yota
AU - Kaminaga, Hiroaki
AU - Miyadera, Youzou
AU - Nakamura, Shoichi
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported in part by Japan Society for the Promotion of Science under Grant-in-Aid for Young Scientists (No. 19K14309).
Publisher Copyright:
© 2020 IEEE.
PY - 2020/12/8
Y1 - 2020/12/8
N2 - 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.
AB - 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.
KW - Extraction of promising pages
KW - Page selection
KW - Search direction
KW - Search intention
KW - Springboard
UR - http://www.scopus.com/inward/record.url?scp=85102974806&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85102974806&partnerID=8YFLogxK
U2 - 10.1109/TALE48869.2020.9368364
DO - 10.1109/TALE48869.2020.9368364
M3 - Conference contribution
AN - SCOPUS:85102974806
T3 - Proceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020
SP - 392
EP - 397
BT - Proceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020
A2 - Mitsuhara, Hiroyuki
A2 - Goda, Yoshiko
A2 - Ohashi, Yutato
A2 - Rodrigo, Ma. Mercedes T.
A2 - Shen, Jun
A2 - Venkatarayalu, Neelakantam
A2 - Wong, Gary
A2 - Yamada, Masanori
A2 - Chi-Un Lei, Leon
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020
Y2 - 8 December 2020 through 11 December 2020
ER -