TY - GEN
T1 - A Privacy-Aware Browser Extension to Track User Search Behavior for Programming Course Supplement
AU - Makhlouf, Jihed
AU - Arakawa, Yutaka
AU - Watanabe, Ko
N1 - Funding Information:
This work was partially supported by JST CREST ?Behavior change and harmonious collaboration by experiential supplements? (JPMJCR16E1).
Publisher Copyright:
© 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
PY - 2022
Y1 - 2022
N2 - There is an abundant and constantly growing amount of information that can be retrieved from online resources. Moreover, the access to such resources is becoming more and more convenient. Yet, finding the exact needed information is not easy, especially for programming search queries. In this paper, we present TrackThinkTS, a privacy-aware browser extension. It tracks users’ behaviors when navigating the web. The extension logs various user actions related to tab management, search query, browsing, and clipboard management. The extension is built with a privacy-first mindset. In fact, the users have full control over the registered logs, they can manage, update and export the logs in a completely transparent way. The vision behind this work is twofold. On one hand, we aim to investigate the web search behavior of programming students and detect patterns of a successful search. On the other hand, the objective is to build a knowledge base that will serve as a course supplement for programming students. Therefore, the proposed extension in this paper is one of the building blocks of the whole system. Data collected from this extension will be also synchronized with log data coming from an online IDE used by programming students during the experiment phase.
AB - There is an abundant and constantly growing amount of information that can be retrieved from online resources. Moreover, the access to such resources is becoming more and more convenient. Yet, finding the exact needed information is not easy, especially for programming search queries. In this paper, we present TrackThinkTS, a privacy-aware browser extension. It tracks users’ behaviors when navigating the web. The extension logs various user actions related to tab management, search query, browsing, and clipboard management. The extension is built with a privacy-first mindset. In fact, the users have full control over the registered logs, they can manage, update and export the logs in a completely transparent way. The vision behind this work is twofold. On one hand, we aim to investigate the web search behavior of programming students and detect patterns of a successful search. On the other hand, the objective is to build a knowledge base that will serve as a course supplement for programming students. Therefore, the proposed extension in this paper is one of the building blocks of the whole system. Data collected from this extension will be also synchronized with log data coming from an online IDE used by programming students during the experiment phase.
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U2 - 10.1007/978-3-030-94822-1_51
DO - 10.1007/978-3-030-94822-1_51
M3 - Conference contribution
AN - SCOPUS:85125254216
SN - 9783030948214
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 783
EP - 796
BT - Mobile and Ubiquitous Systems
A2 - Hara, Takahiro
A2 - Yamaguchi, Hirozumi
PB - Springer Science and Business Media Deutschland GmbH
T2 - 18th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2021
Y2 - 8 November 2021 through 11 November 2021
ER -