International Journal of Networked and Distributed Computing

Volume 1, Issue 4, November 2013, Pages 187 - 195

Utilizing Human-Computer Interaction Data to Extract User Interests from Web-based Learning Systems

Authors
Yücel Ugurlu
Corresponding Author
Yücel Ugurlu
Available Online 15 October 2017.
DOI
https://doi.org/10.2991/ijndc.2013.1.4.1How to use a DOI?
Keywords
Web-based learning, context recognition, graphical programming, human-computer interaction
Abstract
We propose a novel approach by utilizing human-computer interaction data to extract user interests from web-based learning systems. The proposed approach is based on user access and a wearable context recognition system. Under our approach, a series of screen images are captured by an imaging device worn by users engaged in web-based learning. These images help in detecting specific vendor logo information, which is then used to deduce the web-based learning context. The compiled history of recognized context and learning access is finally compared to extract user interests. Experimental results show that the proposed approach is robust, and can identify the relevant context in 96% of cases. The proposed method was successfully applied to 16 users for 1 h of learning time to extract high and low interest topics from web-based learning systems.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Networked and Distributed Computing
Volume-Issue
1 - 4
Pages
187 - 195
Publication Date
2017/10
ISSN (Online)
2211-7946
ISSN (Print)
2211-7938
DOI
https://doi.org/10.2991/ijndc.2013.1.4.1How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Yücel Ugurlu
PY  - 2017
DA  - 2017/10
TI  - Utilizing Human-Computer Interaction Data to Extract User Interests from Web-based Learning Systems
JO  - International Journal of Networked and Distributed Computing
SP  - 187
EP  - 195
VL  - 1
IS  - 4
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.2013.1.4.1
DO  - https://doi.org/10.2991/ijndc.2013.1.4.1
ID  - Ugurlu2017
ER  -