Volume 1, Issue 4, November 2013, Pages 187 - 195
Utilizing Human-Computer Interaction Data to Extract User Interests from Web-based Learning Systems
- Yücel Ugurlu
- Corresponding Author
- Yücel Ugurlu
Available Online 15 October 2017.
- https://doi.org/10.2991/ijndc.2013.1.4.1How to use a DOI?
- Web-based learning, context recognition, graphical programming, human-computer interaction
- 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.
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 -