@inproceedings{a4ed2ec6d31b41e3a7cd082ebe98c765,
title = "Evaluating engagement physiologically and knowledge retention subjectively through two different learning techniques",
abstract = "This paper describes the findings of a replication study conducted at a different location. This study measures the engagement level of participants objectively from two learning techniques: video game and handout (traditional way of learning). This paper may help other researchers design their own Brain-Computer Interface study to measure engagement. In addition, the results of this paper shows a correlation analysis between Engagement (measured physiologically) and knowledge measurement (subjective data). Further, this paper describes briefly the limitations of the Emotiv non-invasive EEG device, which may help researchers and developers understand the device more.",
keywords = "Brain-Computer Interface, Emotions in HCI, Passive BCI",
author = "Marvin Andujar and Ekandem, {Josh I.} and Gilbert, {Juan E.} and Patricia Morreale",
year = "2013",
doi = "10.1007/978-3-642-39262-7_38",
language = "English",
isbn = "9783642392610",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "335--342",
booktitle = "Human-Computer Interaction",
edition = "PART 2",
note = "15th International Conference on Human-Computer Interaction, HCI International 2013 ; Conference date: 21-07-2013 Through 26-07-2013",
}