@inproceedings{8ddb2d9b6c71422a9df20c976e23eb7b,
title = "Evaluation of user{\textquoteright}s affective engagement while interacting with educational technologies: A pilot study",
abstract = "There are several educational technologies developed to enforce learning in computing. These tools success have generally been studied through subjective measurement. However, subjective data may be inaccurate due to users not providing exact information. Therefore, validity may be of concern. Human-Computer Interaction (HCI) researchers have recently implementing neurophysiological tools towards their user studies for subjective data support. This paper presents an exploratory user study to implement neurophysiological tools to gather objective data to evaluate the usefulness of educational technologies. A between-subject study was conducted comparing Alice and App Inventor user{\textquoteright}s affective engagement levels. The results showed no statistical significant. Lastly, this paper can serve as a short guideline on how to adapt neurophysiological tools towards their user studies.",
keywords = "Affective brain-computer interfaces, Affective engagement, Brain-Computer interfaces, Educational technologies, Human-computer interaction",
author = "Marvin Andujar and Patricia Morreale and Yerika Jimenez and Luis Jimenez and Gilbert, {Juan E.}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2017.; International Conference on Neuroergonomics and Cognitive Engineering, 2016 ; Conference date: 27-07-2016 Through 31-07-2016",
year = "2017",
doi = "10.1007/978-3-319-41691-5_9",
language = "English",
isbn = "9783319416908",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "97--105",
editor = "Hale, {Kelly S.} and Stanney, {Kay M.}",
booktitle = "Advances in Neuroergonomics and Cognitive Engineering - Proceedings of the AHFE International Conference on Neuroergonomics and Cognitive Engineering, 2016",
}