RT info:eu-repo/semantics/article
T1 A Proposed Method of Automating Data Processing for Analysing Data Produced from Eye Tracking and Galvanic Skin Response
A1 Sáez García, Javier
A1 Sáiz Manzanares, María Consuelo
A1 Marticorena Sánchez, Raúl
K1 Eye tracking
K1 Galvanic skin response
K1 Behavioural monitoring
K1 Learning process
K1 Data processing
K1 Enseñanza superior
K1 Education, Higher
K1 Tecnología
K1 Technology
K1 Psicología
K1 Psychology
K1 Informática
K1 Computer science
AB The use of eye tracking technology, together with other physiological measurements such as psychogalvanic skin response (GSR) and electroencephalographic (EEG) recordings, provides researchers with information about users’ physiological behavioural responses during their learning process in different types of tasks. These devices produce a large volume of data. However, in order to analyse these records, researchers have to process and analyse them using complex statistical and/or machine learning techniques (supervised or unsupervised) that are usually not incorporated into the devices. The objectives of this study were (1) to propose a procedure for processing the extracted data; (2) to address the potential technical challenges and difficulties in processing logs in integrated multichannel technology; and (3) to offer solutions for automating data processing and analysis. A Notebook in Jupyter is proposed with the steps for importing and processing data, as well as for using supervised and unsupervised machine learning algorithms.
PB MDPI
YR 2024
FD 2024
LK http://hdl.handle.net/10259/10273
UL http://hdl.handle.net/10259/10273
LA eng
NO Project “Voice assistants and artificial intelligence in Moodle: a path towards a smart university” SmartLearnUni. Call 2020 R&D&I Projects—RTI Type B. MINISTRY OF SCIENCE AND INNOVATION AND UNIVERSITIES. STATE RESEARCH AGENCY. Government of Spain, grant number PID2020-117111RB-I00”. Specifically, in the part concerning the application of multi-channel eye tracking technology with university students and Project “Specialized and updated training on supporting advance technologies for early childhood education and care professionals and graduates” (eEarlyCare-T) grant number 2021-1-ES01-KA220-SCH-000032661 funded by the EUROPEAN COMMISSION. In particular, the funding has enabled the development of the e-learning classroom and educational materials.
DS Repositorio Institucional de la Universidad de Burgos
RD 14-mar-2025