A Proposed Method of Automating Data Processing for Analysing Data Produced from Eye Tracking and Galvanic Skin Response
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 differen...
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MDPI AG
2024-11-01
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| Series: | Computers |
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| Online Access: | https://www.mdpi.com/2073-431X/13/11/289 |
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| author | Javier Sáez-García María Consuelo Sáiz-Manzanares Raúl Marticorena-Sánchez |
| author_facet | Javier Sáez-García María Consuelo Sáiz-Manzanares Raúl Marticorena-Sánchez |
| author_sort | Javier Sáez-García |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-7e2025d1e5a440c5a900c5f83f8ac0f5 |
| institution | Kabale University |
| issn | 2073-431X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computers |
| spelling | doaj-art-7e2025d1e5a440c5a900c5f83f8ac0f52024-11-26T17:58:20ZengMDPI AGComputers2073-431X2024-11-01131128910.3390/computers13110289A Proposed Method of Automating Data Processing for Analysing Data Produced from Eye Tracking and Galvanic Skin ResponseJavier Sáez-García0María Consuelo Sáiz-Manzanares1Raúl Marticorena-Sánchez2Higher Polytechnic School (Campus Milanera), Universidad de Burgos, 09001 Burgos, SpainDepartment of Health Sciences, GIR DATAHES, UIC JCYL No. 348, Universidad de Burgos, 09001 Burgos, SpainADMIRABLE Research Group, Department of Computer Engineering, Higher Polytechnic School (Campus Vena), Universidad de Burgos, 09006 Burgos, SpainThe 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.https://www.mdpi.com/2073-431X/13/11/289eye trackinggalvanic skin responsebehavioural monitoringlearning processdata processing |
| spellingShingle | Javier Sáez-García María Consuelo Sáiz-Manzanares Raúl Marticorena-Sánchez A Proposed Method of Automating Data Processing for Analysing Data Produced from Eye Tracking and Galvanic Skin Response Computers eye tracking galvanic skin response behavioural monitoring learning process data processing |
| title | A Proposed Method of Automating Data Processing for Analysing Data Produced from Eye Tracking and Galvanic Skin Response |
| title_full | A Proposed Method of Automating Data Processing for Analysing Data Produced from Eye Tracking and Galvanic Skin Response |
| title_fullStr | A Proposed Method of Automating Data Processing for Analysing Data Produced from Eye Tracking and Galvanic Skin Response |
| title_full_unstemmed | A Proposed Method of Automating Data Processing for Analysing Data Produced from Eye Tracking and Galvanic Skin Response |
| title_short | A Proposed Method of Automating Data Processing for Analysing Data Produced from Eye Tracking and Galvanic Skin Response |
| title_sort | proposed method of automating data processing for analysing data produced from eye tracking and galvanic skin response |
| topic | eye tracking galvanic skin response behavioural monitoring learning process data processing |
| url | https://www.mdpi.com/2073-431X/13/11/289 |
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