TY - GEN
T1 - Analysis of Psychological Test Data by using K-means Method
AU - Sarango, Angel Alberto Jiménez
AU - Patiño, Andrés
AU - Acosta-Urigüen, María Inés
AU - Sanchez, Juan Gabriel Flores
AU - Cedillo, Priscila
AU - Orellana, Marcos
N1 - Publisher Copyright:
Copyright © 2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.
PY - 2022
Y1 - 2022
N2 - The Stroop test also called the colors and words test, is a widely used attention test to detect neuropsychological problems. Moreover, the stress test is a psychological instrument used to diagnose the level of stress and to identify the most common symptoms. This research aims to evaluate whether there is a relationship between the score of the Stroop test and the participant's level of stress. Data are collected through a web application, where participants answered the stress test and completed the Stroop test. Several variables were collected, such as the precision of each answer, the time spent, and demographic information. The machine learning technique called k-means was applied to process the collected data; the results include clusters of unlabeled data to find relationships. The main findings show that a person's stress level is directly linked to the number of correct answers obtained in the Stroop test; according to the clusters that show higher stress levels, the number of correct answers decreased progressively.
AB - The Stroop test also called the colors and words test, is a widely used attention test to detect neuropsychological problems. Moreover, the stress test is a psychological instrument used to diagnose the level of stress and to identify the most common symptoms. This research aims to evaluate whether there is a relationship between the score of the Stroop test and the participant's level of stress. Data are collected through a web application, where participants answered the stress test and completed the Stroop test. Several variables were collected, such as the precision of each answer, the time spent, and demographic information. The machine learning technique called k-means was applied to process the collected data; the results include clusters of unlabeled data to find relationships. The main findings show that a person's stress level is directly linked to the number of correct answers obtained in the Stroop test; according to the clusters that show higher stress levels, the number of correct answers decreased progressively.
KW - Clustering
KW - K-means
KW - Machine Learning
KW - Stress
KW - Stroop
UR - https://www.scopus.com/pages/publications/85140995089
U2 - 10.5220/0011046900003188
DO - 10.5220/0011046900003188
M3 - Contribución a la conferencia
AN - SCOPUS:85140995089
T3 - International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE - Proceedings
SP - 236
EP - 243
BT - Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2022
A2 - Ziefle, Martina
A2 - Mulvenna, Maurice
A2 - Maciaszek, Leszek
A2 - Maciaszek, Leszek
PB - Science and Technology Publications, Lda
T2 - 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2022
Y2 - 23 April 2022 through 25 April 2022
ER -