2026-06-18T17:06:10Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/73312023-03-21T08:54:00Zcom_10259.4_2543com_10259_5086com_10259_2604com_10259_5841com_10259_4219col_10259.4_2544col_10259_5842col_10259_4220
A Systematic Review of the Use of T-Pattern and T-String Analysis (TPA) With Theme: An Analysis Using Mixed Methods and Data Mining Techniques
Sáiz Manzanares, María Consuelo
Alonso Martínez, Laura
Marticorena Sánchez, Raúl
Behavioral structure
Similarity
Systematic review
THEME
T-Pattern
T-String
T-System
In recent years, research interest in human and non-human behavioral analysis has
increased significantly. One key element in the resulting studies is the use of software
that facilitates comparative analysis of behavioral patterns, such as using T-Pattern and
T-String analysis -TPA- with THEME. Furthermore, all these studies use mixed methods
research. Results from these studies have indicated a certain amount of similarity
between the biological, temporal, and spatial patterns of human social interactions and
the interactions between the contents of their constituent cells. TPA has become an
important, widely-used technique in applied behavioral science research. The objectives
of the current review were: (1) To identify the results of research over the last 4 years
related to the concepts of T-Pattern, TPA, and THEME, since it is in this period in which
more publications on these topics have been detected (2) To examine the key concepts
and areas in the selected articles with respect to those concepts, applying data and text
mining techniques. The results indicate that, over the last 4 years, 20% of the studies
were laboratory focused with non-humans, 18% were in sports environments, 9% were
in psychological therapy environments and 9% were in natural human contexts. There
were also indications that TPA is beginning to be used in workplace environments, which
is a very promising setting for future research in this area.
2023-01-26
2023-01-26
2022-07
info:eu-repo/semantics/article
http://hdl.handle.net/10259/7331
10.3389/fpsyg.2022.943907
1664-1078
eng
Frontiers in Psychology. 2022, V. 13, 943907
https://doi.org/10.3389/fpsyg.2022.943907
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-117111RB-I00/ES/ASISTENTES DE VOZ E INTELIGENCIA ARTIFICIAL EN MOODLE: UN CAMINO HACIA UNA UNIVERSIDAD INTELIGENTE/
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
Atribución 4.0 Internacional
Frontiers Media