RT info:eu-repo/semantics/article
T1 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
A1 Sáiz Manzanares, María Consuelo
A1 Alonso Martínez, Laura
A1 Marticorena Sánchez, Raúl
K1 Behavioral structure
K1 Similarity
K1 Systematic review
K1 THEME
K1 T-Pattern
K1 T-String
K1 T-System
K1 Informática
K1 Computer science
K1 Psicología
K1 Psychology
AB In recent years, research interest in human and non-human behavioral analysis hasincreased significantly. One key element in the resulting studies is the use of softwarethat facilitates comparative analysis of behavioral patterns, such as using T-Pattern andT-String analysis -TPA- with THEME. Furthermore, all these studies use mixed methodsresearch. Results from these studies have indicated a certain amount of similaritybetween the biological, temporal, and spatial patterns of human social interactions andthe interactions between the contents of their constituent cells. TPA has become animportant, widely-used technique in applied behavioral science research. The objectivesof the current review were: (1) To identify the results of research over the last 4 yearsrelated to the concepts of T-Pattern, TPA, and THEME, since it is in this period in whichmore publications on these topics have been detected (2) To examine the key conceptsand areas in the selected articles with respect to those concepts, applying data and textmining techniques. The results indicate that, over the last 4 years, 20% of the studieswere laboratory focused with non-humans, 18% were in sports environments, 9% werein psychological therapy environments and 9% were in natural human contexts. Therewere also indications that TPA is beginning to be used in workplace environments, whichis a very promising setting for future research in this area.
PB Frontiers Media
YR 2022
FD 2022-07
LK http://hdl.handle.net/10259/7331
UL http://hdl.handle.net/10259/7331
LA eng
NO This work was funded through the Asistentes de voz e inteligencia artificial en Moodle: un camino hacia una universidad inteligente-SmartLearnUni- Project selected in the 2020 round of the Spanish Ministerio de Ciencia e Innovación (Proyectos de I+D+i - RTI Tipo B. Reference: PID2020-117111RB-I00).
DS Repositorio Institucional de la Universidad de Burgos
RD 02-may-2024