Aplicação remota do modelo humano de resolução de problemas por insight

Abstract

Problem-solving is a competence valued both in education and in the labor market, especially when this resolution is considered innovative. Thus, this study sought to replicate a model developed to explain the problem-solving process through insight with human participants. To this end, six participants were selected with a low level of previous experience in electronic games, who did not have significant experiences with the Portal 2 game and adequate structural conditions to participate in the experiment remotely. All participants went through the phases: Familiarization, Pre-Training Test, Behavior Training Not Directly Necessary for Problem Solving, Training of Behaviors Necessary for Problem Solving, and Post-training Test. As a result, three participants were able to solve the problem situation only in the Post-Training Test phase, one solved the problem in the Pre-Training Test phase and two were unable to produce the solution in any of their presentations. However, all participants were able to issue the necessary behaviors to solve the problem. For future experiments, it is encouraged that changes in the problem-solving situation occur that seek to increase the probability of resolution, once the participant emits the necessary behaviors.