Emotional recognition for simulated clinical environment using unpleasant odors: quasi-experimental study

Abstract

Objective: to compare the effect of exposure to unpleasant odors in a simulated clinical environment on the emotions of undergraduate nursing students. Method: quasi-experimental study. A total of 24 nursing students participated the study, divided into two groups, 12 in the intervention group with exposure to unpleasant odors, and 12 in the control group without exposure to unpleasant odors. To simulate the unpleasant vomiting odor in intervention group, fermented foods were used: boiled oats, curdled milk, spoiled Parmesan cheese, raw egg, pea soup, raisins and vinegar. Participants were filmed and the facial expression analysis was performed at six critical points: student approach; report of the complaint; clinical evaluation; and patient occurrence, intervention and reevaluation based on what was proposed by the Circumplex model of emotions recognition. Results: a total of 83,215 emotions related to the six critical points were verified. At the critical point of the proposed scenario with exposure to unpleasant odors, the intervention group presented the basic emotion of sadness and the Control Group, anger. Conclusion: it is inferred that the inclusion of unpleasant odors in the simulated scenarios can broaden the emotional development of health students.

Artificial intelligence in the analysis of emotions of nursing students undergoing clinical simulation

“…Using AI, the Circumplex Model and emerging theories such as Cognitive Load Theory and Connectivism Theory, professors have a knowledge base that allows them to identify crucial points in students' emotional learning process during simulation, in addition to enhancing these activities, in order to enrich and positively influence nurses' training (7,23,26,(28)(29)(30)(31)(32) .…”

“…The use of AI has been used by researchers as a way to better understand the relationship between satisfaction, self-confidence and emotions that permeate nursing students as they experience a simulated environment (9,19,23) . It is believed that this method allows a closer study data analysis, which were collected on video with the use of camcorders, allowing to identify both faces and tone of voice and speech content.…”

Inteligência artificial na análise das emoções dos estudantes de enfermagem submetidos à simulação clínica

“…Utilizando a IA, o Modelo Circumplexo e teorias emergentes, como a Teoria da Carga Cognitiva e a Teoria do Conectivismo, o professor tem uma base de conhecimento que lhe permite captar pontos cruciais no processo de aprendizagem emocional dos estudantes durante a simulação, além de potencializar essas atividades, de forma a enriquecer e influenciar positivamente na formação dos enfermeiros (7,23,26,(28)(29)(30)(31)(32) .…”

“…O uso da IA tem sido empregado por pesquisadores como uma forma de melhor compreender a relação entre a satisfação, a autoconfiança e as emoções que permeiam os estudantes de enfermagem enquanto vivenciam as experiências do ambiente simulado (9,19,23) . Acredita-se que este método possibilita uma análise mais atenta dos dados do estudo, os quais foram coletados em vídeo com o uso de filmadoras, permitindo, assim, a captura tanto das faces quanto do tom de voz e o conteúdo das falas.…”

Educação e tecnologias digitais em tempos de pandemia: uma experiência, muitos desafios

“…(18) Por outro lado, emoções negativas como a raiva também são importantes no processo de ensino-aprendizagem, de modo que estratégias capazes de provocar emoções podem ser motivadoras da aprendizagem. (20) Foram oferecidos quizzes aos estudantes, um deles contendo questões de concursos públicos para enfermeiros e outro implementado de multimeios, como áudios e vídeos, que permitiam respostas no próprio smartphone. Essas respostas e o desempenho da turma eram acompanhados em tempo real, na tela, pelo professor e estudantes.…”