Logo do repositório
 
A carregar...
Miniatura
Publicação

Detecting Creative States From Emotional Cues

Utilize este identificador para referenciar este registo.
Nome:Descrição:Tamanho:Formato: 
Kalateh_S._et_al._2025_.pdf1.71 MBAdobe PDF Ver/Abrir

Orientador(es)

Resumo(s)

Creativity and emotion are fundamental aspects of human expression, interaction, and innovation, shaping various facets of modern society. This paper explores the intersection of technology, human creativity and emotional expression by proposing a novel approach to detecting creative states through the analysis of emotional cues derived from speech. To validate the findings, a linguistic prompt creativity test was conducted, incorporating both human evaluations and AI-driven assistance as the co-collaborative approach, using the Torrance Test of Creative Thinking (TTCT) as the evaluation criteria. The study analysed 50 creative speech samples from 25 participants, each exposed to happy and sad video stimuli to evoke distinct emotional responses. The results reveal a correlation between emotional states and creativity. A paired t-test revealed a difference in creativity scores between the happy and sad conditions (t(24) = 2.46, p = 0.021), with higher creativity observed in the happy condition. In 80% of the participants, higher creativity levels were observed when they experienced positive emotions and happiness, highlighting the significant influence of emotional context on creative expression and creative states and also aligning with the psychological research on exploring the effects of emotions on creativity.

Descrição

Funding Information: This work involved human subjects or animals in its research. Approval of all ethical and experimental procedures and protocols wasgranted by the Ethics Commission of NOVA School of Science and Technology (NOVA FCT) under Application No.CE_FCT_010-2025_projeto, and performed in line with the institutional requirements. Icons used in certain figures were provided by Flaticon .3 Theauthors would like to acknowledge the use of Grammarly forits assistance in improving the grammar, style, and overallclarity of the text in this manuscript. They would like tothank Dr. Marzieh Abedini for sharing their pearls of wisdomduring the development of this research especially from thepsychological point of view. Publisher Copyright: © 2013 IEEE.

Palavras-chave

affective computing Computational creativity emotion detection Emroberta linguistic computation LLM NLTK sentiment analysis General Computer Science General Materials Science General Engineering

Contexto Educativo

Citação

Projetos de investigação

Unidades organizacionais

Fascículo

Editora

Licença CC

Métricas Alternativas