Description :

Two Ph.D. students, Yoon Kyung Lee and Inju Lee, presented their research at IEA 2024 held in Jeju. The research team they were part of was highly interdisciplinary, being composed of three majors: Psychology, Industrial Engineering, and Convergence Science and Technology. The project was overseen by professor Joonhwan Lee, professor Bongwon Suh.

Yoon Kyung presented a novel exhibition program that generates digital media art based on individuals’ real-time emotions. In the exhibition, participants engaged with the display by expressing various emotions with facial recognition artificial intelligence technology, triggering the creation of personalized artwork. Yoon Kyung and her team investigated whether incorporating the inner emotional states of each visitor, along with artificial intelligence technology, led to more personalized and profound experiences. The team compared their program to other tourism programs and observed significant differences in individuals’ perceived realism, creativity, willingness to revisit, and preferences. The results demonstrated that visitors highly favored our program, eliciting a stronger sense of creativity and realism. Furthermore, it matched traditional outdoor activities in terms of individual preference and willingness to revisit. This study highlights the potential of combining psychology and technology to create captivating, personalized tourism experiences, suggesting that stakeholders adopt emotion-responsive digital programs to enhance visitor engagement and satisfaction.

Inju presented her research, which resulted from an interdisciplinary collaboration between Department of Physical Education, College of Human Ecology (Child Development & Family studies), College of Nursing, and the College of Human Ecology (Department of Food & Nutrition) … Previous research show that middle-aged women experience various physical and psychological challenges, negatively impacting their life satisfaction. As such, monitoring and caring for their life satisfaction and subjective well-being is essential for ensuring… Digital phenotypes are a valuable tool for monitoring an individual’s health status. It is a snapshot of an individual’s health status, compounding data collected from personal digital devices. However, using digital phenotypes for detecting (declines) in middle-aged women’s life satisfaction remains underexplored. Digital phenotype, the representation of individuals’ health status based on data collected from digital devices, is a valuable tool for monitoring their health status. However, research on digital phenotypes for detecting middle-aged women’s life satisfaction remains underexplored.

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