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A Comprehensive Study of Emotional Responses in AI-Enhanced Interactive Installation Art

Author

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  • Xiaowei Chen

    (College of Creative Arts, Universiti Teknologi MARA, Shah Alam 40450, Malaysia
    Academic Affairs Office, Zhejiang Shuren University, Hangzhou 310000, China)

  • Zainuddin Ibrahim

    (College of Creative Arts, Universiti Teknologi MARA, Shah Alam 40450, Malaysia)

Abstract

This study presents a comprehensive literature review on the convergence of affective computing, interactive installation art, multi-dimensional sensory stimulation, and artificial intelligence (AI) in measuring emotional responses, demonstrating the potential of artificial intelligence in emotion recognition as a tool for sustainable development. It addresses the problem of understanding emotional response and measurement in the context of interactive installation art under artificial intelligence (AI), emphasizing sustainability as a key factor. The study aims to fill the existing research gaps by examining three key aspects: sensory stimulation, multi-dimensional interactions, and engagement, which have been identified as significant contributors to profound emotional responses in interactive installation art. The proposed approach involves conducting a process analysis of emotional responses to interactive installation art, aiming to develop a conceptual framework that explores the variables influencing emotional responses. This study formulates hypotheses that make specific predictions about the relationships between sensory stimulation, multi-dimensional interactions, engagement, and emotional responses. By employing the ASSURE model combined with experimental design, the research methodology ensures a systematic and comprehensive study implementation. The implications of this project lie in advancing the understanding of emotional experiences in interactive installation art under AI, providing insights into the underlying mechanisms that drive these experiences, and their influence on individual well-being from a sustainable perspective. The contributions of this research include bridging the identified research gaps, refining theoretical frameworks, and guiding the design of more impactful and emotionally resonant interactive artworks with sustainability in mind. This research seeks not only to fill the existing gaps in understanding emotional experiences in interactive installation art, but also to guide the development of immersive and emotionally engaging installations, ultimately advancing the broader field of human–computer interaction, promoting individual well-being, and contribute to sustainable development.

Suggested Citation

  • Xiaowei Chen & Zainuddin Ibrahim, 2023. "A Comprehensive Study of Emotional Responses in AI-Enhanced Interactive Installation Art," Sustainability, MDPI, vol. 15(22), pages 1-22, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:15830-:d:1277823
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    References listed on IDEAS

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    1. Garima Verma & Hemraj Verma, 2020. "Hybrid-Deep Learning Model for Emotion Recognition Using Facial Expressions," The Review of Socionetwork Strategies, Springer, vol. 14(2), pages 171-180, October.
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    Cited by:

    1. Pang, Hua & Ruan, Yang, 2024. "Disentangling composite influences of social connectivity and system interactivity on continuance intention in mobile short video applications: The pivotal moderation of user-perceived benefits," Journal of Retailing and Consumer Services, Elsevier, vol. 80(C).

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