Emotional Expression of AI-generated Artistic Design
A Case Analysis Approach
Bibliographic Data
| ID | 22155197 |
|---|---|
| Authors | Jie Gao (0000-0002-9523-4541, Macau University of Science and Technology), Jun Yin (0000-0002-2009-6068, Jiangnan University), Yin Jun (0000-0003-4799-4025) |
| Year | 2024 |
| Volume | 8 |
| Issue | 1 |
| Publication date | 2024-04-08 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Chitrolekha Journal on Art and Design (JOURNAL) |
| Journal identifiers | ISSN: 2456-978X • E-ISSN: 2456-978X |
| Publisher | Aesthetics Media Services (PUBLISHER) |
| DOI | 10.21659/cjad.81.v8n104 |
| OpenAlex | W4400592299 |
| Language | EN |
| Citations received | 2 |
| References cited | 3 |
This study investigates the capabilities and constraints of artificial intelligence (AI) in creating art for emotional conveyance and its influence on art’s evolution. Anchored in Riegl’s concept of “Kunstwollen”, a case analysis method is applied to assess Théâtre D’opéra Spatial, an AI-generated artwork, in terms of emotional engagement, interactive experience, and inventive design. The findings suggest AI art transcends conventional visual limits but struggles with complex emotions’ nuanced portrayal, especially in simulating profound emotional resonance. Nevertheless, a collaborative approach between humans and AI emerges as a promising avenue for AI in emotional artistry. This research underscores AI’s role in broadening artistic horizons and spotlights the intricate balance between technological progress and the emulation of emotional cognition. Future work should enhance AI algorithms for more accurate emotion detection and articulation, striving for equilibrium in human-AI interaction. Such advancements in AI art would not only foster creative productivity but also precisely mirror and evoke human emotions, offering empirical support and strategic insights for seamlessly merging technology and art
Aesthetics · Affective Computing · Art · Cognition · Cognitive psychology · Cognitive science · Emotional expression · Emulation · Human–computer interaction · Interactive art · Productivity · Aesthetic Perception and Analysis · Computer Science · Creativity in Education and Neuroscience · Psychology · Social Psychology · Virtual Reality Applications and Impacts · Artificial Intelligence
| Citations per year | 2 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |