Construction of a Soundscape-Based Media Art Exhibition to Improve User Appreciation Experience by Using Deep Neural Networks

The objective of this study was to improve user experience when appreciating visual artworks with soundscape music chosen by a deep neural network based on weakly supervised learning. We also propose multi-faceted approach measuring ambiguous concepts, such as the subjective fitness, implicit senses, immersion, and availability. showed improvements in appreciation experience, metaphorical psychological transferability, time distortion, cognitive absorption, in-depth experiments involving 70 participants. Our test results were similar those “Bunker de Lumières: van Gogh”, which is an immersive media artwork directed Gianfranco lannuzzi; fitness scores our system Gogh” 3.68/5 3.81/5, respectively. Moreover, concordance senses between classical measured be 0.88%, distortion absorption improved during immersion. Finally, proposed method obtained satisfaction score 3.53/5 evaluation its usability. can help spread soundscape-based art supporting traditional design. Furthermore, we hope that will people impairments appreciate through application multi-modal guide platform.