Experience Optimization Strategies for AI Interactive Art from the Perspective of New Media Research

DOI

10.2991/978-2-38476-487-7_11How to use a DOI?

Keywords

AI Interactive Art; User Experience; New Media Research; Interactivity; Immersion; Emotional Connection

Abstract

In the midst of rapid digital transformation, AI Interactive Art has appeared as an innovative art kind that combines artificial intelligence, new media technologies, and creative ability. The research wishes to look into fruitful ways of enhancing user experience when doing AI interactive art, approaching from the angle of new media investigation, and filling the gap formed by technological upgrade and sentimental interest. Through analysis of the current developmental status of AI interactive art, this paper identifies that problems related to user experience include insufficient interactivity, lack of true immersion, and lack of emotionality. Using mixed method study that includes qualitative analysis and real-life data in order to examine the influence of the three new media traits: interactive, immediate, digital. Three main optimization strategies are given: improving interactivity by adaptive design, boosting immersion via multisensory new media tech, and strengthening emotional connection with personalized storytelling. The study uses 4 new datasets for validation purposes, which proves that systematic experience optimization can greatly enhance user satisfaction and emotional connection. Based on user-centered perspective, on top of helping academic discussions to be about new media arts and providing guidelines for artists and designers in operations, this stresses that experience has to be improved in promoting AI’s interactive arts so as to grow and develop it steadily.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yijia Yu
PY  - 2025
DA  - 2025/11/10
TI  - Experience Optimization Strategies for AI Interactive Art from the Perspective of New Media Research
BT  - Proceedings of the 2025 International Conference on Digital Technology and Educational Psychology (DTEP 2025)
PB  - Atlantis Press
SP  - 134
EP  - 144
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-487-7_11
DO  - 10.2991/978-2-38476-487-7_11
ID  - Yu2025
ER  -