@article {10.3844/jcssp.2026.2682.2691,
article_type = {journal},
title = {AI-Driven Visual Communication Strategies for Enhancing Engagement in Smart Hospitality Platforms},
author = {Dewantara, Yudhiet Fajar and Erlyana, Yana and Yi, Lim Jing},
volume = {22},
number = {9},
year = {2026},
month = {Sep},
pages = {2682-2691},
doi = {10.3844/jcssp.2026.2682.2691},
url = {https://thescipub.com/abstract/jcssp.2026.2682.2691},
abstract = {The rapid evolution of Smart Hospitality has reshaped how tourists interact with service providers. Visual communication plays a pivotal role in influencing engagement, yet most digital content remains generic, limiting brand resonance. This study investigates AI-driven visual communication strategies to enhance engagement by bridging computer science and design communication. A mixed-method approach was employed, starting with the analysis of 120 hospitality visuals using K-means clustering and sentiment analysis to identify aesthetic patterns. Two stimuli sets were developed: Set A (Generic) and Set B (AI-Personalized with 70% preference similarity). A survey experiment (n = 156) involving Generation Y and Z users was conducted. Quantitative analysis revealed that AI-personalized visuals significantly outperformed generic content, with engagement scores increasing from M = 3.42 to M = 4.15 and trust levels rising by 21% (p},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}