This study explores the impact of the combination of environmental art design (EAD) and computing technology (CT) on social behavior. Firstly, four basic principles were established, and examples of combining EAD with computational technology were analyzed. Then, behavioral data videos were collected from five different age groups of experimental participants, and a hierarchical clustering algorithm was used to mine these data to obtain behavioral analysis. The experiment shows that the hierarchical clustering mining algorithm used in this article can mine the different behaviors exhibited by different groups of people in different environments where art and CT are combined. The analysis offers recommendations for EAD to attract targeted audiences. The algorithm’s accuracy dropped by only 0.0331 and its running time increased by just 200 ms when irrelevant video data insertion rose from 10% to 90%, demonstrating its robustness. Overall, this study highlights how combining EAD with CT affects social behavior, offering valuable insights and guidance for designing venues that integrate environmental art and CT.
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