Emotional Interaction in Urban Public Art: A Symbiotic Relationship Between Human-Computer Interaction and Emotional Publics
摘要
Digital media technologies have developed with lightning speed, reshaping urban public art and transforming audiences from passive spectators into actively involved participants. Human-computer interaction (HCI) design is central to the creation of emotional publics—networked publics that respond to media content with some degree of agreement, dispenses, or indifference. This research, through case studies, expert interviews, and audience surveys, investigates how HCI-based public art creates emotional involvement, participatory creativity, and social bonding in urban areas. Rising technologies such as motion sensors, augmented reality (AR), virtual reality (VR), and artificial intelligence (AI) are facilitating richer emotional interaction with public art, transforming static exhibitions into dynamic and interactive ones. Interactive art installations promote real-time interaction, allowing the audience to interact with and control public art through a rich array of multisensory feedback and emotional affinity. The research informs theoretical debate by way of the intersection of HCI and affective publics, with findings on how emotional dynamics shape urban installation design and reception. Pragmatic design approaches favor accessibility, inclusivity, and cultural relevance, allowing installations to resonate emotionally and cognitively with varied audiences. Intuitive design and incorporating culturally specific narratives relevant to the territory are cited as success factors for public engagement. This is a key contribution to the HCI and public art literature, offering a model applicable to inform the design of the city in encouraging collective participation and connection. This research demonstrates how future urban areas could emerge as collaborative spaces through ongoing co-creation efforts that enable public artwork to evolve into active conversations between artists and community members. A combination of machine learning and predictive analytics allows future installations to react in real time with audience behavior and preferences thus creating personalized and inclusive experiences. The adaptable nature of public art serves to both mimic community cultural values and take part in shaping ongoing public space transformations thus creating environmentally sustainable sociocultural systems.