Artificial Intelligence for Eco-Didactic Installations through Interactive Museological Experience to Encourage Sustainable Action

Abstract

Interactivity has demonstrated significant efficiency in enhancing the informal learning experience. Environmental museums offer a diverse range of interactive experiences, encompassing both digital and analog mediums, to educate visitors about the environment and sustainability. Studies show that Artificial Intelligence (AI) technologies have enriched digital interactivity by incorporating features such as real-time data processing, object recognition, and personalized recommendations. The implementation of these technologies in public spaces, such as museums, has started and rapidly developing. Given these, the study aims to establish potential alliances between museological learning, interactivity, and AI to amplify the impact of environmental learning experiences in the public space. The integration of AI and interactivity has the potential to foster effective learning experiences, ultimately leading to behavioral changes toward sustainable practices. This study delves into the impact of the interactive agents deployed at the Biosphere Environment Museum in Montreal. This is achieved by examining visitors’ experiences with interactive installations and questioning how these experiences reflect into the daily life. The study adopts a design ethnography research method, employing primary ethnographic and qualitative approaches to collect data. As a result, interactive installations are preferable comparing to non-interactive installations. The study concludes by reflecting on potential future outcomes.

Keywords: AI, eco-didactic, sustainability, museological experience, interactivity, interactive learning

DOI: 10.7176/RHSS/14-5-06

Publication date: June 30^th 2024