Dataset on walking-based, participatory, and performative artworks: Metadata and analytical categories

This dataset compiles a wide cross-section of contemporary walking-based, participatory, and performative artworks, documenting their aesthetic, political, experiential, and technological characteristics. Each entry is described through a rich set of qualitative fields—including thematic focus, cultural and political context, audience engagement, accessibility, multisensory design, gestural interaction, dramaturgy, affective shifts, digital augmentation, and documentation practices. Additional metadata such as author, year, location, device, temporal structure, and visual elements provide a detailed framework for comparative analysis. The dataset is designed to support scholarly research in performance studies, digital arts, embodied interaction, and walking-based practices by enabling structured comparisons across artistic intentions, sociopolitical interventions, and audience experiences. It is particularly suited for analytical models involving categorisation, pattern recognition, or cross-modal study of participatory art. By integrating references such as Drew Hemment (2006) and Leolke & Wood (2019), the dataset situates each artwork within broader theoretical discourses on fictioning, design, world-building, and infrastructural or logistical aesthetics.