🤖 AI Summary
Visual analytics systems often fail to achieve sustained adoption in public-sector settings due to socio-technical barriers—including organizational silos, misalignment between designers’ and stakeholders’ objectives, and resistance to technological integration—hindering transition from short-term prototypes to long-term operational use. Drawing on iterative municipal field deployments and interdisciplinary collaboration across human-computer interaction (HCI), public administration, and participatory design, this study employs design research to systematically identify critical bottlenecks to sustainable uptake. We propose three novel strategies: (1) integration mechanisms that deeply embed analytics into existing organizational workflows; (2) a participatory framework ensuring equitable empowerment of diverse stakeholders; and (3) a sustainability-oriented implementation model supporting continuous co-evolution. The work advances a new socio-technical co-design paradigm for academic research and delivers actionable governance pathways and an implementable toolkit for municipal practitioners.
📝 Abstract
Despite the recognized benefits of visual analytics systems in supporting data-driven decision-making, their deployment in real-world civic contexts often faces significant barriers. Beyond technical challenges such as resource constraints and development complexity, sociotechnical factors, including organizational hierarchies, misalignment between designers and stakeholders, and concerns around technology adoption hinder their sustained use. In this work, we reflect on our collective experiences of designing, developing, and deploying visual analytics systems in the civic domain and discuss challenges across design and adoption aspects. We emphasize the need for deeper integration strategies, equitable stakeholder engagement, and sustainable implementation frameworks to bridge the gap between research and practice.