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Designing Context-Aware Urban Citizen Science Systems for Sustained Citizen Engagement: A Pilot Study in Urban Heat Island Detection

Heyden, Niklas 1; Parsons, Jeffrey
1 Institut für Wirtschaftsinformatik (WIN), Karlsruher Institut für Technologie (KIT)

Abstract:

This short paper explores the design of context-aware urban citizen science systems to address the challenge of sustained participant engagement. Building on a pilot study conducted in Zurich involving citizens in urban heat island detection, we investigate engagement barriers and patterns. Grounded in Information Systems (IS) Continuance Theory and leveraging Just-In-Time Adaptive Interventions (JITAIs), we follow a design science research approach and propose initial design requirements and principles for enhancing citizen science systems. These principles include context-aware participation timing, real-time feedback, and adaptive task complexity, aimed at fostering satisfaction, perceived usefulness, and expectation confirmation. Our initial pilot study insights and theoretical analysis indicate that contextual factors may play an important role in moderating user engagement and system interactions. We conclude with insights on system design that align with theoretical models of IS continuance, offering guidance for practical applications and future research in developing context-aware citizen science platforms.


Verlagsausgabe §
DOI: 10.5445/IR/1000182936
Veröffentlicht am 07.07.2025
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik (WIN)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 18.05.2025
Sprache Englisch
Identifikator KITopen-ID: 1000182936
Erschienen in IS for Resilience and Sustainable Development Track at Association of Information System
Veranstaltung 33rd European Conference on Information Systems (ECIS 2025), Amman, Jordanien, 12.06.2025 – 18.06.2025
Schlagwörter Urban Citizen Science Systems, Digital Citizen Engagement, Just-In-Time Adaptive, Interventions, Context-Aware Computing, Design Science Research
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