Balee Carpet Karuta: Interactive Generation of Data Analytical Requirements and Hypothetical Questions

Abstract

The effective selection of data for artificial intelligence (AI) is crucial for enhancing well-being, yet translating requirements for data utilization into concrete implementations remains challenging. This paper presents Balee Carpet Karuta (BCK), a novel workshop framework that transforms the traditional Japanese card game "Karuta" into a logic-generation game enhanced by network-based card visualization. By uniquely integrating competitive game with co-creative data utilization workshops, BCK bridges the gap between abstract requirements and concrete, actionable data solutions. Through a case study with the Data Society Alliance, BCK demonstrated how participant interactions led to the evolution of both requirements and solutions, with initial requirements becoming more descriptive while solutions emerged as novel analytical questions worthy of investigation.