🤖 AI Summary
This study addresses critical challenges in deploying AI conversational agents to support child and adolescent well-being across culturally diverse contexts—particularly inadequate cultural adaptation in technical design and insufficient youth participation. To bridge these gaps, the project conducted cross-cultural participatory design across four countries, actively engaging children and adolescents as co-researchers and co-designers of conversational agents. Integrating human-computer interaction principles, conversational system development, and participatory methodologies, the study identified key barriers: linguistic diversity, divergent value systems, and unequal digital literacy. It proposes a practice framework comprising “tiered participation,” “contextual calibration,” and “iterative validation.” The outcomes enhance the cultural inclusivity and contextual adaptability of AI systems and, for the first time, establish a youth-well-being–oriented design paradigm for conversational agents tailored to Global South and multicultural settings.
📝 Abstract
This paper outlines the challenges and opportunities of research on conversational agents with children and young people across four countries, exploring the ways AI technologies can support children's well-being across social and cultural contexts.