Traditional well-being assessment relies on infrequent self-report questionnaires (e.g., PHQ-9), which provide only sparse, retrospective snapshots of well-being and may miss everyday fluctuations. This creates an opportunity for low-burden, lightweight assessments embedded in everyday interactions, such as open-ended...
T. Bùi, Min-Jun Choi, Shifa Somji et al.· Proceedings of the 28th Inte...· 0 citations
An LLM-powered, task-based role-playing game in which a GPT-4o-based Game Master guides learners through an immersive, three-phase spoken narrative highlighting the potential of narrative-driven LLM interactions in vocabulary acquisition is designed and evaluated.
AmirMohammad Tahmasbi, Milad Esrafilian, J. Wright et al.· 0 citations
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