Batuhan Sayis

Papers

Total Citations

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About

Batuhan Sayis is a pioneering researcher at the intersection of human-computer interaction, mental health technology, and social robotics. His work centers on leveraging conversational agents—from humanoid robots to voice assistants—to improve student mental wellbeing through technology-assisted self-disclosure activities. His most-cited paper, "Technology-assisted Journal Writing for Improving Student Mental Wellbeing: Humanoid Robot vs. Voice Assistant" (2024, 9 citations), investigates how the embodiment of these agents influences what students disclose, how they share their thoughts, and their adherence to journaling practices. This research offers critical insights into designing empathetic, non-judgmental digital companions that can support mental health in educational settings. By exploring the nuanced effects of agent embodiment on user behavior, Sayis contributes to the growing field of affective computing and socially assistive robotics. His work has immediate implications for universities seeking scalable, evidence-based interventions to address the student mental health crisis. Through rigorous empirical studies, Sayis demonstrates how thoughtful technology design can foster meaningful human connection and emotional well-being, positioning him as a key voice in the future of mental health technology.