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Evaluating and Personalizing User-Perceived Quality of Text-to-Speech Voices for Delivering Mindfulness Meditation with Different Physical Embodiments
Building on findings from Phase 1, in Phase 2, an in-person within-subject study (N=94), we used a novel framework we developed for personalizing TTS voices based on user preferences, and evaluated user-perceived quality compared to best-rated non-personalized voices from Phase 1.
Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education
We hope that this work will contribute toward accessible and engaging AI education in human-AI interaction for college and high school students.
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