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Found 4 papers, 1 papers with code
Using Causal Trees to Estimate Personalized Task Difficulty in Post-Stroke Individuals
Adaptive training programs are crucial for recovery post stroke.
Singing the Body Electric: The Impact of Robot Embodiment on User Expectations
As a result, understanding conceptualizations formed from physical design is necessary to understand how users intend to interact with the robot.
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.
Personality Traits in Large Language Models
The advent of large language models (LLMs) has revolutionized natural language processing, enabling the generation of coherent and contextually relevant human-like text.
