The paper discusses the design, development, and deployment of context-adaptive AI systems to improve end-user adoption. It emphasizes the importance of user-centered approaches in understanding user experiences with AI systems and creating design tools for user participation. The research also involves the development of a safety-guaranteed AI system for a robotic agent to provide adaptive solutions and explanations for unforeseen scenarios. The ultimate aim is to prioritize human needs in technology development, creating AI systems that benefit end-users in real-world applications and enhance interaction experiences.
Publication date: 24 Jan 2024
Project Page: https://doi.org/10.1145/3613905.3638195
Paper: https://arxiv.org/pdf/2401.13643
