  My research centers on the development of context-adaptive AI systems to
improve end-user adoption through the integration of technical methods. I
deploy these AI systems across various interaction modalities, including user
interfaces and embodied agents like robots, to expand their practical
applicability. My research unfolds in three key stages: design, development,
and deployment. In the design phase, user-centered approaches were used to
understand user experiences with AI systems and create design tools for user
participation in crafting AI explanations. In the ongoing development stage, a
safety-guaranteed AI system for a robot agent was created to automatically
provide adaptive solutions and explanations for unforeseen scenarios. The next
steps will involve the implementation and evaluation of context-adaptive AI
systems in various interaction forms. I seek to prioritize human needs in
technology development, creating AI systems that tangibly benefit end-users in
real-world applications and enhance interaction experiences.
