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Autor principal: Lee, Christine P
Formato: Preprint
Publicado: 2024
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Acceso en línea:https://arxiv.org/abs/2401.13643
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author Lee, Christine P
author_facet Lee, Christine P
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2401_13643
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Design, Development, and Deployment of Context-Adaptive AI Systems for Enhanced End-User Adoption
Lee, Christine P
Human-Computer Interaction
Robotics
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.
title Design, Development, and Deployment of Context-Adaptive AI Systems for Enhanced End-User Adoption
topic Human-Computer Interaction
Robotics
url https://arxiv.org/abs/2401.13643