5 papers
Robo-Blocks: Generative Scaffolding in End-User Design and Programming of Social Robots
Arissa J. Sato, Callie Y. Kim, Nathan Thomas White +4
Programming social robots is challenging for novice robot programmers due to required expertise in planning, interaction design, and programming. While large language models (LLMs)…
Examining Input Modalities and Visual Feedback Designs in Mobile Expressive Writing
Shunpei Norihama, Shixian Geng, Kakeru Miyazaki +4
Expressive writing is an established approach for stress management. Recently, information technologies, such as smartphones, have also been explored for expressive writing. Althou…
NarraGuide: an LLM-based Narrative Mobile Robot for Remote Place Exploration
Yaxin Hu, Arissa J. Sato, Jingxin Du +4
Robotic telepresence enables users to navigate and experience remote environments. However, effective navigation and situational awareness depend on users' prior knowledge of the e…
Bridging Generations using AI-Supported Co-Creative Activities
Callie Y. Kim, Arissa J. Sato, Nathan Thomas White +4
Intergenerational co-creation using technology between grandparents and grandchildren can be challenging due to differences in technological familiarity. AI has emerged as a promis…
Understanding Generative AI in Robot Logic Parametrization
Yuna Hwang, Arissa J. Sato, Pragathi Praveena +2
Leveraging generative AI (for example, Large Language Models) for language understanding within robotics opens up possibilities for LLM-driven robot end-user development (EUD). Des…