activity
20242026
most citedBridging Generations using AI-Supported Co-Creative Activities

16 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2026

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)…

cs.HC2025★ 3 cited

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…

cs.HC2025★ 16 cited

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…

cs.RO2024★ 1 cited

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…

cs.HC2024

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…