activity
20222026
most citedLottery and Sprint: Generate a Board Game with Design Sprint Method on AutoGPT

8 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2026

Lottery and Sprint Arcade: Enabling Player-Driven Game Editing with Generative AI

Maya Grace Torii, Takahito Murakami, Yoichi Ochiai

Large language models (LLMs) are shifting game generation from offline automation toward play-driven modification through natural language interaction. In this work, we present a p…

cs.AI2025

Suzume-chan: Your Personal Navigator as an Embodied Information Hub

Maya Grace Torii, Takahito Murakami, Shuka Koseki +1

Access to expert knowledge often requires real-time human communication. Digital tools improve access to information but rarely create the sense of connection needed for deep under…

cs.HC2024★ 2 cited

Expanding Horizons in HCI Research Through LLM-Driven Qualitative Analysis

Maya Grace Torii, Takahito Murakami, Yoichi Ochiai

How would research be like if we still needed to "send" papers typed with a typewriter? Our life and research environment have continually evolved, often accompanied by controversi…

cs.HC2023★ 8 cited

Lottery and Sprint: Generate a Board Game with Design Sprint Method on AutoGPT

Maya Grace Torii, Takahito Murakami, Yoichi Ochiai

In this paper, we present a novel approach using the Auto GPT system alongside Design Sprint methodology to facilitate board game creation for inexperienced users. We introduce the…

cs.HC2022

Kuchibashi: 3D-Printed Tweezers Bioinspired by the New Caledonian Crow's Beak

Takahito Murakami, Maya Grace Torii, Xanat Vargas Meza +1

In this study we implemented Kuchibashi, the New Caledonian Crow beak-like tweezers, and conducted a user study to evaluate the prototype's usability. We proved that Kuchibashi is…