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Articles

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

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By Maya Grace, Yoichi Ochiai, Takahito Murakami, Shuka Koseki
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2401.04138] Expanding Horizons in HCI Research Through LLM-Driven Qualitative Analysis

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By Maya Grace
| arxiv.org
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Lottery and Sprint: Generate a Board Game with Design Sprint Method on AutoGPT

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By Maya Grace
| arxiv.org
[Submitted on 1 Jul 2023 ( v1 ), last revised 22 Dec 2023 (this version, v2)] Title:Lottery and Sprint: Generate a Board Game with Design Sprint Method on AutoGPT Download a PDF of the paper titled Lottery and Sprint: Generate a Board Game with Design Sprint Method on AutoGPT, by Maya Grace Torii and 1 other authors Download PDF HTML (experimental) Abstract:In this paper, we present a novel approach using the Auto GPT system alongside Design Sprint methodology to facilitate board game...
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