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Kazjon Grace

As seen in: MDPI, Taylor & Francis Online
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Articles

“Coffee So Good, You’ll Want to Slap Your Barista”: Evaluating AI Co-Creation Through Dialogic Actions

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By Oliver Bown, Kazjon Grace, Rodolfo Ocampo Blanco
| Taylor & Francis Online
ABSTRACT Recent years have seen the rise of large language models (LLMs) and multimodal generators (here referred to as “request-based” generative systems) that take natural language inputs. These suggest new dialogic forms of interaction for users of co-creative systems, in which the human and computer converse about creative goals, outputs, and concepts.
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[2403.13826] Measuring Diversity in Co-creative Image Generation

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By Kazjon Grace
| 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.
Open in Who Shared View Duplicates (603) Issue with article?

Virtual Urban Field Studies: Evaluating Urban Interaction Design Using Context-Based Interface Prototypes

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By Samuel D. Gillespie, Robert Dongas, Kazjon Grace, Marius Hoggenmueller
| MDPI
5. Discussion Here we discuss the two key contributions of this study: the use of presence while developing VUFS, and the use of VUFS more broadly as a way to evaluate urban interaction designs. 5.1. Presence as a Proxy for Verisimilitude in VUFS The first objective of this research was to explore the efficacy and characteristics of VUFS (particularly with a sound design focus) as a way to approximate field studies.
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