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20212025
most citedHow to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

96 citations · 367 across the 10 of their papers we have counts for

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Showing 2021 · cs.HCShow all

2 papers · 2 filters

cs.HC2021★ 18 cited

Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems

Daniel Buschek, Lukas Mecke, Florian Lehmann +1

This position paper examines potential pitfalls on the way towards achieving human-AI co-creation with generative models in a way that is beneficial to the users' interests. In par…

cs.HC2021★ 7 cited

GestureMap: Supporting Visual Analytics and Quantitative Analysis of Motion Elicitation Data by Learning 2D Embeddings

Hai Dang, Daniel Buschek

This paper presents GestureMap, a visual analytics tool for gesture elicitation which directly visualises the space of gestures. Concretely, a Variational Autoencoder embeds gestur…