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20212025
most citedGANSlider: How Users Control Generative Models for Images using Multiple Sliders with and without Feedforward Information

39 citations · 72 across the 5 of their papers we have counts for

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cs.HC2025

CorpusStudio: Surfacing Emergent Patterns in a Corpus of Prior Work while Writing

Hai Dang, Chelse Swoopes, Daniel Buschek +1

Many communities, including the scientific community, develop implicit writing norms. Understanding them is crucial for effective communication with that community. Writers gradual…

cs.HC20232 cited

WorldSmith: Iterative and Expressive Prompting for World Building with a Generative AI

Hai Dang, Frederik Brudy, George Fitzmaurice +1

Crafting a rich and unique environment is crucial for fictional world-building, but can be difficult to achieve since illustrating a world from scratch requires time and significan…

cs.HC20226 cited

SummaryLens -- A Smartphone App for Exploring Interactive Use of Automated Text Summarization in Everyday Life

Karim Benharrak, Florian Lehmann, Hai Dang +1

We present SummaryLens, a concept and prototype for a mobile tool that leverages automated text summarization to enable users to quickly scan and summarize physical text documents.…

cs.HC202239 cited

GANSlider: How Users Control Generative Models for Images using Multiple Sliders with and without Feedforward Information

Hai Dang, Lukas Mecke, Daniel Buschek

We investigate how multiple sliders with and without feedforward visualizations influence users' control of generative models. In an online study (N=138), we collected a dataset of…

cs.HC202118 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.HC20217 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…