96 citations · 367 across the 10 of their papers we have counts for
10 papers
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…
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…
Choice Over Control: How Users Write with Large Language Models using Diegetic and Non-Diegetic Prompting
Hai Dang, Sven Goller, Florian Lehmann +1
We propose a conceptual perspective on prompts for Large Language Models (LLMs) that distinguishes between (1) diegetic prompts (part of the narrative, e.g. "Once upon a time, I sa…
How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models
Hai Dang, Lukas Mecke, Florian Lehmann +2
Deep generative models have the potential to fundamentally change the way we create high-fidelity digital content but are often hard to control. Prompting a generative model is a p…
Beyond Text Generation: Supporting Writers with Continuous Automatic Text Summaries
Hai Dang, Karim Benharrak, Florian Lehmann +1
We propose a text editor to help users plan, structure and reflect on their writing process. It provides continuously updated paragraph-wise summaries as margin annotations, using…
Suggestion Lists vs. Continuous Generation: Interaction Design for Writing with Generative Models on Mobile Devices Affect Text Length, Wording and Perceived Authorship
Florian Lehmann, Niklas Markert, Hai Dang +1
Neural language models have the potential to support human writing. However, questions remain on their integration and influence on writing and output. To address this, we designed…
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.…
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…
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…
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…