241 citations · 1.3k across the 29 of their papers we have counts for
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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…
The Human in the Infinite Loop: A Case Study on Revealing and Explaining Human-AI Interaction Loop Failures
Changkun Ou, Daniel Buschek, Sven Mayer +1
Interactive AI systems increasingly employ a human-in-the-loop strategy. This creates new challenges for the HCI community when designing such systems. We reveal and investigate so…
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…