165 citations · 580 across the 15 of their papers we have counts for
5 papers · 1 filter
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.…
Examining Autocompletion as a Basic Concept for Interaction with Generative AI
Florian Lehmann, Daniel Buschek
Autocompletion is an approach that extends and continues partial user input. We propose to interpret autocompletion as a basic interaction concept in human-AI interaction. We first…