no code implementations • 11 Feb 2025 • Tim Zindulka, Jannek Sekowski, Florian Lehmann, Daniel Buschek
Interacting with Large Language Models (LLMs) for text editing on mobile devices currently requires users to break out of their writing environment and switch to a conversational AI interface.
no code implementations • 10 Feb 2025 • Tim Zindulka, Sven Goller, Florian Lehmann, Daniel Buschek
We address this with a new UI concept called Content-Driven Local Response (CDLR), inspired by microtasking.
no code implementations • 19 Sep 2023 • Karim Benharrak, Tim Zindulka, Florian Lehmann, Hendrik Heuer, Daniel Buschek
This is challenging, as writers may struggle to empathize with readers, get feedback in time, or gain access to the target group.
no code implementations • 6 Mar 2023 • Fiona Draxler, Anna Werner, Florian Lehmann, Matthias Hoppe, Albrecht Schmidt, Daniel Buschek, Robin Welsch
Participants were more likely to attribute ownership to supposedly human ghostwriters than AI ghostwriters, resulting in a higher ownership-authorship discrepancy for human ghostwriters.
no code implementations • 6 Mar 2023 • Hai Dang, Sven Goller, Florian Lehmann, Daniel Buschek
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 saw a fox..."), and (2) non-diegetic prompts (external, e. g. "Write about the adventures of the fox.").
no code implementations • 3 Sep 2022 • Hai Dang, Lukas Mecke, Florian Lehmann, Sven Goller, Daniel Buschek
Deep generative models have the potential to fundamentally change the way we create high-fidelity digital content but are often hard to control.
no code implementations • 19 Aug 2022 • Hai Dang, Karim Benharrak, Florian Lehmann, Daniel Buschek
As a key finding, the summaries gave users an external perspective on their writing and helped them to revise the content and scope of their drafted paragraphs.
no code implementations • 1 Aug 2022 • Florian Lehmann, Niklas Markert, Hai Dang, Daniel Buschek
2) Writing with suggestions, the AI suggests phrases and user selects from a list.
no code implementations • 1 Apr 2021 • Daniel Buschek, Lukas Mecke, Florian Lehmann, Hai Dang
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.