58 citations · 69 across the 5 of their papers we have counts for
5 papers · 1 filter
The AI Memory Gap: Users Misremember What They Created With AI or Without
Tim Zindulka, Sven Goller, Daniela Fernandes +2
As large language models (LLMs) become embedded in interactive text generation, disclosure of AI as a source depends on people remembering which ideas or texts came from themselves…
Exploring Mobile Touch Interaction with Large Language Models
Tim Zindulka, Jannek Sekowski, Florian Lehmann +1
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 A…
Content-Driven Local Response: Supporting Sentence-Level and Message-Level Mobile Email Replies With and Without AI
Tim Zindulka, Sven Goller, Florian Lehmann +1
Mobile emailing demands efficiency in diverse situations, which motivates the use of AI. However, generated text does not always reflect how people want to respond. This challenges…
Deceptive Patterns of Intelligent and Interactive Writing Assistants
Karim Benharrak, Tim Zindulka, Daniel Buschek
Large Language Models have become an integral part of new intelligent and interactive writing assistants. Many are offered commercially with a chatbot-like UI, such as ChatGPT, and…
Writer-Defined AI Personas for On-Demand Feedback Generation
Karim Benharrak, Tim Zindulka, Florian Lehmann +2
Compelling writing is tailored to its audience. This is challenging, as writers may struggle to empathize with readers, get feedback in time, or gain access to the target group. We…