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cs.HC20261 cited

Collaborative Document Editing with Multiple Users and AI Agents

Florian Lehmann, Krystsina Shauchenka, Daniel Buschek

Current AI writing support tools are largely designed for individuals, complicating collaboration when co-writers must leave the shared workspace to use AI and then communicate and…

cs.HC2025

StudyAlign: A Software System for Conducting Web-Based User Studies with Functional Interactive Prototypes

Florian Lehmann, Daniel Buschek

Interactive systems are commonly prototyped as web applications. This approach enables studies with functional prototypes on a large scale. However, setting up these studies can be…

cs.HC2025

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…

cs.HC2025

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…

cs.HC2024

Functional Flexibility in Generative AI Interfaces: Text Editing with LLMs through Conversations, Toolbars, and Prompts

Florian Lehmann, Daniel Buschek

Prompting-based user interfaces (UIs) shift the task of defining and accessing relevant functions from developers to users. However, how UIs shape this flexibility has not yet been…

cs.HC2024

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…