most citedA Design Space for Intelligent and Interactive Writing Assistants

132 citations · 149 across the 9 of their papers we have counts for

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cs.HC2025★ 1 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

PromptCanvas: Composable Prompting Workspaces Using Dynamic Widgets for Exploration and Iteration in Creative Writing

Rifat Mehreen Amin, Oliver Hans Kühle, Daniel Buschek +1

We introduce PromptCanvas, a concept that transforms prompting into a composable, widget-based experience on an infinite canvas. Users can generate, customize, and arrange interact…

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★ 6 cited

Composable Prompting Workspaces for Creative Writing: Exploration and Iteration Using Dynamic Widgets

Rifat Mehreen Amin, Oliver Hans Kühle, Daniel Buschek +1

Generative AI models offer many possibilities for text creation and transformation. Current graphical user interfaces (GUIs) for prompting them lack support for iterative explorati…

cs.HC2025★ 4 cited

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★ 3 cited

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★ 2 cited

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

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…

cs.HC2024★ 132 cited

A Design Space for Intelligent and Interactive Writing Assistants

Mina Lee, Katy Ilonka Gero, John Joon Young Chung +33

In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities. We seek to addr…