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Found 22 papers, 1 papers with code
Composable Prompting Workspaces for Creative Writing: Exploration and Iteration Using Dynamic Widgets
Generative AI models offer many possibilities for text creation and transformation.
CorpusStudio: Surfacing Emergent Patterns in a Corpus of Prior Work while Writing
Many communities, including the scientific community, develop implicit writing norms.
Exploring Mobile Touch Interaction with Large Language Models
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.
Content-Driven Local Response: Supporting Sentence-Level and Message-Level Mobile Email Replies With and Without AI
We address this with a new UI concept called Content-Driven Local Response (CDLR), inspired by microtasking.
Assisted Data Annotation for Business Process Information Extraction from Textual Documents
Machine-learning based generation of process models from natural language text process descriptions provides a solution for the time-intensive and expensive process discovery phase.
Exploring the Lands Between: A Method for Finding Differences between AI-Decisions and Human Ratings through Generated Samples
Many important decisions in our everyday lives, such as authentication via biometric models, are made by Artificial Intelligence (AI) systems.
Collage is the New Writing: Exploring the Fragmentation of Text and User Interfaces in AI Tools
This essay proposes and explores the concept of Collage for the design of AI writing tools, transferred from avant-garde literature with four facets: 1) fragmenting text in writing interfaces, 2) juxtaposing voices (content vs command), 3) integrating material from multiple sources (e. g. text suggestions), and 4) shifting from manual writing to editorial and compositional decision-making, such as selecting and arranging snippets.
Deceptive Patterns of Intelligent and Interactive Writing Assistants
Large Language Models have become an integral part of new intelligent and interactive writing assistants.
A Design Space for Intelligent and Interactive Writing Assistants
In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities.
Writer-Defined AI Personas for On-Demand Feedback Generation
This is challenging, as writers may struggle to empathize with readers, get feedback in time, or gain access to the target group.
Choice Over Control: How Users Write with Large Language Models using Diegetic and Non-Diegetic Prompting
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.").
The AI Ghostwriter Effect: When Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authors
Participants were more likely to attribute ownership to supposedly human ghostwriters than AI ghostwriters, resulting in a higher ownership-authorship discrepancy for human ghostwriters.
Co-Writing with Opinionated Language Models Affects Users' Views
Using the opinionated language model affected the opinions expressed in participants' writing and shifted their opinions in the subsequent attitude survey.
How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models
Deep generative models have the potential to fundamentally change the way we create high-fidelity digital content but are often hard to control.
Beyond Text Generation: Supporting Writers with Continuous Automatic Text Summaries
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.
Suggestion Lists vs. Continuous Generation: Interaction Design for Writing with Generative Models on Mobile Devices Affect Text Length, Wording and Perceived Authorship
2) Writing with suggestions, the AI suggests phrases and user selects from a list.
GANSlider: How Users Control Generative Models for Images using Multiple Sliders with and without Feedforward Information
We found that more control dimensions (sliders) significantly increase task difficulty and user actions.
CharacterChat: Supporting the Creation of Fictional Characters through Conversation and Progressive Manifestation with a Chatbot
We iteratively developed CharacterChat in a user-centred approach, starting with a survey on character creation with writers (N=30), followed by two qualitative user studies (N=7 and N=8).
Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems
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.
Methods for the Design and Evaluation of HCI+NLP Systems
HCI and NLP traditionally focus on different evaluation methods.
The Impact of Multiple Parallel Phrase Suggestions on Email Input and Composition Behaviour of Native and Non-Native English Writers
We present an in-depth analysis of the impact of multi-word suggestion choices from a neural language model on user behaviour regarding input and text composition in email writing.
Neural network identification of people hidden from view with a single-pixel, single-photon detector
Light scattered from multiple surfaces can be used to retrieve information of hidden environments.
