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Found 9 papers, 0 papers with code
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.
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.
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.
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.").
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.
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.
