title: GhostWriter: Augmenting Collaborative Human-AI Writing Experiences
    Through Personalization and Agency
summary: Large language models (LLMs) are becoming more prevalent and have found a
  ubiquitous use in providing different forms of writing assistance. However,
  LLM-powered writing systems can frustrate users due to their limited
  personalization and control, which can be exacerbated when users lack
  experience with prompt engineering. We see design as one way to address these
  challenges and introduce GhostWriter, an AI-enhanced writing design probe where
  users can exercise enhanced agency and personalization. GhostWriter leverages
  LLMs to learn the user's intended writing style implicitly as they write, while
  allowing explicit teaching moments through manual style edits and annotations.
  We study 18 participants who use GhostWriter on two different writing tasks,
  observing that it helps users craft personalized text generations and empowers
  them by providing multiple ways to control the system's writing style. From
  this study, we present insights regarding people's relationship with
  AI-assisted writing and offer design recommendations for future work.
paper_authors._id: 65cd95e43f15e89aefddf2f9
paper_authors.name: Catherine Yeh
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-02-15T10:00:34.532Z
paper_authors._id: 6312606695407887cb78af89
paper_authors.avatarUrl: /avatars/55d2ec0736ae91dc0c07c99bc418528f.svg
paper_authors.fullname: Catherine Yeh
paper_authors.type: user
paper_authors.user: catherinesyeh
paper_authors._id: 65cd95e43f15e89aefddf2fa
paper_authors.name: Gonzalo Ramos
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-02-15T10:00:41.057Z
paper_authors._id: 60f0dc97807badf815f74475
paper_authors.avatarUrl: /avatars/3a57448696715e2e621a0d97be7ea0f6.svg
paper_authors.fullname: Gonzalo Ramos
paper_authors.type: user
paper_authors.user: gonzoramos
paper_authors._id: 65cd95e43f15e89aefddf2fb
paper_authors.name: Rachel Ng
paper_authors._id: 65cd95e43f15e89aefddf2fc
paper_authors.name: Andy Huntington
paper_authors._id: 65cd95e43f15e89aefddf2fd
paper_authors.name: Richard Banks
paper_title: GhostWriter: Augmenting Collaborative Human-AI Writing Experiences
    Through Personalization and Agency
paper_summary: Large language models (LLMs) are becoming more prevalent and have found a
  ubiquitous use in providing different forms of writing assistance. However,
  LLM-powered writing systems can frustrate users due to their limited
  personalization and control, which can be exacerbated when users lack
  experience with prompt engineering. We see design as one way to address these
  challenges and introduce GhostWriter, an AI-enhanced writing design probe where
  users can exercise enhanced agency and personalization. GhostWriter leverages
  LLMs to learn the user's intended writing style implicitly as they write, while
  allowing explicit teaching moments through manual style edits and annotations.
  We study 18 participants who use GhostWriter on two different writing tasks,
  observing that it helps users craft personalized text generations and empowers
  them by providing multiple ways to control the system's writing style. From
  this study, we present insights regarding people's relationship with
  AI-assisted writing and offer design recommendations for future work.
paper_ai_summary: GhostWriter, an AI-enhanced writing system, learns users' writing style and provides personalization and control through both implicit learning and explicit annotations.
paper_ai_keywords: large language models LLMs AI-enhanced writing design probe GhostWriter writing style manual style edits annotations personalized text generation AI-assisted writing