GhostWriter: Augmenting Collaborative Human-AI Writing Experiences
  Through Personalization and Agency
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.
65cd95e43f15e89aefddf2f9
Catherine Yeh
admin_assigned
2024-02-15T10:00:34.532Z
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/avatars/55d2ec0736ae91dc0c07c99bc418528f.svg
Catherine Yeh
user
catherinesyeh
65cd95e43f15e89aefddf2fa
Gonzalo Ramos
admin_assigned
2024-02-15T10:00:41.057Z
60f0dc97807badf815f74475
/avatars/3a57448696715e2e621a0d97be7ea0f6.svg
Gonzalo Ramos
user
gonzoramos
65cd95e43f15e89aefddf2fb
Rachel Ng
65cd95e43f15e89aefddf2fc
Andy Huntington
65cd95e43f15e89aefddf2fd
Richard Banks
GhostWriter: Augmenting Collaborative Human-AI Writing Experiences
  Through Personalization and Agency
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.
GhostWriter, an AI-enhanced writing system, learns users' writing style and provides personalization and control through both implicit learning and explicit annotations.
large language models LLMs AI-enhanced writing design probe GhostWriter writing style manual style edits annotations personalized text generation AI-assisted writing