Rambler: Supporting Writing With Speech via LLM-Assisted Gist Manipulation
Open accessAbstract
Dictation enables efficient text input on mobile devices. However, writing with speech can produce disfluent, wordy, and incoherent text and thus requires heavy post-processing. This paper presents Rambler, an LLM-powered graphical user interface that supports gist-level manipulation of dictated text with two main sets of functions: gist extraction and macro revision. Gist extraction generates keywords and summaries as anchors to support the review and interaction with spoken text. LLM-assisted macro revisions allow users to respeak, split, merge, and transform dictated text without specifying precise editing locations. Together they pave the way for interactive dictation and revision that help close gaps between spontaneously spoken words and well-structured writing. In a comparative study with 12 participants performing verbal composition tasks, Rambler outperformed the baseline of a speech-to-text editor + ChatGPT, as it better facilitates iterative revisions with enhanced user control over the content while supporting surprisingly diverse user strategies.
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Cited by
Sorted by citations
Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing Process
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“Finally, reviewing support was limited, and focused on evaluation using quantitative feedback like readability metrics [87], and visual feedback such as progress bars [89].”
InfluentialRambler in the Wild: A Diary Study of LLM-Assisted Writing With Speech
Yang, X., Li, W., Lee, M. G., Li, Z., Zamfirescu-Pereira, J. D., & Liu, C. (2025) · Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706599.3706676 · Cited by 1 · see citing works
Self-citation
- Authors
- Lin, S., Warner, J., Zamfirescu-Pereira, J. D., Lee, M. G., Jain, S., Cai, S., Lertvittayakumjorn, P., Huang, M. X., Zhai, S., Hartmann, B., & Liu, C.
- Affiliations
- University of California, Berkeley (US)
- Google (United States) (US)
- EECS, UC Berkeley, United States
- City University of Hong Kong (HK)
- ORCID
- Venue
- Proceedings of the CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2024-05-11
- Pages
- 1-19
- OpenAlex
- W4396833729
- Cited by
- 39
- References
- 3
- Citations by year
- 2026: 7 · 2025: 28 · 2024: 4
- FWCI
- 12.57
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- arXiv (Cornell University) (submittedVersion, cc-by-nc-sa)
- arXiv (Cornell University)
- Funders
- Hong Kong Research Grants Council - ECS scheme (CityU 21209419)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Keywords
- keyword extraction, textual revision, graphical user interface, disfluent speech, mobile writing
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