The DOI matches its Crossref record; 42 of the 43 references it cites were found in a registry or an index.
Personalized input: improving ten-finger touchscreen typing through automatic adaptation
Abstract
Although typing on touchscreens is slower than typing on physical keyboards, touchscreens offer a critical potential advantage: they are software-based, and, as such, the keyboard layout and classification models used to interpret key presses can dynamically adapt to suit each user's typing pattern. To explore this potential, we introduce and evaluate two novel personalized keyboard interfaces, both of which adapt their underlying key-press classification models. The first keyboard also visually adapts the location of keys while the second one always maintains a visually stable rectangular layout. A three-session user evaluation showed that the keyboard with the stable rectangular layout significantly improved typing speed compared to a control condition with no personalization. Although no similar benefit was found for the keyboard that also offered visual adaptation, overall subjective response to both new touchscreen keyboards was positive. As personalized keyboards are still an emerging area of research, we also outline a design space that includes dimensions of adaptation and key-press classification features.
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“We join Bennett, Das, and collaborators in suggesting that advocacy is integral to creating access by shining the light on the understated work done by people with disabilities to create and facilitate access [6,15].”
From Advocacy as Access Work: How People with Visual Impairments Gain Access to Digital Banking in India (2023) · cites this paper as [15]
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“Thus, we contribute the novel dimension of demonstrating competence in addition to confirming prior research showing that the work of self-advocacy involves creating awareness [15,60], escalation [3,37], and gathering support [3,37].”
From Advocacy as Access Work: How People with Visual Impairments Gain Access to Digital Banking in India (2023) · cites this paper as [15]
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Metadata
- Authors
- Findlater, L., & Wobbrock, J.
- Affiliations
- University of Washington (US)
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2012-05-05
- Pages
- 815-824
- OpenAlex
- W2118711147
- Cited by
- 106
- References
- 43
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 1 · 2023: 6 · 2022: 8 · 2021: 7 · 2020: 8 · 2019: 8 · 2018: 8 · 2017: 7 · 2016: 3 · 2015: 14 · 2014: 11 · 2013: 14 · 2012: 4
- FWCI
- 9.66
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Funders
- National Science Foundation
- Natural Sciences and Engineering Research Council of Canada
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
- Keywords
- touchscreen keyboards, typing speed, user personalization, design space exploration
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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