Five Challenges for Intelligent Text Entry Methods
Open accessAbstract
For text entry methods to be useful they have to deliver high entry rates and low error rates. At the same time they need to be easy to learn and provide effective means of correcting mistakes. Intelligent text entry methods combine AI techniques with human‐computer interaction (HCI) theory to enable users to enter text as efficiently and effortlessly as possible. Here I sample a selection of such techniques from the research literature and set them into their historical context. I then highlight five challenges for text entry methods that aspire to make an impact in our society: localization, error correction, editor support, feedback, and context of use.
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Omission errors are usually described as cognitive errors because they are the absence of characters.
“These errors are usually described as cognitive errors [11], since they are the absence of characters.”
From Typing Performance of Blind Users (2015) · cites this paper as [11]
In “Challenge 2: Error Correction” (p. 89), the paper defines cognitive errors by an improper understanding of the intended word, not by missing characters. In “Walking the Last Mile” (page not specified), it describes an accidentally omitted tap as a deletion error, contrary to classifying omissions as cognitive because characters are absent. (LLM, conf=0.84)
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- Authors
- Kristensson, P. O., & Jameson, A.
- Affiliations
- University of Cambridge (GB)
- ORCID
- Kristensson, Per Ola
- Venue
- AI Magazine
- Publisher
- Wiley
- Published
- 2009-12
- Volume
- 30
- Issue
- 4
- Pages
- 85-94
- ISSN
- 0738-4602 (ISSN-L)
- 2371-9621
- OpenAlex
- W1680743030
- Cited by
- 75
- References
- 33
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 5 · 2023: 6 · 2022: 4 · 2021: 2 · 2020: 2 · 2019: 2 · 2018: 6 · 2017: 1 · 2016: 4 · 2015: 7 · 2014: 11 · 2013: 5 · 2012: 9
- FWCI
- 7.98
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- AI Magazine (publishedVersion)
- Funders
- European Commission (220793)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
- Keywords
- handwriting recognition, entry rate, error correction, localization, user feedback, context of use, human-computer interaction
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