TY  - GEN
AB  - The global rise of text entry modalities that are not desktop QWERTY keyboards—and therefore exhibit significant uncertainty in input actions—has created enormous opportunities for language technology to improve the quality and efficiency of these tools. In addition to the near-total ubiquity of smart phone touchscreen technologies, specialized communication tools for people with disabilities have exhibited a similar growth in research and adoption. While language technology is known to be a crucial feature in these text entry tools, its specific application is not always deeply studied. In this dissertation, I will explicitly examine the constraints and opportunities afforded by incrementality as they apply to language technology for text entry. In particular, I will explore user-directed text revision and error correction in these tools.
AD  - Oregon Health and Science University
AU  - Fowler, Andrew
DA  - 2020-04-21
DO  - 10.6083/vx021f77g
DO  - DOI
ED  - Bedrick, Steven
ED  - Roark, Brian
ED  - Fried-Oken, Melanie
ED  - Heeman, Peter
ED  - Song, Xubo
ED  - Zhai, Shumin
ED  - Advisor
ED  - Collaborator
ED  - Committee member
ED  - Committee member
ED  - Committee member
ED  - Collaborator
ID  - 7882
KW  - Text Messaging
KW  - Deep Learning
KW  - Brain-Computer Interfaces
KW  - Communication Aids for Disabled
KW  - Natural Language Processing
KW  - Supervised Machine Learning
L1  - https://digitalcollections.ohsu.edu/record/7882/files/Fowler.Andrew.2020.pdf
L2  - https://digitalcollections.ohsu.edu/record/7882/files/Fowler.Andrew.2020.pdf
L4  - https://digitalcollections.ohsu.edu/record/7882/files/Fowler.Andrew.2020.pdf
LK  - https://digitalcollections.ohsu.edu/record/7882/files/Fowler.Andrew.2020.pdf
N2  - The global rise of text entry modalities that are not desktop QWERTY keyboards—and therefore exhibit significant uncertainty in input actions—has created enormous opportunities for language technology to improve the quality and efficiency of these tools. In addition to the near-total ubiquity of smart phone touchscreen technologies, specialized communication tools for people with disabilities have exhibited a similar growth in research and adoption. While language technology is known to be a crucial feature in these text entry tools, its specific application is not always deeply studied. In this dissertation, I will explicitly examine the constraints and opportunities afforded by incrementality as they apply to language technology for text entry. In particular, I will explore user-directed text revision and error correction in these tools.
PB  - Oregon Health and Science University
PY  - 2020-04-21
T1  - Incremental methods for efficient and personalized text entry in noisy input environments
TI  - Incremental methods for efficient and personalized text entry in noisy input environments
UR  - https://digitalcollections.ohsu.edu/record/7882/files/Fowler.Andrew.2020.pdf
Y1  - 2020-04-21
ER  -