Investigating the Tradeoffs of Everyday Text-Entry Collection Methods-Reference-Cited by-同舟云学术

Investigating the Tradeoffs of Everyday Text-Entry Collection Methods

Published:2022-04-29 Issue: Volume: Page:
ISSN:
Container-title:CHI Conference on Human Factors in Computing Systems
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Author:

Rodrigues André¹,Nicolau Hugo²,Santos André¹,Branco Diogo¹,Rainey Jay³,Verweij David³,Smeddinck Jan David³,Montague Kyle⁴,Guerreiro Tiago¹

Affiliation:

1. LASIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal

2. ITI/LARSyS, Instituto Superior Técnico, Universidade de Lisboa, Portugal

3. Open Lab, Newcastle University, United Kingdom

4. Northumbria University, United Kingdom

Funder

Innovative Medicines Initiative 2 Joint Undertaking

FCT

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3491102.3501908

Reference66 articles.

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3. Hilal Al-Libawy , Ali Al-Ataby , Waleed Al-Nuaimy , Majid A. Al-Taee , and Qussay Al-Jubouri . 2016 . Fatigue Detection Method Based on Smartphone Text Entry Performance Metrics. In 2016 9th International Conference on Developments in eSystems Engineering (DeSE). 40–44 . https://doi.org/10.1109/DeSE.2016.9 Hilal Al-Libawy, Ali Al-Ataby, Waleed Al-Nuaimy, Majid A. Al-Taee, and Qussay Al-Jubouri. 2016. Fatigue Detection Method Based on Smartphone Text Entry Performance Metrics. In 2016 9th International Conference on Developments in eSystems Engineering (DeSE). 40–44. https://doi.org/10.1109/DeSE.2016.9

4. On Suggesting Phrases vs. Predicting Words for Mobile Text Composition

5. Detection of Motor Impairment in Parkinson's Disease Via Mobile Touchscreen Typing

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