Flickey: Flick-Based QWERTY Software Keyboard for Ultra-small Touch Screen Devices

Author(s):  
Akira Ishii ◽  
Hiroyuki Hakoda ◽  
Buntarou Shizuki
2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 816-816
Author(s):  
W Quin Yow ◽  
Tharshini Lokanathan ◽  
Hui-Ching Chen

Abstract There is an increasing interest in using touch-screen devices to conduct cognitive training and collect measurements of cognitive performance. However, older adults often have concerns such as anxiety about using these systems and poor comprehension of language instructions (Czaja & Lee, 2007). Given that Singapore is a multilingual society, we examined the deployment of an age-friendly multi-modal touch-screen platform (a game-based application on a tablet) in a cognitive intervention research. After modification of the platform to include features such as simplified instructions, multi-level prompts with a local accent, and four different instructional languages (including local dialects), participants were less reliant on the researchers and reported fewer difficulties in comprehending the instructions. The integrity and reliability of the data collected improved as a result. In sum, multilingual age-friendly touch-screen platform can be a novel yet effective method to study cognitive interventions in the Asian older adult populations.


Author(s):  
Ibukun A. Sonaike ◽  
Tosin A. Bewaji ◽  
Paul Ritchey ◽  
S. Camille Peres

Background:Shape writing is relatively new technology for on-screen keyboards that enable users of mobile touch-screen devices to input text by drawing continuous lines. With growth of touch-screen device usage, there has risen the need to investigate potential risks that may occur during prolonged usage. Objective: The biomechanical strain on upper limb muscles were assessed while study-participants used Swype technology on a tablet touch screen device and compared with traditional/regular input methods. Methods: Study-participants performed typing tasks (email and text) using Swype and regular input methods under counterbalanced conditions with sEMG data collected to measure muscle activity during tasks. Results: Email & Text had the same exertion for all muscles except the Extensor. The interaction between task and muscle was significant, F (1.6, 27.5) = 15.39, p < .001, ηp2 = 0.48. The interaction between muscle, task and method was also significant, F (2.19, 37.19) = 3.6, p = 0.03, ηp2= 0.18. Exertion was lower for Swype but with marginal significance. Overall, Email resulted in less dynamic activity than Text with Main effects F(1, 17) = 10.07, p = 0.006, ηp2 = 0.37. Extensor has more dynamic activity than other muscles with main effect F(1.8, 29.9) = 16.51, p < 0.001, ηp2 = 0.49. Conclusion: Results indicate that Swype presents no more biomechanical strain than regular input for most muscles. Swype may result in less exertion for the Extensor muscles in the lower arm. This may be particularly true for tasks requiring interactions like those found in the email task.


2012 ◽  
Vol 1 (1) ◽  
pp. 1 ◽  
Author(s):  
Zelai Saenz de Urturi Breton ◽  
Fernando Jorge Hernandez ◽  
Amaia Mendez Zorrilla ◽  
Begonya Garcia Zapirain

Author(s):  
Mohammed Fakrudeen ◽  
Maaruf Ali ◽  
Sufian Yousef ◽  
Abdelrahman H. Hussein

2014 ◽  
Vol 5 (2) ◽  
pp. 54-71 ◽  
Author(s):  
Nabil Hewahi ◽  
Ghadeer Abu-Shaban ◽  
Esraa El-Ashqer ◽  
Ayat Abu-Noqaira ◽  
Nour El-Wadiya

As smart phones appeared with their elegant, easy and exciting touch functionality, the use of touch screen devices has been spreading very fast. Beside the previous advantages, smart phones addresses some new challenges for people with disabilities. Most of visually impaired people don't prefer using touch-screen devices, as these lack the tactile feedback and are visually demanding. However, there have been some solutions to come over these problems, but they were not enough. Some of these solutions is to connect a special equipment to a smart phone to allow the visually impaired user to enter the required input. Other applications help visually impaired people to use the smart phones and read whatever on the screen by hovering their finger tips on the text. Visually impaired people who use smart phones have to memorize QWERTY keyboard which have a large number of targets with small locations specified for each target which will lead to a high proportion of error occurrence. In this paper, the authors propose ABTKA- Arabic Braille Touch Keyboard for Android Users. This application is the first application for Arabic language that uses Braille language for visually impaired who are using smart phones or intended to do so. ABTKA facilitates text-entry functionality by supporting Braille writing on touch screens. The used approach in the proposed system can be easily adapted to other languages. The main advantages of the used approach are that it does not need any extra equipment to be connected to the smart phone; it is dynamic (no fixed positions for the touch points), simple to use, one entry for each character, supported by voice and respond promptly to the input. ABTKA involves various algorithms to achieve its objectives. It starts with entering the user standard locations of finger tips, then the user can enter any Braille character which has to be reindexed to be in the same order of Perkins Brailler's buttons. Any inserted character is converted to Arabic character. Any converted character will have a voice feedback. Words and full sentences will also have voice feedback. ABTKA has been tested by various visually impaired people and proved that it is easy to learn and simple to use.


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