Arc-Type and Tilt-Type: Pen-based Immersive Text Input for Room-Scale VR

Integration and evaluation of a lexical prediction engine in a virtual keyboard support on text input for people with mobility impairments

Annals of Physical and Rehabilitation Medicine ◽

10.1016/j.rehab.2012.07.341 ◽

2012 ◽

Vol 55 ◽

pp. e131-e132

Author(s):

S. Pouplin ◽

J. Robertson ◽

J.-Y. Antoine ◽

A. Blanchet ◽

J.-L. Kahloun ◽

...

Keyword(s):

Mobility Impairments ◽

Virtual Keyboard ◽

Text Input

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Study on an Integrated Development Environment for PAC with Complete Intellectual Property

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.135-136.944 ◽

2011 ◽

Vol 135-136 ◽

pp. 944-949

Author(s):

Ji Quan Yu ◽

Wan Tao Qian ◽

Xin Gang He

Keyword(s):

Data Management ◽

Research Team ◽

Interface Layer ◽

Functional Modules ◽

Integrated Development Environment ◽

Development Environment ◽

Integrated Development ◽

Text Input ◽

Input Mode ◽

Intellectual Properties

PAC(programmable automation controller) is a new trend of the industrial controller, but for now, most IDEs(integrated development environment) are still providing the PLC mode for users, which can not take full advantage of the PAC. Further more, in China, there is still not such IDE with complete intellectual properties for PACs designed by Chinese companies. For above purposes, the CHD-PACIDE was implemented which supported the ARM cortex-Mx series microcontrollers. This IDE consists of three layers, interface layer, data management layer and kernel layer, which managed functional modules respectively. Based on a C-like language Engineer C defined by our research team, the interface layer provided the structural graphical input mode and the text input mode for users to edit their code. The data management layer used the XML with specified format manage the flow of data. The kernel layer had two parts which were implemented in the IDE and the debug microcontroller stm8s, this layer can be used to debug user’s code through the Jtag port under the Coresight debugging structure of ARM. This IDE could be updated easily by adding the specific XML file for the new microcontroller used by the specific PAC.

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An Assistive Communication Brain-Computer Interface for Chinese Text Input

2010 4th International Conference on Bioinformatics and Biomedical Engineering ◽

10.1109/icbbe.2010.5515559 ◽

2010 ◽

Cited By ~ 7

Author(s):

James W. Minett ◽

Gang Peng ◽

Lin Zhou ◽

Hong-Ying Zheng ◽

William S.-Y. Wang

Keyword(s):

Chinese Text ◽

Brain Computer Interface ◽

Computer Interface ◽

Text Input ◽

Assistive Communication

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Positional gesture for advanced smart terminals: Simple gesture text input for syllabic scripts like Myanmar, Khmer and Bangla

2008 First ITU-T Kaleidoscope Academic Conference - Innovations in NGN: Future Network and Services ◽

10.1109/kingn.2008.4542252 ◽

2008 ◽

Author(s):

Ye Kyaw Thu ◽

Ouk Phavy ◽

Yoshiyori Urano

Keyword(s):

Text Input

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Preparation for strustural path analysis from plain text input output matrix

2011 International Conference on Uncertainty Reasoning and Knowledge Engineering ◽

10.1109/urke.2011.6007846 ◽

2011 ◽

Author(s):

Nova Nurviana ◽

Rizchi Wahyuni ◽

Idaman

Keyword(s):

Path Analysis ◽

Input Output ◽

Plain Text ◽

Text Input ◽

Output Matrix

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Context based emotion detection from text input

10.21437/interspeech.2004-329 ◽

2004 ◽

Author(s):

Jianhua Tao

Keyword(s):

Emotion Detection ◽

Text Input

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Testing the Use of Voice Input in a Smartphone Web Survey

Social Science Computer Review ◽

10.1177/0894439318810715 ◽

2018 ◽

Vol 38 (2) ◽

pp. 207-224 ◽

Cited By ~ 5

Author(s):

Melanie Revilla ◽

Mick P. Couper ◽

Oriol J. Bosch ◽

Marc Asensio

Keyword(s):

Completion Time ◽

Control Group ◽

Web Survey ◽

Control Groups ◽

Audio File ◽

Voice Input ◽

Text Input ◽

Standard Text ◽

The Voice ◽

Voice Recording

We implemented an experiment within a smartphone web survey to explore the feasibility of using voice input (VI) options. Based on device used, participants were randomly assigned to a treatment or control group. Respondents in the iPhone operating system (iOS) treatment group were asked to use the dictation button, in which the voice was translated automatically into text by the device. Respondents with Android devices were asked to use a VI button which recorded the voice and transmitted the audio file. Both control groups were asked to answer open-ended questions using standard text entry. We found that the use of VI still presents a number of challenges for respondents. Voice recording (Android) led to substantially higher nonresponse, whereas dictation (iOS) led to slightly higher nonresponse, relative to text input. However, completion time was significantly reduced using VI. Among those who provided an answer, when dictation was used, we found fewer valid answers and less information provided, whereas for voice recording, longer and more elaborated answers were obtained. Voice recording (Android) led to significantly lower survey evaluations, but not dictation (iOS).

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