scholarly journals A Comparative Study on Single-handed Keyboards on Large-screen Mobile Devices

2021 ◽  
Author(s):  
kunpeng zhang ◽  
Zhigang Deng
Keyword(s):  
Comparative Study ◽  
Learning Curve ◽  
Mobile Devices ◽  
Significant Role ◽  
Language Models ◽  
Text Entry ◽  
Decoding Algorithms ◽  
Large Screen ◽  
Input Noise ◽  
Statistical Decoding

<div>Many questions regarding single-hand text entry on modern smartphones (in particular, large-screen smartphones) remain under-explored, such as, (i) will the existing prevailing single-handed keyboards fit for large-screen smartphone users? and (ii) will individual-customization improve single-handed keyboard performance? In this paper we study single-handed typing behaviors on several representative keyboards on large-screen mobile devices. We found that, (i) the user-adaptive-shape curved keyboard performs best among all the studied keyboards; (ii) users' familiarity with the Qwerty layout plays a significant role at the beginning, but after several sessions of training, the user-adaptive curved keyboard can have the best learning curve and performs best; (iii) generally the statistical decoding algorithms via spatial and language models can well handle the input noise from single-handed typing.</div>

scholarly journals A Comparative Study on Single-handed Keyboards on Large-screen Mobile Devices

2021 ◽  
Author(s):  
kunpeng zhang ◽  
Zhigang Deng
Keyword(s):  
Comparative Study ◽  
Learning Curve ◽  
Mobile Devices ◽  
Significant Role ◽  
Language Models ◽  
Text Entry ◽  
Decoding Algorithms ◽  
Large Screen ◽  
Input Noise ◽  
Statistical Decoding

<div>Many questions regarding single-hand text entry on modern smartphones (in particular, large-screen smartphones) remain under-explored, such as, (i) will the existing prevailing single-handed keyboards fit for large-screen smartphone users? and (ii) will individual-customization improve single-handed keyboard performance? In this paper we study single-handed typing behaviors on several representative keyboards on large-screen mobile devices. We found that, (i) the user-adaptive-shape curved keyboard performs best among all the studied keyboards; (ii) users' familiarity with the Qwerty layout plays a significant role at the beginning, but after several sessions of training, the user-adaptive curved keyboard can have the best learning curve and performs best; (iii) generally the statistical decoding algorithms via spatial and language models can well handle the input noise from single-handed typing.</div>

scholarly journals A Participatory Design and Formal Study Investigation into Mobile Text Entry for Older Adults

2016 ◽  
Vol 8 (2) ◽  
pp. 20-46 ◽  
Author(s):  
Emma Nicol ◽  
Andreas Komninos ◽  
Mark D Dunlop
Keyword(s):  
Older Adults ◽  
Comparative Study ◽  
Mobile Devices ◽  
Participatory Design ◽  
Text Entry ◽  
Younger Adults ◽  
Formal Study ◽  
Study Techniques

Text entry remains key to many tasks on touchscreen smartphones and is an important factor in the usability of such devices. The known problems of text entry can be particularly acute for older adults due to physical and cognitive issues associated with ageing. In a study of mobile text entry the authors employed a variety of participatory design and formal comparative study techniques in order to explore the requirements of this group of users and to discover the key differences in texting activity between them and younger users of mobile devices. They report on the findings of a lab study of texting behaviour of older adults. The authors' findings indicate differences in attitudes to texting styles and tasks between older and younger adults. They also identify some differences in typing behaviour and reflect on methods.

Pickup Usability Dominates

2011 ◽  
pp. 42-59 ◽  
Author(s):  
Mark David Dunlop ◽  
Michelle Montgomery Masters
Keyword(s):  
Mobile Phone ◽  
Mobile Devices ◽  
Touch Screen ◽  
Theoretical Modelling ◽  
Text Entry ◽  
Full Size ◽  
Entry Speed ◽  
Research Challenge ◽  
Input Techniques ◽  
Initial Results

Text entry on mobile devices (e.g. phones and PDAs) has been a research challenge since devices shrank below laptop size: mobile devices are simply too small to have a traditional full-size keyboard. There has been a profusion of research into text entry techniques for smaller keyboards and touch screens: some of which have become mainstream, while others have not lived up to early expectations. As the mobile phone industry moves to mainstream touch screen interaction we will review the range of input techniques for mobiles, together with evaluations that have taken place to assess their validity: from theoretical modelling through to formal usability experiments. We also report initial results on iPhone text entry speed.

A comparative study of local descriptors for Arabic character recognition on mobile devices

2015 ◽  
Author(s):  
Maroua Tounsi ◽  
Ikram Moalla ◽  
Adel M. Alimi ◽  
Franck Lebourgeois
Keyword(s):  
Comparative Study ◽  
Mobile Devices ◽  
Character Recognition ◽  
Local Descriptors

Comparative Study of Elementary and Secondary Teacher Perceptions of Mobile Technology in Classrooms

2018 ◽  
Vol 10 (1) ◽  
pp. 12-33 ◽  
Author(s):  
David De Jong ◽  
Trent Grundmeyer ◽  
Chad Anderson
Keyword(s):  
Comparative Study ◽  
Teacher Perceptions ◽  
Mobile Devices ◽  
Secondary Teachers ◽  
Mobile Technology ◽  
Mobile Device ◽  
Secondary Teacher ◽  
Technology In The Classroom ◽  
Survey Results ◽  
And Training

More and more schools are implementing a 1:1 mobile device initiative for their students because the future of learning will have technology embedded within the curriculum. Teachers are often given the direction to utilize mobile devices in the classroom, but quite often educators do not understand the significance of this technology or agree with its purpose. The purpose of this study was to explore elementary and secondary teacher perceptions of mobile technology in the classroom. According to the survey results, elementary and secondary teachers feel positive about the uses and the importance of mobile technology in the classroom. These positive perceptions by teachers regardless of gender, age, and training indicate that schools should continue to allocate resources to purchase mobile devices for all students.

scholarly journals Defining Stable Touch Area Based on a Large-Screen Smart Device in 3D-Touch Interface

2019 ◽  
Vol 13 (02) ◽  
pp. 115
Author(s):  
Younghoon Seo ◽  
DongRyeol Shin ◽  
Choonsung Nam
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Execution Time ◽  
Specific Area ◽  
Smart Device ◽  
Font Size ◽  
Large Screen ◽  
Force Data ◽  
Stable Area ◽  
Touch Interfaces

<p><span lang="EN-US"><span style="font-family: Gulim; font-size: medium;">Touch interface technologies for mobile devices are essentially in use. The purpose of such touch interfaces is to run an application by touching a screen with a user’s finger or to implement various functions on the device. When the user has an attempt to use the touch interface, users tend to grab the mobile device with one hand. Because of the existence of untouchable areas to which the user cannot reach with the user’s fingers, it is possible to occur for a case where the user is not able to touch a specific area on the screen accurately. This results in some issues that the mobile device does not carry out the user’s desired function and the execution time is delayed due to the wrong implementation. Therefore, there is a need to distinguish the area where the user can stably input the touch interface from the area where the users cannot and to overcome the problems of the unstable touch area. Furthermore, when the size of the screen increases, these issues will become more serious because of an increase in the unstable touch areas. Especially, an interface that receives position and force data like 3D-touch requires the stable area setting different from the conventional 2D-touch. In this paper, we search and analyze the stable touch areas on the large screen where the user can do 3D-touch inputs.</span></span></p>

scholarly journals The influence of prior multiport experience on the learning curve for single-port thoracoscopic lobectomy: a multicentre comparative study†

2017 ◽  
Vol 51 (6) ◽  
pp. 1183-1187 ◽  
Author(s):  
Antonio E Martin-Ucar ◽  
Javier Aragon ◽  
Sergio Bolufer Nadal ◽  
Carlos Galvez Munoz ◽  
Qigang Luo ◽  
...  
Keyword(s):  
Comparative Study ◽  
Learning Curve ◽  
Single Port ◽  
Thoracoscopic Lobectomy
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