The single-finger keyboard layout problem

2009 ◽  
Vol 36 (11) ◽  
pp. 3002-3012 ◽  
Author(s):  
Mauro Dell’Amico ◽  
José Carlos Díaz Díaz ◽  
Manuel Iori ◽  
Roberto Montanari
Keyword(s):  
Layout Problem ◽  
Single Finger ◽  
Keyboard Layout

An optimized single-finger Arabic keyboard layout

2014 ◽  
Author(s):  
Manar I. Hosny ◽  
Nourah Alswaidan ◽  
Abir Benabid Najjar
Keyword(s):  
Single Finger ◽  
Keyboard Layout

scholarly journals Application of a genetic algorithm to the keyboard layout problem

PLoS ONE ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. e0226611
Author(s):  
Amir Hosein Habibi Onsorodi ◽  
Orhan Korhan
Keyword(s):  
Genetic Algorithm ◽  
Layout Problem ◽  
Keyboard Layout

Improving the Evolutionary Computation for General Keyboard Arrangement Problem

2015 ◽  
Vol 804 ◽  
pp. 337-340
Author(s):  
Veerawan Janthanasub ◽  
Phayung Meesad
Keyword(s):  
Evolutionary Computation ◽  
Language Processing ◽  
Hand Movement ◽  
New Method ◽  
Human Hand ◽  
Thai Language ◽  
Arrangement Problem ◽  
Single Finger ◽  
Computer Keyboard ◽  
Keyboard Layout

Thai traditional computer keyboard layouts are derived from the Thai typewriter keyboard's layout, which supports typing with ten fingers. Hence, this layout is not optimized for typing on touch screen device with one finger. This article presents a new method in arrangement the position of Thai characters on the virtual keyboard to support typing by a single finger. The process of the new method consist of analysing Thai Language to create difference digraph table from Benchmark for Enhancing the Standard of Thai language processing corpus (BEST corpus), designed keyboard layout using evolutionary computation technique and estimated time speed of typing by model human hand movement with Fitts' Law. The experiment shows that new keyboard designed by the proposed method has achieved a typing speed faster than the Thai traditional keyboard layout.

The Effects of Keyboard Layout and Size on Smartphone Typing Performance

2020 ◽  
Vol 64 (1) ◽  
pp. 985-989
Author(s):  
Colton J. Turner ◽  
Barbara S. Chaparro ◽  
Inga M. Sogaard ◽  
Jibo He
Keyword(s):  
Error Rates ◽  
Hand Posture ◽  
Standard Keyboard ◽  
Keyboard Layout

Usability and typing performance on a smartphone with two unique QWERTY keyboard layouts (standard vs. curved) on two phone sizes (4.0-inch vs. 5.5-inch displays) was investigated in this study. The effect of hand posture was also investigated (one- vs. two-thumbs). Results show users typed the slowest when using one thumb with the curved keyboard on the small phone (15 WPM), and the fastest when using two thumbs with the standard keyboard on the large phone (24 WPM). Typing performance with the curved keyboard on the large phone size (19 WPM) did not differ between typing with one thumb using the standard keyboard on the large or small phone, or with two thumbs using the standard keyboard on the small phone. Error rates were higher when using the curved keyboard, regardless of phone size. Subjectively, the curved keyboard was rated inferior for both phone sizes in comparison to the standard layout.

scholarly journals A Multi-User Interactive Coral Reef Optimization Algorithm for Considering Expert Knowledge in the Unequal Area Facility Layout Problem

2021 ◽  
Vol 11 (15) ◽  
pp. 6676
Author(s):  
Lorenzo Salas-Morera ◽  
Laura García-Hernández ◽  
Carlos Carmona-Muñoz
Keyword(s):  
Coral Reef ◽  
Collaborative Design ◽  
Expert Knowledge ◽  
Fitness Function ◽  
Facility Layout ◽  
Layout Problem ◽  
New Strategy ◽  
Problem Instances ◽  
Expert Designer ◽  
First Time

The problem of Unequal Area Facility Layout Planning (UA-FLP) has been addressed by a large number of approaches considering a set of quantitative criteria. Moreover, more recently, the personal qualitative preferences of an expert designer or decision-maker (DM) have been taken into account too. This article deals with capturing more than a single DM’s personal preferences to obtain a common and collaborative design including the whole set of preferences from all the DMs to obtain more complex, complete, and realistic solutions. To the best of our knowledge, this is the first time that the preferences of more than one expert designer have been considered in the UA-FLP. The new strategy has been implemented on a Coral Reef Optimization (CRO) algorithm using two techniques to acquire the DMs’ evaluations. The first one demands the simultaneous presence of all the DMs, while the second one does not. Both techniques have been tested over three well-known problem instances taken from the literature and the results show that it is possible to obtain sufficient designs capturing all the DMs’ personal preferences and maintaining low values of the quantitative fitness function.

Applications of Multiple Objective Genetic Algorithms in the Optimization Design of Tracked Self-Moving Power’s Layout

2013 ◽  
Vol 307 ◽  
pp. 161-165
Author(s):  
Hai Jin ◽  
Jin Fa Xie
Keyword(s):  
Optimization Design ◽  
Pareto Front ◽  
Layout Optimization ◽  
Multiple Objective ◽  
Multi Objective Optimization ◽  
Layout Problem ◽  
Basic Principles ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Set Up

A multi-objective genetic algorithm is applied into the layout optimization of tracked self-moving power. The layout optimization mathematical model was set up. Then introduced the basic principles of NSGA-Ⅱ, which is a Pareto multi-objective optimization algorithm. Finally, NSGA-Ⅱwas presented to solve the layout problem. The algorithm was proved to be effective by some practical examples. The results showed that the algorithm can spread toward the whole Pareto front, and provide many reasonable solutions once for all.

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