#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

Application of a genetic algorithm to the keyboard layout problem


Autoři: Amir Hosein Habibi Onsorodi aff001;  Orhan Korhan aff001
Působiště autorů: Department of Industrial Engineering, Eastern Mediterranean University, Famagusta, North Cyprus, Turkey aff001
Vyšlo v časopise: PLoS ONE 15(1)
Kategorie: Research Article
doi: https://doi.org/10.1371/journal.pone.0226611

Souhrn

The number of people who use computers for business and personal purposes increases as technology grows. The application of ergonomic practices on computer workstations reduces the musculoskeletal discomfort experienced and increases the overall satisfaction of the users. Keyboards are available in various systems, from computers to mobile devices, and have difference shapes and sizes. The keyboard size and shape is known to influence the user’s upper extremities. Alternative keyboard designs help diminish the pain in the arms that occurs due to awkward arm postures. Most previous studies tried to optimize the keyboard layout based on ergonomic typing and the frequency of letters’ co-occurrence. This research considers the frequency of the appearance of the most used 3,000 words in the English language. First, the frequency of each letter pair is calculated by the Text Analyzer. Then, a genetic algorithm is applied to design an ergonomically optimized keyboard to minimize the total distance of finger travel among the selected alphanumeric characters. The results showed that the distance travelled obtained by the proposed keyboard layout is less than that for the QWERTY keyboard in all different types of texts, in which an average of 6.04% improvement was achieved. Therefore, the proposed design can be used for keyboards to reduce time and fatigue.

Klíčová slova:

Algorithms – Computer hardware – Computers – Ergonomics – Fatigue – Genetic algorithms – Language – Optimization


Zdroje

1. Gerard MJ, Armstrong TJ, Franzblau A, Martin BJ, Rempel DM. 1999. The effects of keyswitch stiffness on typing force, finger electromyography, and subjective discomfort. American Industrial Hygiene Association Journal, 60(6), 762–769. doi: 10.1080/00028899908984499 10635542

2. Korhan O, Mackieh A. 2010. A Model for Occupational Injury Risk Assessment of Musculoskeletal Discomfort and Their Frequencies in Computer Users. Safety Science, 48 (7), 868–877.

3. Capobianco G, Lee MD, Cohen S. 1999. Alphabetic Vs. QWERTY Keyboard Layouts for Touch Screens: Hasn't Someone Already Done That? Proceedings of the Human Factors and Ergonomics Society 43rd Annual Meeting.

4. Mackenzie S, Shawn X, Zhang R. 2003. William Soukoreff. Text entry using soft keyboards. Behavior & Information Technology, 1999, 18(4), 235–244.

5. Eggers J, Feillet D, Kehl S, Wagner MO, Yannou B. Optimization of the keyboard arrangement problem using an Ant Colony algorithm. 2003. European Journal of Operational Research, 148 (2003) 672–686.

6. Wagner MO, Yannou B, Kehl S, Feillet D, Eggers J. 2010. Ergonomic modelling and optimization of the keyboard arrangement with an ant colony algorithm. Eng. Design 14, 187–208

7. Liao C, Choe P. Chinese Keyboard Layout Design Based on Polyphone Disambiguation and a Genetic Algorithm. Intl. Journal of Human–Computer Interaction. 2013; 29, 391–403.

8. Bi X, Smith BA, Zhai S. Multilingual Touchscreen Keyboard Design and Optimization, Human-Computer Interaction. 2012; 27(4), 352–382.

9. Karrenbauer A, Oulasvirta A. 2014. Improvements to keyboard optimization with integer programming. Proceedings of the 27th annual ACM symposium on User interface software and technology, 621–626.

10. Iseri A, Eksioglu M. 2015. Estimation of digraph costs for keyboard layout optimization. International Journal of Industrial Ergonomics, 48, 127–138.

11. Yang N, Mali AD. 2016. Modifying keyboard layout to reduce finger-travel distance. IEEE 28th International Conference on Tools with Artificial Intelligence, 165–168.

12. Govind M, Panicker VV. 2016. Optimization of a single finger keyboard layout using genetic algorithm and TOPSIS. Int J Scientific Eng Res, 7, 102–5.


Článek vyšel v časopise

PLOS One


2020 Číslo 1
Nejčtenější tento týden
Nejčtenější v tomto čísle
Kurzy

Zvyšte si kvalifikaci online z pohodlí domova

KOST
Koncepce osteologické péče pro gynekology a praktické lékaře
nový kurz
Autoři: MUDr. František Šenk

Sekvenční léčba schizofrenie
Autoři: MUDr. Jana Hořínková

Hypertenze a hypercholesterolémie – synergický efekt léčby
Autoři: prof. MUDr. Hana Rosolová, DrSc.

Svět praktické medicíny 5/2023 (znalostní test z časopisu)

Imunopatologie? … a co my s tím???
Autoři: doc. MUDr. Helena Lahoda Brodská, Ph.D.

Všechny kurzy
Kurzy Podcasty Doporučená témata Časopisy
Přihlášení
Zapomenuté heslo

Zadejte e-mailovou adresu, se kterou jste vytvářel(a) účet, budou Vám na ni zaslány informace k nastavení nového hesla.

Přihlášení

Nemáte účet?  Registrujte se

#ADS_BOTTOM_SCRIPTS#