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Метод нейро-нечеткой оценки пригодности использования графического интерфейса пользователя

ISSN 0236-3933. Вестник МГТУ им. Н.Э. Баумана. Сер. Приборостроение. 2016. № 5

73

trained by expert data. Model of human-computer interac-

tion is being formalized using directed graph. An example

provided in a paper describes usability estimation of different

mockups for control action execution interface for space

vehicle onboard computer system

REFERENCES

[1] Standard RF GOST R ISO 9241-11−2010. Ergonomicheskie trebovaniya k provedeniyu

ofisnykh rabot s ispol'zovaniem videodispleynykh terminalov (VDT). Ch. 11. Rukovodstvo po

obespecheniyu prigodnosti ispol'zovaniya [State Standard R ISO 9241-11−2010. Ergonomic

requirements for office work using video display terminals (VDT). Part 11. Guidelines for usa-

bility]. Moscow, Standartinform Publ., 2011. 28 p.

[2] Fitts P.M. The information capacity of the human motor system in controlling the ampli-

tude of movement.

Journal of Experimental Psychology

, 1954, vol. 47 (6), pp. 381–391.

[3] Beamish D., Bhatti S., Chubbs S., MacKenzie S., Wu J., Jing Z. Estimation of psychomotor

delay from the Fitts’ law coefficients.

Biological Cybernetics

, 2009, vol. 101, iss. 4, pp. 279−296.

[4] Raskin J. The human interface. New directions for designing interactive systems. Addison-

Wesley Professional, 2000.

[5] Standard RF GOST 22269−76. Sistema “Chelovek−mashina”. Rabochee mesto operatora.

Vzaimnoe raspolozhenie elementov rabochego mesta. Obshchie ergonomicheskie trebovaniya

[State Standard 22269−76. Man-machine system. Operator's workstation. The relative position

of the working space elements. General ergonomic requirements]. Moscow, Izd. Standartov

Publ., 1988. 4 p.

[6] Oztekin A., Кong Z., Uysal Ö

.

UseLearn: A novel checklist and usability evaluation method

for eLearning systems by criticality metric analysis.

International Journal of Industrial Ergo-

nomics

, 2010, vol. 40, pp. 455−469.

[7] Oztekin A., Delen D., Turkyilmaz A., Zaim S

.

A machine learning-based usability evalua-

tion method for eLearning systems.

Decision Support Systems

, 2013, vol. 56, pp. 63−73.

[8] Korvald C., Kim E., Reza H

.

Evaluation and implementation of machine learning tech-

niques in usability testing for web sites.

Proceedings of the 47th Annual Midwest Instruction

and

Computing

Symposium

,

April

2014.

Verona,

WI.

Available

at:

http://micsymposium.org/mics2014/ProceedingsMICS_2014/mics2014_submission_23.pdf

(accessed 14.10.2015).

[9] Myasnikov A.S. Decision Support System for buying a car.

Nauka i obrazovanie

.

MGTU

im. N.E. Baumana

[Science & Education of the Bauman MSTU. Electronic Journal], 2009,

no. 1. Available at:

http://technomag.neicon.ru/en/doc/113752.html

[10] Kuznetsov M.A., Isaev E.A. Evaluation attractive location residential building in the city

array.

Izvestiya VolgGTU

[Izvestiya Volgograd State Technical University. Ser. Actual prob-

lems of management, computing hardware and informatics in engineering systems], 2015,

no. 2 (157), pp. 122−127 (in Russ.).

[11] Fuzzylite. A fuzzy logic control library and application. Available at:

http://www.fuzzylite.com

(accessed 21.07.2015).