from 01.01.2021 until now
St. Petersburg, St. Petersburg, Russian Federation
from 01.01.2005 until now
St. Petersburg, St. Petersburg, Russian Federation
from 01.01.2021 until now
St. Petersburg, St. Petersburg, Russian Federation
UDC 331.101.1
CSCSTI 12.09
The paper presents an experimental study investigating the effect of graphical interface elements, including layout, colour scheme, and stylistic representation on user interaction with ergatic system interface. The authors describe the methodology used in the experiment and provide an example of the stimulus material. Results indicate vertical placement of control elements (either on the right or on left side) allows users to solve tasks more quickly. Inthe horizontal menu positioned above the control panel, eye movement paths tend to be shorter, which presumably contributes to the reduction in task completion time for participants. Colour choice does not show a significant impact in this study. Stylization effects state that iconographic symbols are processed faster than textual labels.
graphical interface, eye-tracking technology, layout, colour scheme, stylization, interface control element
1. Marchinkovskaya T.D., Golubeva N.A., Preobrazhenskaya S.V. Information Identity and Perception of Information As a New Digital Everyday Life. Vestnik of Saint Petersburg University. Psychology. 2023;13(3):347-361.
2. Paderno P.I., Nazarenko N.A. The Influence of the Interface on a Condition and Health of the Operator. Biotechosphere. 2009;6(6):45-52.
3. Novikov V.V. Fundamentals of Engineering Psychology and Ergonomics. Volgograd: VolgSTU; 2015. 144 p.
4. Maslov V.S., Rumyantsev V.G., Senova N.I., et al. Research of Distinctive Features of Visual Sensation of the External Situation by Operators Within Observation and Information Systems. Herald of the Bauman Moscow State Technical University. Series: Instrument Engineering. 2015;1(100):121-131.
5. Buryy A.S., Shevkunov M.A. Intellectualization of Decision-Making Processes in Ergatic Systems. Transport Business of Russia. 2015;4:48-50.
6. Balharet A.A.S., Paderno P.I. The Automated Estimation of the Tension of the Operator During the Activity. Biotechosphere. 2009;2(2):53-56.
7. Man-Machine Interface. Actuating Principles. Russian Standard GOST R IEC 60447-2000Moscow: Standards; 2001. 20 p.
8. Sergeev S.F. Intelligent’s Symbiotes Organized by Technogenic Environments in the Management of Mobile. Mechatronics, Automation, Control. 2013;(9):30-36.
9. Sergeev S.F. Intelligent Technosymbiosis in Complex Human-Machine Systems. Ergodesign. 2021;1(11):70-76. DOIhttps://doi.org/10.30987/2658-4026-2021-1-70-76.
10. Stepnova E.I., Kiselev S.K. Adaptive Interface of the On-board Information Control System of the Aircraft. Electrical and Data Processing Facilities and Systems. 2020;16(2):105-111. DOIhttps://doi.org/10.17122/1999-5458-2020-16-2-105-111.
11. Yanchus V.E., Heyfits A.E., Borevich E.V. Study of the Perception of Graphic Information in the Human Peripheral Vision. In: Proceedings of the International Conference on Computer Graphics and Vision “GraphiCon”: 2022, vol. 32. p. 937-946. doi:https://doi.org/10.20948/graphicon-2022-937-946
12. Gmurman V.E. Probability Theory and Mathematical Statistics. Moscow: Yurayt; 2018. 480 p.




