Investigation of the influence of graphical interface elements on the reading of visual information
The article is devoted to the study of how users perceive interfaces designed for remote control of dynamic objects, such as drones and autonomous robots. The object of the study is the user interface of a remote dynamic object control system, and the subject is UX design tools for creating a graphical interface for such systems. The purpose of the work is to establish how color, location (top or left), type (textual or iconographic) and the presence of background (backing) of the controls affect the speed of finding the necessary information by the user in the interfaces of remote control of dynamic objects. The study used the technology of eye-tracking to objectively assess the differences in visual perception of selected interface parameters. Statistical multivariate analysis of variance (ANOVA) was used in data processing. Thirty-eight subjects participated in the experiment. The results showed that the color, location and type of controls significantly affect the speed of information retrieval. Red buttons solved the task faster than blue buttons, as did iconographic controls compared to textual controls. At the same time, it was found that all the highlighted parameters influence each other's perception. The results obtained can be used in the design of interfaces for aircraft and robotics systems, as well as for other highly loaded control environments. The novelty of the work lies in the complex analysis of interface parameters and their influence on the cognitive load of the user. The results of the study confirm that the correct choice of color, location and type of control elements increases the speed of problem solving (finding the necessary element), which is important for creating ergonomic design of interfaces of dynamic control systems.
Authors
- Viktor Edmundasovich Yanchus (ORCID: https://orcid.org/0000-0001-7220-0819)
- Ekaterina Vladislavovna Borevich (ORCID: https://orcid.org/0000-0001-6263-3901)
- Konstantin Ivanovich Zolotarev
- Tatiana Aleksandrovna Nikitina
Publication Details
- Journal
- Психология и Психотехника
- Published
- 2025-01-01
- DOI
- https://doi.org/10.7256/2454-0722.2025.1.73633
- Citations
- 1
- Primary Topic
- Technology and Human Factors in Education and Health
- Type
- article
- Field-Weighted Citation Impact
- 1.88