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  • Сравнение сгенерированных ИИ стимулов и фото: исследование зрительного поиска
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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Сравнение сгенерированных ИИ стимулов и фото: исследование зрительного поиска

Вестник Московского университета. Серия 14: Психология. 2025. Т. 48. № 2. С. 109–131.
Sapronov F., Gorbunova E. S.


Background. AI algorithms have rapidly entered everyday life in the last few years, which caused the appearance of a large number of both texts and images generated by neural networks. Nevertheless, the perception of artificially gener- ated images has not yet been studied. The relevance of the study is to observe the possibility of using artificially generated images to plan experiments in psychology of perception.

Objective. The study investigated the differences in visual search for various stimuli types: photographs and AI-generated images.

Study Participants. Thirty participants (21 females) between 18 and 43 years old (M = 21.29, SD = 5.18) took part in the study.

Methods. The study had an experimental design with two factors and two depend- ent variables. The subjects’ task was to find the target stimulus among distractors; the stimulus material included images of objects generated using a neural network and photographs. The number of objects on the screen also varied. The accuracy of the subjects’ responses and reaction time were measured.
 

Results. No differences in detection accuracy were found between photorealistic and AI-generated stimuli, nor were there any differences in reaction times. Conclusions. It was shown that the type of stimulus (AI-generated or photoreal- istic) does not affect the speed and accuracy of finding them. The perspectives of this study are related to the possibilities of using artificially generated stimuli for planning experiments in cognitive psychology.

Keywords: visual search, Artificial Intelligence, stimulus material, visual attention, visual perception

Funding. The study has been supported by the Russian Science Foundation (RSF), project No. 20-78-10055-P, title of the project “Categorization in visual perception and formation of actions”.

Research target: Psychology
Language: Russian
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Keywords: зрительный поискvisual searchстимульный материалAIstimuliСистемы искусственного интеллекта
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