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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
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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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The influence of happiness and anxiety on emotional Stroop effect

Психологические исследования: электронный научный журнал. 2023. Vol. 16. No. 92. Article 3.
Martynova E. N., Lyusin D.

The emotional Stroop effect is defined as a delay in reaction time or an increase in error rate while naming the color of emotional words compared to neutral words. The aim of this study was to examine how happiness and anxiety influence the emotional Stroop effect. According to the principle of emotion congruence, information processing is facilitated when its emotional valence matches the individual's mood. In the context of the emotional Stroop task, this implies that emotionally congruent words should be processed more easily, leading to a reduction or even elimination of the emotional Stroop effect. Conversely, processing incongruent stimuli should be more challengingand the impact of word meaning on color naming should be more pronounced. Based on these considerations, the hypothesis was proposed that emotional Stroop effect would be stronger when using stimuli incongruent with the participant's emotional state. We administered the emotional Stroop task with neutral, happy, and threatening words, musicfor mood induction, and the EmoS-15 questionnaire to assess mood induction effectiveness. The hypothesis was partially confirmed, as the emotional Stroop effect, assessed by error rates, was greater for stimuli incongruent with the emotional state

Research target: Psychology
Language: English
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Keywords: тревогаanxietyрадостьhappinessemotional Stroop effectиндукция эмоцийэмоциональный эффект Струпаmood inductionэмоциональная конгруэнтностьemotion congruence
Publication based on the results of:
The role of cognitive and affective factors in cognitive task performance (2023)
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