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July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.
July 8, 2026
HSE Researchers Discover Who Eats Out in Russia-And Why
Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
July 8, 2026
HSE University and RREDA Join Forces to Support 2026 Renewable Energy of the Planet Competition
HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.

 

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Cognitive load measurement during navigation and information retrieval in digital text

Procedia Computer Science. 2021. Vol. 192. P. 2720–2730.
Ledneva T., Kovalev A.

Interaction with digital text permeates practically all types of educational, professional and leisure activities of modern life. The effective working with digital instructions and materials determines the success in solving a number of real problems. At the same time, the negative impact of overly complex digital environments on learning outcomes, work efficiency, and subjective well-being has been proven in numerous empirical studies. In this work, an attempt is made to study the navigational characteristics of a digital text that are significant for solving practical problems from the standpoint of the Cognitive Load Theory. A total of 20 subjects (13F; 7M) took part in the experiment with intra-individual plan and 2x2 factorial design. Information retrieval was considered as a task, and the navigation characteristics of the text were varied under controlled experimental conditions in order to determine the optimal combination of navigational cues. Digital text environments with different navigation characteristics were designed. The indicators of oculomotor activity and performance data were analysed to determine the conditions causing the greatest excess cognitive load. A computational approach was applied to assess the relative effectiveness of conditions. It was found that information search in digital environments with less navigational cues provoke increase in scan-path complexity, searching time and number of fixations. These observations support the general hypothesis of this study, according to which a lack of navigation cues affect directly on the cognitive load growth during information search in digital texts.

Research target: Psychology Computer Science
Language: English
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Keywords: информационный поискinformation searchcognitive loadeye trackingайтрекингкогнитивная нагрузкаdigital text
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