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October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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Сравнение точности распознавания эмоций другого человека при текстовой онлайн-коммуникации в мессенджере и наблюдении за офлайн-поведением

Новые психологические исследования. 2026. № 3. С. 95–114.
Сысоева И. А., Sysoeva T.

Currently, instant text messaging is widespread and often replaces regular offline communication. At the same time, such an important component of interaction as understanding the emotions of the interlocutor in online text communication may be difficult because of the lack of nonverbal emotional cues (facial expressions, gestures, etc.). Although it is generally believed that emotional exchange is possible in online communication, the comparison of emotion recognition accuracy in the two described situations is almost not studied.

The aim of this study is to compare the emotion recognition accuracy in a situation of online text messaging and during observation of offline behavior.

Forty-four participants aged 18-50 years (M=21, SD=5.88), 40 women and 4 men, took part in the study. To assess the emotion recognition accuracy in online communication the following procedure was used. Each participant had about 15 minutes long conversation using instant text messaging with one of the others. After this she assessed the partners’ and her own emotions. A video test by Ovsyannikova and Lyusin (2013) was used to assess the offline emotion recognition accuracy.

No statistically significant differences were found for the accuracy and sensitivity indexes between the two situations studied. There was also no correlation between the accuracy and sensitivity indexes in online communication and offline observation.

Contrary to assumptions, the emotion recognition accuracy in general does not decrease as a result of the lack of standard nonverbal emotional cues. Probably, the specific online text communication emotional cues are sufficient to recognize the emotions of the opponent. The lack of correlations between the emotion recognition accuracy in the two situations is interpreted as evidence of the heterogeneity of the emotion recognition ability and the need for a separate study and consideration of its various aspects.

Research target: Psychology
Language: Russian
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Keywords: распознавание эмоцийemotion recognitionnonverbal emotional cuesневербальные признаки эмоцийaccuracy of other’s emotion recognitiononline text-based messagingточность распознавания эмоций другоготекстовая онлайн-коммуникация
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