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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
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Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Psychological Aspects of Face-To-Face Versus Computer-Mediated Interpersonal Communication: An Integrative Review

P. 29–48.
Elina Tsigeman, Larisa Mararitsa, Olga Gundelah, Lopatina O., Olessia Koltsova

omputer mediated (CM) communication has become pervasive in everyday lives of people in many societies, especially during and after the COVID pandemics, which has had profound effects on different aspects of human activity, including communication itself. As a response to this, empirical research comparing CM and face-to-face (FtF) communication has been steadily growing. To ensure a comprehensive understanding of the major trends in this body of literature, it is crucial to identify the main research topics emerging in this domain, and explore theoretical frameworks and methodological approaches employed in the respective studies. In this review, we examine 51 empirical studies conducted between 2010 and early 2023, that compare the effects of FtF and CM formats of communication on its psychological aspects.

We identify eight aspects of interpersonal communication, such as Synchronisation, Disclosure, and Interaction satisfaction, that are most often investigated in the existing research, while certain important aspects stay understudied. Four major theoretical frameworks prevail in the studies of these eight aspects: Social information processing theory, Hyperpersonal model of communication, Media richness theory, and Social presence theory. Further, our analysis reveals several methodological challenges, including the varying degree of measurement uniformity between subdomains devoted to different aspects. Paradoxically, we find this degree unrelated to the consistency of the results. Drawing on these findings, we suggest potential avenues for future research that can enhance our understanding of the impact of technology on human communication.

Language: English
DOI
Text on another site
Keywords: computer-mediated communicationvideoconferencingVirtual meetings Interpersonal communicationFace-to-Face communication
Publication based on the results of:
Воспринимаемое качество общения в реальных и компьютерно-опосредованных встречах и его объективные измерения на примере окситоцина и мимических маркеров (2024)

In book

Social Computing and Social Media.16th International Conference, SCSM 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29–July 4, 2024, Proceedings, Part III
Vol. 14705. , Springer, 2024.
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