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October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.
October 5, 2026
Africa, Youth, and Civic Dialogue: Public Diplomacy Discussed at HSE University
In late September, HSE University hosted a roundtable discussion titled Civil Society in African Countries and Youth Participation in Public Diplomacy. Representatives of non-governmental organisations from Ghana, Ethiopia, and Russia, along with students from HSE University’s Bachelor’s Programme in Public Administration, discussed how young people without official diplomatic status can influence relations between countries and how the nonprofit sector can remain sustainable amid declining grant funding.

 

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AI credibility and customer satisfaction: a neuroscience-based approach

Journal of Consumer Marketing. 2026. Vol. 43. No. 4. P. 445–458.
Zubair M., Iqbal S., Kashif M., Kosonogov V., Shestakova A.

Purpose

The purpose of this study is to compare the impact of website recommendations and artificial intelligence (AI)-based, voice-enabled recommendations on customer satisfaction with the products recommended using the event-related potential (ERP) of electroencephalograms.

Design/methodology/approach

By applying source credibility theory and using experimental designs within subject factors, the study analysed the impact of AI and website recommendations based on the “search” and “experience” product types.

Findings

The behavioural results confirmed the significant effects of both AI and website recommendations on customer satisfaction with the products recommended. The ERP results showed that for a “search” product, users demonstrated a higher emotional response (represented by the P3 amplitude) to voice-enabled AI-recommended products and a higher attentional response (represented by the P1 amplitude) to products recommended by a website. However, the influence of the “experience” product type was ineffective.

Originality/value

The results contribute to the AI credibility literature by highlighting the effectiveness of AI-powered voice assistant recommendations on customer satisfaction.

Research target: Psychology
Language: English
DOI
Text on another site
Keywords: customer satisfactionevent-related potentialAI credibilityVoice assistant recommendationsWebsite recommendations
Publication based on the results of:
Multidisciplinary study of behavior and decision-making in health population and patients using behavioral, economic, neurocognitive, neuroeconomic, neurocomputational and neural network approaches (2025)
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