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Почему нейросети иногда мешают нам меняться? Феномен ИИ-потакания как искусственная забота: разработка и психометрическая проверка Шкалы идиотского сочувствия
Экология человека. 2026.
In press
The rapid proliferation of generative neural networks, increasingly used for emotional support and personal advice, raises the problem of algorithmic indulgence – the systematic avoidance of confrontation by neural networks, the substitution of constructive feedback with consolation, and the prioritization of the user's immediate comfort over their long-term development. This phenomenon, rooted in the Buddhist concept of "idiot compassion", acquires new risks in the context of AI interaction, associated with the "compassion illusion". The aim of the study was to develop and psychometrically validate the Idiot Compassion Scale (ICS) – a tool for measuring users' perception of AI-indulgence patterns in neural networks. A sample of 522 respondents (mean age 39.0 years, 55.9% female) underwent factor analysis, reliability assessment, and correlation analysis. Factor analysis (principal component analysis with Varimax rotation) revealed a two-factor structure: "Avoidance of Confrontation and Indulgence" (α = 0.812) and "Prioritize Emotional Comfort over Honesty" (α = 0.764). Significant positive correlations were found between both subscales and medical mistrust, intolerance of uncertainty, and satisfaction with AI use, as well as negative correlations with frequency of AI use and age. The ICS can be used to assess the risks of emotional dependence on AI in vulnerable groups of users (with high levels of intolerance of uncertainty, avoidant attachment style, medical mistrust), as well as for empirical evaluation of the quality of user interaction with neural networks in research and clinical contexts.
Language:
Russian
Keywords: neural networksпсихометрическая проверканейросетиразработка шкалыScale development artificial intelligencePsychometric validation искусственный интеллектidiot compassionAI-indulgenceavoidance of confrontationemotional comfortидиотское сочувствиеИИ-потаканиеизбегание конфронтацииэмоциональный комфорт
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CEUR-WS.org, 2026.
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Psychological characteristic estimation from multimodal in-the-wild behavior is usually studied using separate corpora, each annotated for a single target task. Such annotation fragmentation limits cross-task learning and cross-domain generalization across affective, dispositional, and interactional phenomena. To address this problem, we use emotion, apparent personality trait, and ambivalence recognition as representative tasks and introduce MM-PSYCHE, a ...
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Association for Computational Linguistics, 2026.
19th Conference of the European Chapter of the Association for Computational Linguistics, Workshop on Linguistic Analysis for Health (2026) ...
Added: August 19, 2026
Vlasenko D., Saranskaia I., Zakharov D., European Physical Journal: Special Topics 2026 P. 1–16
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Moshkin A., Fedorov M., Arlazarov V. et al., Algorithms 2026 Vol. 19 No. 7 Article 523
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Diachkova M., Lelik V., Dorofeeva S. et al., Language Resources and Evaluation 2026 Vol. 60 Article 68
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Added: August 17, 2026
CHEN Y., Howlett R. J., Tanaka S. et al., Springer, 2026.
The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible ...
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Khorunzheva K., Postnikov E., Zakharov D., Chaos, Solitons and Fractals 2026 Vol. 212 No. 2 P. 1–12
Identification of coherent states of spiking neural networks is a fundamental problem of
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Yu Z., Wang J., Wang Z. et al., Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2026 Vol. 384 P. 1–16
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Added: August 13, 2026
Cham: Springer, 2026.
This book constitutes the proceedings of the 10th International Workshop Empowering Novel Geometric Algebra for Graphics and Engineering, ENGAGE 2025, held in conjunction with Computer Graphics International conference, CGI 2025, in Hong Kong, China, on July 14, 2025.
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Added: August 13, 2026
Ratnikov F., European Physical Journal: Special Topics 2026 P. 1–10
EEG recordings are often affected by the loss or corruption of individual channels due to electrode detachment, poor scalp contact, or external interference. Such channels must be accurately reconstructed before further analysis. In this study, we investigate Next-Generation Reservoir Computing (NG-RC) as a data-driven approach for reconstructing corrupted EEG channels and compare its performance with ...
Added: August 12, 2026
Minets M., Krasnozhenov G., Trofimova E. et al., PeerJ Computer Science 2026 Vol. 12 Article e4063
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Added: August 12, 2026
Мизинов П. В., Journal of Computer Virology and Hacking Techniques 2023 No. 20 P. 383–396
Biometric vein recognition systems are vulnerable to presentation attacks. Traditionally, researchers have used a near-infrared (NIR) drawing of the user’s vascular bed to create a presentation attack instrument (PAI). This paper investigates the feasibility of using free software to capture a venous pattern of the hand without NIR under normal lighting conditions and to create ...
Added: August 11, 2026
Shartova N., Mironova E., Geo Journal 2026 Vol. 91 P. 1–17
The historical timeline of urban development profoundly shapes the contemporary form and functionality of cities. Traditionally, cities were planned with limited consideration for the promotion of a healthy urban environment. Using Nizhny Novgorod, Russia, a city that has evolved from a medieval market town to an industrial centre and later into a multifunctional city with ...
Added: August 9, 2026
Trubochkina N. K., М.: Издательство «Юрайт», 2026.
This textbook is designed to develop students' holistic understanding of modern production processes and methods for their analysis and management using machine learning technologies. In the context of the fourth industrial revolution, where traditional engineering disciplines are inextricably intertwined with intelligent data processing methods, there is a growing need for specialists capable of integrating knowledge ...
Added: August 8, 2026
Vasilieva E., Bultseva M. A., Trifonova A., Current Psychology 2026 Vol. 45 Article 1320
The current exploratory study aims to reveal identity gaps and interpersonal communication strategies used by Russians to overcome social identity crises. Based on previous research, we assume that many Russians who live both in Russia and abroad face ethnic and national identity threats and experience different social identity crises due to recent geopolitical events. This ...
Added: August 6, 2026
Zagranichny A., Koroleva D., Дашкина И. Р., , in: GenAIED: Cultural and Pedagogical Catalysts in Higher Education.: L.: Routledge, 2026. Ch. 12.
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Added: August 6, 2026
Ulgen H., Journal of International Students 2026 Vol. 16 No. 17 P. 283–312
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Added: August 5, 2026
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Kanaev E., Southeast Asia: Actual Problems of Development 2026 Vol. 2 No. 2(71) P. 11–22
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Added: July 15, 2026
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Added: July 14, 2026
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Added: July 5, 2026