Sep 2026· Вестник психофизиологии· 0 citations· 7 references
Abstract
Статья посвящена анализу феномена использования больших языковых моделей (ChatGPT и аналогов) клиентами психологической практики для решения личных и эмоциональных проблем. Рассматриваются механизмы, благодаря которым ответы искусственного интеллекта (ИИ) объективно воспроизводят базовые техники психологического консультирования: активное слушание, отражение, валидацию, психообразование. На основе данных исследований 2023-2025 годов анализируются как потенциальные возможности использования ИИ в качестве вспомогательного инструмента, так и системные риски, включая проблему конфиденциальности, "галлюцинации" моделей и отсутствие клинической ответственности. Особое внимание уделяется наиболее уязвимой категории — клиентам в кризисном и суицидальном состоянии. В контексте психофизиологических аспектов взаимодействия с цифровыми устройствами рассматриваются работы Халфиной Р.Р., посвященные закономерностям утомления и биологическим факторам адаптации к цифровой среде. Предлагаются практические рекомендации для специалистов по интеграции данного феномена в терапевтическую работу с соблюдением этических норм и принципов безопасности.
This article analyzes the use of large language models (ChatGPT and similar models) by clients in psychological practice to solve personal and emotional problems. It examines the mechanisms by which artificial intelligence (AI) responses objectively reproduce basic psychological counseling techniques: active listening, reflection, validation, and psychoeducation. Based on research data from 2023-2025, this article analyzes both the potential for using AI as an auxiliary tool and systemic risks, including privacy concerns, model "hallucinations," and lack of clinical accountability. Particular attention is paid to the most vulnerable group—clients in crisis and suicidal states. In the context of the psychophysiological aspects of interaction with digital devices, the work of R.R. Khalfina on fatigue patterns and biological factors of adaptation to the digital environment is discussed. Practical recommendations for professionals on integrating this phenomenon into therapeutic work while adhering to ethical standards and safety principles are offered.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al.· IEEE Transactions on Softwar...· 178 citations· ⚡14
Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al.· e-Informatica Software Engin...· 157 citations· ⚡17
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
The ongoing work building a Raspberry Pi cluster consisting of 300 nodes is presented, with potential use cases being an inexpensive and green test bed for cloud computing research and a robust and mobile data center for operating in adverse environments.
P. Abrahamsson, S. Helmer, Nattakarn Phaphoom et al.· IEEE International Conferenc...· 110 citations· ⚡7
The findings show that speed related agile practices are used to a greater extent in comparison to quality practices, and that software startups who adopt the Lean Startup approach do not sacrifice quality for speed more than other startups do.
Jevgenija Pantiuchina, Marco Mondini, Dron Khanna et al.· International Conference on...· 84 citations· ⚡4
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