International Journal For Multidisciplinary Research

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The Psychological Impact of AI Tools in Managing Information Overload: Cognitive Load, Stress Reduction, and Coping Mechanisms

Author(s) Madhobi Pramanik
Country Bangladesh
Abstract Abstract
Purpose:In contemporary era, human beings fall into the overwhelming burden of information where the very amount of information is beyond their ability to process and handle appropriately. It is a problem aggravated by the proliferation of digital contents that can leave many people mentally exhausted, overwhelmed, and stressed out. These studies were aimed at exploring the effects of AI tools on the mental load of users, their stress levels, and coping strategies in the conditions of information overload, and to indicate psychological barriers to the widespread use of such technologies.
Methodology: Mixed-methods research design was used to make a comprehensive knowledge on the effects of AI tools. The quantitative stage was the pre-test and post-tests on 200 respondents, largely professionals and students with regular use of information management tools. These questionnaires took into account cognitive load (with the help of NASA-TLX), stress levels (with the help of Perceived Stress Scale) and coping strategies (with the help of COPE Inventory). Also, the intention of the participants to use AI tools, perceived usefulness, and easy of use were measured on the basis of the Technology Acceptance Model (TAM) and perceptions of the users in the context of trust, transparency, and privacy. The qualitative part included semi-structured interviews with 30 participants, which provides a depth of understanding of the emotional reactions, experiences, and psychological impediments of AI tool usage by users. To measure the effects of AI tools on cognitive load, stress, coping behaviors, and factors that mediate/moderate their effects, paired-sample t -tests, multiple regression, and mediation/moderation models were used to analyze the data.
Findings: The results depicted that AI tools effectively reduced cognitive load and levels of stress. The post test outcomes showed a significant reduction of the cognitive load (74.5 to 58.2, p = 0.055, d = 0.48) and stress (21.3 to 16.8, p < 0.001, d = 0.87), which supported the hypothesis that AI tools can lower cognitive fatigue and the mental burden of excessive information.
Moreover, active coping style had been promoted and the avoidance coping style had been reduced by the AI tools. This hypothesizes that AI tools can decrease cognitive fatigue and also promote proactive attitude to information, that enhance decision-making efficiency. The scores of perceived usefulness, ease of use, and intention to use were high in the TAM, which implies that the participants believed that the tools were effective and easy to use.
Implications: These positive results do not negate the fact that serious psychological barriers to adoption were found. Mistrust of the AI systems, privacy issues, and fear of loss of control were the primary barriers to a wide usage. About 40% of the respondents expressed worries about the transparency and 35% were concerned about their privacy.
Limitations: The results imply that AI applications must be characterized by transparency, provide users with control over filtering mechanisms, and consider the issue of privacy to increase trust and acceptance. Cognitive bias should also be avoided in future AI systems by offering customization.
Keywords Keywords: AI tools, information overload, coping mechanisms, adoption, transparency, privacy.
Field Sociology > Data / Information / Statistics
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-09-05
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.58340
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