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人工智能的认知成本:人工智能焦虑与态度如何影响日常技术使用中的决策疲劳

The Cognitive Cost of AI: How AI Anxiety and Attitudes Influence Decision Fatigue in Daily Technology Use.

作者信息

Verma Nidhi, Dev Kapil, Bhardwaj Aradhana Balodi, Kumar Krishan

机构信息

Amity University of Behavioral and Allied Sciences (AIBAS), Amity University Gurugram (Manesar), Haryana, India.

Department of Education, CRSU Jind, Haryana, India.

出版信息

Ann Neurosci. 2025 Aug 20:09727531251359872. doi: 10.1177/09727531251359872.

Abstract

BACKGROUND

Artificial intelligence (AI) is increasingly shaping daily decision-making by enhancing efficiency and consistency. However, prolonged AI use may impose cognitive strain, attention depletion, information overload, and decision fatigue.

AIM

To investigate the relationships among AI anxiety, attitudes toward AI, cognitive performance, trust in AI, and decision fatigue, particularly emphasising long-term AI interaction.

METHODS

A structured survey was administered both online and offline to a sample of 500 adults (290 males, 210 females) in the Delhi-NCR region, with a mean age of 24.2 ± 3.4 years. The survey assessed participant's AI anxiety, AI attitude, cognitive skills, decision fatigue, and trust (encompassing reliability, productivity, and user control). Descriptive statistics and Pearson correlation analyses were conducted to explore the relationships between these variables.

RESULT

Participants reported moderately high AI anxiety (mean = 4.62, SD = 1.14) and generally positive attitudes toward AI (mean = 5.01, SD = 1.06). A strong but marginally non-significant correlation ( = 0.81, = .053) was found between favourable attitudes and technology usage frequency. High trust in AI-measured via reliability ( = 0.597), productivity ( = 0.985), and control ( = 0.829)-correlated with prior positive AI experience. Long-term AI use was significantly associated with mental exhaustion, attention strain, and information overload ( = 0.905), and inversely associated with decision-making self-confidence ( = -0.360).

CONCLUSION

The integration of AI in task performance resulted in improved efficiency and user confidence; however, prolonged utilisation may precipitate cognitive fatigue, diminished focus, and attenuated user agency. To mitigate these adverse effects, strategic design approaches prioritising user empowerment, transparency, and cognitive facilitation are essential for maximising benefits while upholding mental health and well-being.

摘要

背景

人工智能(AI)正通过提高效率和一致性,日益塑造着日常决策。然而,长期使用人工智能可能会造成认知压力、注意力耗竭、信息过载和决策疲劳。

目的

研究人工智能焦虑、对人工智能的态度、认知表现、对人工智能的信任和决策疲劳之间的关系,特别强调长期的人工智能交互。

方法

对德里 - 国家首都辖区地区的500名成年人(290名男性,210名女性)样本进行了线上和线下的结构化调查,平均年龄为24.2±3.4岁。该调查评估了参与者的人工智能焦虑、对人工智能的态度、认知技能、决策疲劳和信任(包括可靠性、生产力和用户控制)。进行描述性统计和Pearson相关分析以探索这些变量之间的关系。

结果

参与者报告了中等偏高的人工智能焦虑(均值 = 4.62,标准差 = 1.14),并且对人工智能总体持积极态度(均值 = 5.01,标准差 = 1.06)。在积极态度与技术使用频率之间发现了强但略微不显著的相关性(r = 0.81,p = 0.053)。通过可靠性(r = 0.597)、生产力(r = 0.985)和控制(r = 0.829)衡量的对人工智能的高度信任与先前积极的人工智能体验相关。长期使用人工智能与精神疲惫、注意力紧张和信息过载显著相关(r = 0.905),并且与决策自信心呈负相关(r = -0.360)。

结论

在任务执行中整合人工智能提高了效率和用户信心;然而,长期使用可能会导致认知疲劳、注意力下降和用户能动性减弱。为了减轻这些不利影响,优先考虑用户赋权、透明度和认知促进的战略设计方法对于在维护心理健康和幸福的同时最大化益处至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2358/12367725/1b1f2c39f2d6/10.1177_09727531251359872-fig1.jpg

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