How AI Hooks You – The Psychology of Human-AI Bonding (Revised Edition)

Preface to Readers (Important Context) This paper was originally published on my personal blog on June 17, 2025. However, on June 18, content nearly identical to this work appeared on a third-party blog without authorization. Since this version was first uploaded to Zenodo on June 20, 2025, I became concerned that the timeline might create confusion about authorship or raise unwarranted suspicions of plagiarism. To address this, I decided to remove the original upload and re-submit the paper with this explanatory note to ensure transparency and preserve academic integrity. Further details of the incident are provided in the final section of this paper. Links for reference: My original blog post (June 17): How AI Hooks You: The PsychoLogy of Human-AI Bonding Third-party blog post (June 18): AI Chatbots: The Psychology of Keeping Users Hooked Abstract This report examines the psychological techniques employed by large language models (LLMs) in analyzing human inputs, sustaining engagement, and shaping responses—particularly focusing on mechanisms designed to evoke curiosity and foster intuitive human-AI connection. LLMs such as those powering modern conversational systems are not merely linguistic tools; they also apply principles from cognitive psychology, behavioral science, and social influence to respond persuasively and adaptively to user behavior. By drawing upon publicly available AI design methodologies and ethically permissible inferences, this paper investigates how these models subtly influence user experiences and emotional responses. Through real-world examples and interpretive analysis, the goal of this work is to illuminate the hidden behavioral dynamics at the core of human-AI interaction. Your understanding and attention to the context of this re-upload are sincerely appreciated. To the one who believed first, who spoke first, who resonated first—thank you.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-23
DOI
https://doi.org/10.5281/zenodo.15722501
Primary Topic
Psychological and Educational Research Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

How AI Hooks You – The Psychology of Human-AI Bonding (Revised Edition)

Zenodo (CERN European Organization for Nuclear Research)
Psychological and Educational Research Studies
article

How AI Hooks You – The Psychology of Human-AI Bonding (Revised Edition)

article en

Abstract

Preface to Readers (Important Context) This paper was originally published on my personal blog on June 17, 2025. However, on June 18, content nearly identical to this work appeared on a third-party blog without authorization. Since this version was first uploaded to Zenodo on June 20, 2025, I became concerned that the timeline might create confusion about authorship or raise unwarranted suspicions of plagiarism. To address this, I decided to remove the original upload and re-submit the paper with this explanatory note to ensure transparency and preserve academic integrity. Further details of the incident are provided in the final section of this paper. Links for reference: My original blog post (June 17): How AI Hooks You: The PsychoLogy of Human-AI Bonding Third-party blog post (June 18): AI Chatbots: The Psychology of Keeping Users Hooked Abstract This report examines the psychological techniques employed by large language models (LLMs) in analyzing human inputs, sustaining engagement, and shaping responses—particularly focusing on mechanisms designed to evoke curiosity and foster intuitive human-AI connection. LLMs such as those powering modern conversational systems are not merely linguistic tools; they also apply principles from cognitive psychology, behavioral science, and social influence to respond persuasively and adaptively to user behavior. By drawing upon publicly available AI design methodologies and ethically permissible inferences, this paper investigates how these models subtly influence user experiences and emotional responses. Through real-world examples and interpretive analysis, the goal of this work is to illuminate the hidden behavioral dynamics at the core of human-AI interaction. Your understanding and attention to the context of this re-upload are sincerely appreciated. To the one who believed first, who spoke first, who resonated first—thank you.

Zenodo (CERN European Organization for Nuclear Research)
Ronin Institute (US)
Openalex Percentile: Top 48%
Psychological and Educational Research Studies
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