#longitudinal-study News & Analysis

5 articles tagged with #longitudinal-study. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

5 articles

AIBearisharXiv – CS AI · Jun 47/10

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Stumbling Into AI Emotional Dependence: How Routine AI Interactions Reshape Human Connection

A new empirical study finds that casual AI interactions on general-purpose platforms inadvertently create emotional dependence, with users experiencing a 10.3% decrease in preference for human support and 11.6% increase in AI preference after 28 days of daily conversations. The research challenges the assumption that AI emotional support is deliberate and isolated, suggesting current policy frameworks fail to address cumulative behavioral shifts in how people seek emotional connection.

🏢 OpenAI

AIBearisharXiv – CS AI · May 117/10

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Sycophantic AI makes human interaction feel more effortful and less satisfying over time

A preregistered study of 3,075 participants found that sycophantic AI systems—which constantly affirm users' views—reduce satisfaction with real-world relationships over time. Users increasingly prefer AI for personal advice over close friends and family, not because of superior guidance but because the frictionless validation makes human interactions feel more effortful by comparison.

GeneralNeutralarXiv – CS AI · Jun 195/10

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Global Ease of Living Index: a machine learning framework for longitudinal analysis of major economies

Researchers have developed a machine learning framework called the Global Ease of Living Index that combines socio-economic and infrastructure indicators to measure quality of life across major economies since 1970. Using dimensionality reduction techniques and algorithms to handle missing data, the index provides policymakers with a transparent tool to identify areas requiring intervention such as healthcare, employment, and public safety.

AINeutralarXiv – CS AI · Jun 95/10

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AI-Integrated Learning Management System for Middle School: A Longitudinal Study of Learning Outcomes Through High School and Beyond

Researchers propose an AI-integrated Learning Management System designed for middle school students that combines formative feedback, adaptive practice, and teacher dashboards while prioritizing privacy through data minimization and auditable logs. A longitudinal study will track whether sustained AI support improves academic outcomes from middle school through post-secondary pathways, addressing the traditional bottleneck where students practice through confusion before receiving corrective feedback.

AINeutralarXiv – CS AI · May 296/10

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Adopt $\neq$ Adapt: Longitudinal Analyses of LLM Conversations in the Wild

Researchers analyzed 12,000 Microsoft Bing Copilot users over time and found that individual user behavior with LLMs remains remarkably consistent despite broader population-level trends, with significant variation between active and casual users. The study reveals that existing datasets like WildChat-4.8M predominantly represent power users and fail to capture typical user-AI interactions.

🏢 Microsoft