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Paper

Selective Trust: Understanding Human-AI Partnerships in Personal Health Decision-Making Process

by Independent / Community 00602b007d8a0c83d622bd79b6ce3cfe4e2c8194

Free2AITools Nexus Index

66.7

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 79

P: Popularity 54

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

As artificial intelligence (AI) becomes more embedded in personal health technology, its potential to transform health decision-making through personalised recommendations is becoming significant. However, there is limited understanding of how individuals perceive AI-assisted decision-making in the context of personal health. This study investigates the impact of AI-assisted decision-making on trust in physical activity-related health decisions. By employing MoveAI, a GPT-4.0-based physical a...

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Semantic Scholar 16 Citations

Paper Information Summary
Entity Passport
Registry ID	00602b007d8a0c83d622bd79b6ce3cfe4e2c8194
License	ArXiv
Provider	semantic_scholar

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Cite this paper

Academic & Research Attribution

BibTeX

@misc{00602b007d8a0c83d622bd79b6ce3cfe4e2c8194,
  author = {Unknown},
  title = {Selective Trust: Understanding Human-AI Partnerships in Personal Health Decision-Making Process Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/00602b007d8a0c83d622bd79b6ce3cfe4e2c8194}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). Selective Trust: Understanding Human-AI Partnerships in Personal Health Decision-Making Process [Paper]. Free2AITools. https://api.semanticscholar.org/00602b007d8a0c83d622bd79b6ce3cfe4e2c8194

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 79

Popularity (P) 54

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Selective Trust: Understanding Human-AI Partnerships in Personal Health Decision-Making Process: Authority (A:79), Popularity (P:54), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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📝 Executive Summary

"As artificial intelligence (AI) becomes more embedded in personal health technology, its potential to transform health decision-making through personalised recommendations is becoming significant. However, there is limited understanding of how individuals perceive AI-assisted decision-making in the context of personal health. This study investigates the impact of AI-assisted decision-making on trust in physical activity-related health decisions. By employing MoveAI, a GPT-4.0-based physical a..."

❝ Cite Node

@article{Unknown2026Selective,
  title={Selective Trust: Understanding Human-AI Partnerships in Personal Health Decision-Making Process},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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📊 Research Signals

📈16CitationsSemantic Scholar

🏛️79AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

🗂️automation workflowField

📦Data Source: semantic_scholar

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Source summary: Based on semantic_scholar metadata. Not a recommendation.

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🆔 Identity & Source

source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag

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downloads: 0
stars: null
forks: null
citations: 16

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