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Paper

A Systematic Review on Fostering Appropriate Trust in Human-AI Interaction: Trends, Opportunities and Challenges

by Independent / Community 0072959e028aadf81e55353d3be7bd4f95e447e4

Free2AITools Nexus Index

69.9

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 86

P: Popularity 63

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

Appropriate trust in Artificial Intelligence (AI) systems has rapidly become an important area of focus for both researchers and practitioners. Various approaches have been used to achieve it, such as confidence scores, explanations, trustworthiness cues, and uncertainty communication. However, a comprehensive understanding of the field is lacking due to the diversity of perspectives arising from various backgrounds that influence it and the lack of a single definition for appropriate trust. ...

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Semantic Scholar 94 Citations

Paper Information Summary
Entity Passport
Registry ID	0072959e028aadf81e55353d3be7bd4f95e447e4
License	ArXiv
Provider	semantic_scholar

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Cite this paper

Academic & Research Attribution

BibTeX

@misc{0072959e028aadf81e55353d3be7bd4f95e447e4,
  author = {Unknown},
  title = {A Systematic Review on Fostering Appropriate Trust in Human-AI Interaction: Trends, Opportunities and Challenges Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/0072959e028aadf81e55353d3be7bd4f95e447e4}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). A Systematic Review on Fostering Appropriate Trust in Human-AI Interaction: Trends, Opportunities and Challenges [Paper]. Free2AITools. https://api.semanticscholar.org/0072959e028aadf81e55353d3be7bd4f95e447e4

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⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 86

Popularity (P) 63

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for A Systematic Review on Fostering Appropriate Trust in Human-AI Interaction: Trends, Opportunities and Challenges: Authority (A:86), Popularity (P:63), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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📝 Executive Summary

"Appropriate trust in Artificial Intelligence (AI) systems has rapidly become an important area of focus for both researchers and practitioners. Various approaches have been used to achieve it, such as confidence scores, explanations, trustworthiness cues, and uncertainty communication. However, a comprehensive understanding of the field is lacking due to the diversity of perspectives arising from various backgrounds that influence it and the lack of a single definition for appropriate trust. ..."

❝ Cite Node

@article{Unknown2026A,
  title={A Systematic Review on Fostering Appropriate Trust in Human-AI Interaction: Trends, Opportunities and Challenges},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

🔗 Full Paper

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📊 Research Signals

📈94CitationsSemantic Scholar

🏛️86AuthorityFNI 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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source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
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forks: null
citations: 94

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