πŸ“„
Artificial intelligence video interviewing for employment: perspectives from applicants, companies, developer and academicians paper by Independent / Community
⭐ 69.4
πŸ“„
Paper

Artificial intelligence video interviewing for employment: perspectives from applicants, companies, developer and academicians

by Independent / Community 00655a5af5465b21922d2687bbd39da39d86c273
Free2AITools Nexus Index
69.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 85
P: Popularity 61
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance —

PurposeIn 2018, an artificial intelligence (AI) interview platform was introduced and adopted by companies in Korea. This study aims to explore the perspectives of applicants who have experienced an AI-based interview through this platform and examines the opinions of companies, a platform developer and academia.Design/methodology/approachThis study uses a phenomenological approach. The participants, who had recent experience of AI video interviews, were recruited offline and online. Eighteen...

Source β†’
Semantic Scholar 68 Citations
Paper Information Summary
Entity Passport
Registry ID 00655a5af5465b21922d2687bbd39da39d86c273
License ArXiv
Provider semantic_scholar
πŸ“œ

Cite this paper

Academic & Research Attribution

BibTeX 
@misc{00655a5af5465b21922d2687bbd39da39d86c273,
  author = {Unknown},
  title = {Artificial intelligence video interviewing for employment: perspectives from applicants, companies, developer and academicians Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/00655a5af5465b21922d2687bbd39da39d86c273}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). Artificial intelligence video interviewing for employment: perspectives from applicants, companies, developer and academicians [Paper]. Free2AITools. https://api.semanticscholar.org/00655a5af5465b21922d2687bbd39da39d86c273

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 85
Popularity (P) 61
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Artificial intelligence video interviewing for employment: perspectives from applicants, companies, developer and academicians: Authority (A:85), Popularity (P:61), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data

πŸ“ Executive Summary

"PurposeIn 2018, an artificial intelligence (AI) interview platform was introduced and adopted by companies in Korea. This study aims to explore the perspectives of applicants who have experienced an AI-based interview through this platform and examines the opinions of companies, a platform developer and academia.Design/methodology/approachThis study uses a phenomenological approach. The participants, who had recent experience of AI video interviews, were recruited offline and online. Eighteen..."

❝ Cite Node 

@article{Unknown2026Artificial,
  title={Artificial intelligence video interviewing for employment: perspectives from applicants, companies, developer and academicians},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

πŸ”— Full Paper

Free2AITools indexes the abstract and factual metadata for this paper. Read the complete, authoritative paper on the official source.

Read the full paper on arXiv

πŸ“Š Research Signals

πŸ“ˆ68CitationsSemantic Scholar
πŸ›οΈ85AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
πŸ—‚οΈtext generationField
πŸ“¦Data Source: semantic_scholar
πŸ”„ Updated daily

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

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Paper Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

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

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

πŸ“Š Engagement & Metrics

downloads
0
stars
null
forks
null
citations
68

Data indexed from public sources. Updated daily.