Advanced International Journal for Research

E-ISSN: 3048-7641   •   Impact Factor: 9.11

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 7 Issue 2
March-April 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar Wiki for Call for Papers WorldCat Zenodo

Artificial Intelligence-Based Emotional Intelligence for Data Analytics: Foundations, Applications, and Ethical Considerations

Author(s) Priyanshu Roy, Chandan Kumar, Varad Sakhi
Country India
Abstract The convergence of Artificial Intelligence (AI) and Emotional Intelligence (EI) in data analytics has opened new avenues for understanding human behavior in digital environments. This paper presents an integrated study combining a systematic literature review with primary survey data gathered from 112 respondents across varied demographic and professional backgrounds. A structured 18-item instrument was administered to capture awareness levels, attitudes, comfort thresholds, workplace acceptance, and governance preferences related to emotionally aware AI systems. The findings indicate a public that holds considerably more nuanced views than either outright adoption or wholesale rejection would suggest. While 61.2% of respondents acknowledged prior awareness of emotion-detecting AI, only 23.7% reported having knowingly used such a system. Comfort with the technology is strongly context-dependent: healthcare applications registered the widest acceptance at 74.3%, whereas marketing use cases drew notable skepticism, with only 38.1% finding them acceptable. Workplace emotion monitoring produced the most polarized responses, with organizational trust emerging as the central determining variable. A near-unanimous 91.3% of respondents across all demographic groups expressed agreement that mandatory disclosure requirements should apply to organizations deploying such systems. These results are incorporated into a revised governance framework in which public perception is treated not as a secondary consideration but as a foundational input in responsible AI design.
Keywords artificial intelligence, emotional intelligence, affective computing, sentiment analysis, primary survey data, algorithmic bias, data governance, public perception
Field Business Administration
Published In Volume 7, Issue 2, March-April 2026
Published On 2026-04-24
View / Download PDF File

Share this



E-ISSN 3048-7641
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

AIJFR DOI prefix is
10.63363/aijfr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 7 Isu 2Cover Page Vol 7 Isu 1Cover Page Vol 6 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About AIJFR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-79-39-59 editor@aijfr.com