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All Journal Alhadharah: Jurnal Ilmu Dakwah Technologia: Jurnal Ilmiah Alhadharah: Jurnal Ilmu Dakwah Alhiwar: Jurnal Ilmu dan Teknik Dakwah Mu'adalah: Jurnal Studi Gender dan Anak International Journal of Research in Counseling
Herlita, Jumi
UIN Antasari Banjarmasin
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : International Journal of Research in Counseling

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Culturally Responsive AI: Designing Emotion Recognition Systems that Account for Diverse Non-Verbal Communication Styles. fuadi, Anwar; Nuwairah, Nahed; Rani , Samsul; Ilham, Ilham; Herlita, Jumi
International Journal of Research in Counseling Vol. 4 No. 1 (2025)
Publisher : Yayasan Minang Darussalam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70363/ijrc.v4i1.274

Abstract

Emotion recognition systems powered by artificial intelligence (AI) have rapidly gained prominence in mental health, education, and human-computer interaction. However, many existing models are built on limited, often Western-centric datasets, which overlook the rich diversity of non-verbal communication across cultures. This paper proposes a culturally responsive AI framework for designing emotion recognition systems that are inclusive of varied facial expressions, gestures, gaze behaviors, and prosodic cues observed in different cultural contexts. Using an interdisciplinary methodology that combines affective computing, cross-cultural psychology, and sociolinguistics, this study analyzes discrepancies in emotional signaling and examines how AI systems can be trained to interpret emotional data in a contextually appropriate way. Findings reveal that culturally insensitive models risk misinterpretation, leading to ethical and practical challenges in real-world applications. The paper offers design principles, ethical considerations, and implementation strategies for developing AI systems that are not only accurate but also equitable and socially aware. This work contributes to ongoing efforts in human-centered AI and highlights the importance of cultural sensitivity in next-generation affective technologies.
Co-Authors Andini, Yokke Anwar Fuadi, Anwar Fahriansyah Fahriansyah Ilham Ilham Mulyadi Mulyadi Munsyi, Munsyi Nahed Nuwairah Rahmi Yuningsih Puteri Rani , Samsul Restu Khaliq Restu Khaliq Restu Khaliq, Restu Samsul Rani, Samsul siti rahmah Syamsul Arifin Yokke Andini