Emotional Intelligence in Voice Assistants : Advancing Human-AI Interaction

This article explores the integration of emotional intelligence (EI) into AI voice assistants, examining techniques for emotion recognition from speech, adaptive response generation, and the impact on user experience. It discusses key components including acoustic feature analysis, machine learning approaches, and multimodal systems for emotion detection. The article also addresses ethical considerations such as privacy concerns, potential manipulation, and technical challenges in achieving robust, real-time, and culturally-adaptive EI systems. Applications in mental health support and customer service are examined, highlighting both the potential benefits and necessary precautions. Through a comprehensive review of recent research, this work aims to contribute to the responsible development of emotionally intelligent AI voice assistants that enhance human-AI interaction while prioritizing user well-being.

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Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2024-10-10
DOI
https://doi.org/10.32628/cseit241051039
Citations
2
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.69
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article

Emotional Intelligence in Voice Assistants : Advancing Human-AI Interaction

Ankur Binwal
2 citations
International Journal of Scientific Research in Computer Science Engineering and Information Technology
AI in Service Interactions
0.69
article

Emotional Intelligence in Voice Assistants : Advancing Human-AI Interaction

Ankur Binwal
article en
2 citations

Abstract

This article explores the integration of emotional intelligence (EI) into AI voice assistants, examining techniques for emotion recognition from speech, adaptive response generation, and the impact on user experience. It discusses key components including acoustic feature analysis, machine learning approaches, and multimodal systems for emotion detection. The article also addresses ethical considerations such as privacy concerns, potential manipulation, and technical challenges in achieving robust, real-time, and culturally-adaptive EI systems. Applications in mental health support and customer service are examined, highlighting both the potential benefits and necessary precautions. Through a comprehensive review of recent research, this work aims to contribute to the responsible development of emotionally intelligent AI voice assistants that enhance human-AI interaction while prioritizing user well-being.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 10(5)
Indiana University (US)
Openalex Percentile: Top 24%
AI in Service Interactions
0.69
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Emotional Intelligence in Voice Assistants : Advancing Human-AI Interaction — Ankur Binwal · International Journal of Scientific Research in Computer Science Engineering and Information Technology (2024) | TGRS Research Map | TGRS