Enhancing Human-Computer Interaction through Artificial Emotional Intelligence

Author:

Das Sayani1ORCID,Mitra Archan2ORCID

Affiliation:

1. Institute of Mass Communication, Film, and Television Studies, India

2. Presidency University, India

Abstract

This research chapter delves into the emerging realm of artificial emotional intelligence (AEI) and its integration into human-computer interaction (HCI). As digital technologies become increasingly intertwined with daily human activities, the necessity for more intuitive and emotionally responsive interactions with computers is paramount. This study seeks to bridge this gap by exploring how AEI can be leveraged to enhance HCI, thereby improving user experience, satisfaction, and efficiency. The chapter begins with an in-depth literature review, tracing the evolution of HCI and the burgeoning field of AEI. It scrutinizes various theoretical models and empirical studies to establish a foundational understanding of AEI within the context of HCI. The research employs a mixed-method approach, incorporating case studies, user experience analyses, and, if applicable, experimental data, to offer a comprehensive view of current AEI applications in HCI. Key findings highlight the potential of AEI to revolutionize user interaction with digital interfaces, making these interactions more intuitive, empathetic, and user-friendly. The chapter also addresses critical ethical considerations, including user privacy and the psychological impacts of emotionally intelligent machines. The study concludes with a discussion on the implications of AEI in HCI, emphasizing its transformative potential across diverse sectors. Future research directions are proposed, underscoring the importance of continued exploration in this intersectional field. This paper aims to contribute significantly to the academic discourse in media, communication, and HCI, providing valuable insights for both researchers and practitioners.

Publisher

IGI Global

Reference15 articles.

1. Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications

2. CardS. K.MoranT. P.NewellA. (1983). The psychology of human-computer interaction. Lawrence Erlbaum Associates.

3. Emotion recognition in human-computer interaction

4. Dynamics of affective states during complex learning

5. Enhancing virtual assistant interactions through emotional intelligence.;J.Doe;Journal of AI and Human-Computer Interaction,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3