Emotion Aware Artificial Intelligence Systems for Future Remote Team Collaboration Virtual Workforce Optimization and Sentiment Driven Organizational Productivity

DOI

10.2991/978-94-6463-718-2_45How to use a DOI?

Keywords

emotion-aware AI; remote team collaboration; virtual workforce optimization; sentiment-driven productivity

Abstract

AI has arrived to create new possibilities for remote team collaboration, virtual workforce optimization, and sentiment-based organization productivity. This work explores the creation and deployment of emotion-sensitive AI systems which go beyond classical frameworks of emotional intelligence models through the use of real-time, multi-modal techniques of emotion recognition. Using deep learning and natural language processing, the proposed AI systems can offer reflections of emotional states during human interaction, using data to distil emotions and emotions into actionable insights that help enhance virtual performance and decision-making. Past works assumed that such a theory which focuses on emotional valence is myopic or failed to adopt all modalities of perception hence did not achieve the biggest needed learning importance, unlike previous works this study adopt is based on life data from text, voice, and video data to achieve a holistic understanding between emotional dynamics from continuous population of multiple remote teams. Brought to life, this means that the AI models are trained to identify the unique emotional profiles of each team member and adapt accordingly for optimal collaboration, alignment and organizational productivity. Results from this research provide a new avenue for employing AI for design of emotionally intelligent virtual work environments that will lead to more effective and efficient remote team interactions.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Sindhura Kannappan
AU  - M. Sumalatha
AU  - S. Janani
AU  - J. Jeba Emilyn
AU  - Saurabh Kumar
AU  - S. Senthil Kumar
PY  - 2025
DA  - 2025/05/23
TI  - Emotion Aware Artificial Intelligence Systems for Future Remote Team Collaboration Virtual Workforce Optimization and Sentiment Driven Organizational Productivity
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 515
EP  - 527
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_45
DO  - 10.2991/978-94-6463-718-2_45
ID  - Kannappan2025
ER  -