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HCI-Driven Emotion-Adaptive UIs for Cognitive Efficiency: Real-Time Adaptation to Fatigue, Focus, and Emotional Expression

 

Authors:

Subhasis Kundu
Solution Architecture & Design
Roswell, GA, USA
subhasis.kundu10000@gmail.com

Abstract — This study explores the creation of emotion-responsive user interfaces (UIs) that adapt to users' mental states in stressful settings in real time. Utilizing human-computer interaction (HCI) principles and artificial intelligence, it introduces an innovative framework for UIs that adjusts based on fatigue, concentration, and emotional cues. The method incorporates sophisticated facial recognition, eye tracking, and physiological sensors to continuously evaluate users' cognitive and emotional conditions. The adaptive UI system uses machine learning algorithms to optimize cognitive load and improve remote interactions in various high-pressure situations. Through a series of experiments and user studies, notable enhancements in task performance, user satisfaction, and overall cognitive efficiency have been demonstrated. The results underscore the potential of emotion-responsive UIs to transform human-computer interaction, particularly in areas such as healthcare, emergency response, and mission-critical operations.

Keywords — HCI, Emotion-Adaptive UI, Cognitive Efficiency, Real-Time Adaptation, Fatigue, Focus, Emotional Expression, Artificial Intelligence, Machine Learning, User Interface, High-Stress Environments, Remote Interaction.