Multimodal Sentimental Analysis For Real-Time Monitoring of Work Stress Levels

Stress at work is a widespread issue that affects both employee well-being and organizational productivity. Conventional techniques for evaluating stress frequently depend on subjective self-reporting, which provides little information on changes in stress levels in real-time. As a result, the incorporation of multimodal sentiment analysis has become a viable strategy for the ongoing, impartial tracking of stress at work. This survey study offers a thorough overview and comparison of previous studies on multimodal sentiment analysis for measuring job stress in real time. This literature review delves into the elements of multimodal sentiment analysis, comparing and contrasting it with conventional stress assessment techniques and scrutinizes the many methodologies utilized in recent research.An in-depth examination of the techniques and performance measures used in these studies provides valuable information on the advantages and disadvantages of various strategies. Research future directions are discussed in light of identified obstacles, such as sample size restrictions and applicability in varied work situations. The study closes with a summary of the most important discoveries, a discussion of the practical ramifications, and suggestions for furthering the topic. This comparative assessment paves the way for future research in this crucial area while also deepening our grasp of the state-of-the-art in multimodal sentiment analysis for real-time job stress monitoring.