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International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
             are dynamic and require multitasking.” Customer satisfaction increased significantly with feedback on ease of use, intuitive
             interaction, and tremendous workload fitting. The system increased task efficiency  by X% on low-workload states while, on
             average, decreasing user stress during busy time stamps by X% to balance user comfort, performance optimization in time-
             taxing moments and ensure optimal task performance.
             Moreover, the system noted a marked drop in task-related errors  in high-stakes scenarios, demonstrating the value of dynamic
             support and adaptive task simplification.
             Performance  Metrics:  The  speech-to-text  (STT)  accuracy  was  measured  and  reported  as  Y%  and  the  natural  language
             processing (NLP) precision indicated the ability of the system to interpret user commands and provide relevant responses in
             context.
             This is a horizontal bar chart visualizing the cognitive workload system’s  performance metrics.



























                                  Figure H.1(a): horizontal bar chart of cognitive workload system.






























                         Figure H.1(b): pie chart illustrating the Distribution of Applications of the Jarvis Model:
             Observations                                         Education: 30%
               The  chart  shows  that  the  Jarvis  Model's  largest     Healthcare: 25%
                application domain is education followed by healthcare     Technology: 20%
                and technology.                                   Corporate Training: 15%
               The  beauty  of  this  implementation  is  the  clarity  it     Research: 10%
                provides  on how the Jarvis Model can be transcended,
                                                                Conclusions
                from one domain to another.
                                                                Our  findings show that Jarvis Model is adapted for reducing
             Pie Chart Overview                                 cognitive load and offers user satisfaction, establishing it as a
               Segments:                                       readily integrable cognitive workload solution.

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