Page 566 - Emerging Trends and Innovations in Web-Based Applications and Technologies

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.

IJTSRD | Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies Page 556