Human Error Prediction Using Eye Tracking to Improvise Team Cohesion in Human-Machine Teams

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Human Error Prediction Using Eye Tracking to Improvise Team Cohesion in Human-Machine Teams Name Course Date Human Error Prediction Using Eye Tracking to Improvise Team Cohesion in Human-Machine Teams Introduction The upsurge in the incorporation of intelligent frameworks in most of the human-life aspects has formed the foundation for better possibilities regarding increased interactions with machines and devices. The complexity of the collaboration has facilitated the discovery of human-machine teaming (HMT) as a newly emerging field. The evolving relationship between human and machines has become a primary theme with most developments aiming at addressing the complexity factors. Today, the intelligence emanating from machines has been instrumental in the incorporation into different elements of the human life as indicated by IBM survey results. The international organization shows that 75% of respondents in their survey show that intelligent machines ought to have a meaningful impact in business in the next three years. A variety of approaches have been used to identify the reliability of human predictions. Several industries admit that depending on the intuition of human beings have often led to catastrophic events, some of which could be prevented efficiently if machines were used. The use of intelligent devices to measure errors is presumed to offer an enhanced method to alleviate the occurrences of catastrophic events. Still, 70% of organizations involved in the survey believed that intelligent machines could result in a higher-value work for employees if adjustments were made to HMTs. Essentially, the machines have made it possible to increase the

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