The evolution of AI coaches will enable users to detect subtle social signals during interactions.
FREMONT, CA: With the advances in technology, the modern world is witnessing a rise in artificial intelligence (AI) applications, not only in the industrial sector but also in the societal landscape. Their uses range from making forecasts to interacting with customers through chatbots. Many organizations and research institutes are looking into the ability of AI to detect social signals in human communication.
The proposed devices would comprise a digital sensor and could be worn like badges. The digital sensor will be able to detect the signal patterns between people. It will enable the users to gain insight on the nonverbal channel of communications leveraged by people, and predict the outcomes.
The new application will potentially spur the development of AI coaches designed to empower humans to improve their social behavior. The AI coaches will be able to offer personalized guidance to humans, helping them reinforce their strengths and overcome weaknesses. The approach will promote a more productive, emotionally intelligent, and more successful workforce.
The incorporation of AI coaches will enable organizations to enhance the individual and team performance of their employees. In the phone-based and customer service sector, AI can be used to assess the communication between themselves and customers and gain insight, which in turn will enable them to augment their processes.
AI coaches will be able to identify individual performance by tracking body language and social signals. By evaluating the context of specific situations, they will be able to predict the outcome, enabling the users to enhance their performance. It will not only benefit the employees but will also lead to a positive impact on the productivity and work culture of the organization.
The AI coaches are designed as a unified system designed to consolidate continuous measurement, automated guidance, and system learning. They can assess hundreds of behavioral signals during an interaction. It will compare the voices against the training models before providing relevant guidance. It can also generate data correlating behavior against the outcome.
The integration of behavioral science, machine learning (ML), and high-performance computing are enabling the AI coaches to detect social signals faster and provide better guidance, helping people to be more productive and responsive. Although it is possible for employees to become more humanly responsive, AI technology will enable individuals to become their best selves.