A group of scientists at the Universidad Carlos III de Madrid in Spain have invented a computer system that can detect a person's emotions and will change its behavior to make the experience less of a nightmare. The end of spending hours on the phone in an infinite loop of automated messages may be over. The computer system listens to a person's voice and analyzes the pitch, length of pauses, pace of dialogue and volume. Once this information is analyzed, the computer responds with an appropriate action. For example, if the computer can tell that you are frustrated, it will respond with messages directed at your mood and try to defuse the situation. The scientists working on this project have already tested a prototype and results showed people having shorter, happier conversations.
This invention by scientists at the Universidad Carlos III de Madrid shows innovation at its finest. This computer system has the potential to radically change the way companies run their automated telephone systems. Most people complain about awful automated telephone systems but figure that there is no solution. However, this is not what an entrepreneur does. An entrepreneur looks at the problem and thinks, "Why can't I solve this? Every problem is solvable." These scientists are true innovators because they broke away from conventional thinking.
Emotion-Detecting Computers
Scientists at the Universidad Carlos III de Madrid Create a Rad System
Trend Themes
1. Emotion-detecting Technology - Opportunity to implement emotion-detecting technology to improve customer service experiences and interactions.
2. Enhanced Automated Systems - Opportunity to develop automated systems that can adapt and respond based on customer's emotions, creating more personalized and effective interactions.
3. Emotion-driven AI - Opportunity to integrate emotion-driven artificial intelligence into various industries for improved customer engagement and satisfaction.
Industry Implications
1. Customer Service - Disruption opportunity: Implement emotion-detecting technology and adaptive automated systems to enhance customer service experiences and reduce frustration.
2. Telecommunications - Disruption opportunity: Integrate emotion-driven AI into telephone systems to improve customer interactions and provide personalized support.
3. Healthcare - Disruption opportunity: Utilize emotion-detecting technology and adaptive systems in healthcare settings to enhance patient interactions and improve satisfaction.