According to the latest Gartner report, by 2025, 60% of customer service interactions will use emotional computing technology for real-time emotion analysis. AI emotional computing analyzes non-verbal cues such as tone of voice, speech rate, and word choice to identify customer emotional states in real time, with accuracy improving from 75% in 2022 to 92% in 2024.
Leading companies such as GlobalConnect have integrated emotion recognition modules into cloud-native contact centers. When the system detects customer anger or frustration, it automatically triggers escalation processes, transferring calls to senior agents or offering instant discount options. A case study in the retail industry showed that after adopting emotional computing, customer satisfaction scores (CSAT) rose by an average of 18%, and first contact resolution (FCR) improved by 12%.
However, privacy and ethical issues remain challenges. The European Union's AI Act requires emotion recognition systems to obtain explicit user consent and prohibits their use for discriminatory purposes. Industry experts recommend that companies invest more in transparency, such as informing customers at the start of a call: "This call may be analyzed for emotion to improve service quality." In the future, multimodal emotional computing—combining voice, facial expressions, and text—will further enhance accuracy, expected to reach 95% by 2026.