Emotional-Ai

Customer support is where emotional AI often goes to embarrass itself. A user says, “Fine, whatever.” The system detects a neutral sentence. A human hears irritation, resignation, and possibly the final five seconds before churn. The difference is not vocabulary. It is context, tone, facial expression, timing, and the reason behind the emotion. Unfortunately, many “emotion AI” systems still behave as if the job is to pick a label from a menu: happy, sad, angry, neutral. Very scientific. Also very convenient, because menus are easier than people. ...

TL;DR for operators Most enterprise “emotion AI” still treats emotion as a label: anger, sadness, fear, joy. That is tidy, dashboard-friendly, and psychologically thin. The CoRE paper asks a better question: when an LLM interprets an emotional situation, does it reason through the underlying cognitive appraisals that humans use — fairness, responsibility, control, effort, certainty, pleasantness, obstacles, and related dimensions? The answer is not “no”. It is more inconvenient: LLMs do show structure, but the structure is fragile. ...