Case Studies

Emotion recognition for chatbots, user UIs, and for use in robotics

Tracking emotional trends as they respond to new products, concepts, and ideas.

Aids communication operators to judge the emotion of users as they communicate.

Tracking emotional trends in an individual (or group’s) communication, for instance anger or sadness signals, or temporal changes in emotional communication.

Enable non-player characters to interact with users/players emotional states.

Assistance in medical evaluations, questionnaires, and surveys. Tele-health initiatives would benefit.

Identify potential conflicts among team members.

Reveal patterns of use of emotions in communication.

V.E.R.N. could help track consumer emotional sentiment about a brand, product, company, and company leadership.

V.E.R.N. could add emotional recognition to responses to poling, surveys, and focus groups.

Monitor and remove malignant or unwanted content. V.E.R.N. could assist in analyzing communication for flagging and removal.

V.E.R.N. could assist translation from different languages and different cultures.