Research
10 research domains.
Nine domains that make up Computational Affective Intelligence (CAI), and a tenth, AI for Science, that carries its methods into other fields. Each is deepened on its own while staying in dialogue with the others.
Human Affect
How people actually experience emotion, and where they disagree — the question that precedes any model.
Perception
Estimating emotion from text, speech, video and physiological signals.
Reasoning
Judging from emotion: following context and causal structure.
Generation
Producing affect-bearing language, data and behaviour.
Interaction
Building the place where a person and an AI meet through emotion.
CAI and Human Interaction
How should we design the place where people and models face each other? Self-reflection, dialogue, and the problem of co-presence.
Learn more →Development Based on CAI
Development research that implements emotion-reading AI as applied systems and delivers them to society.
Learn more →Society
Placing it in society, including who decides what an emotion means.
Ethics and Philosophy of CAI
We keep asking who emotion-measuring technologies are for, and how they should be used. We reexamine, in the language of philosophy, the norms that lie between technology and the human.
Learn more →CAI and Business
We re-frame the meeting point of uncertainty, acceptance, and ethics in industrial deployment as practitioner knowledge.
Learn more →CAI and Art
Art as the place where emotion and expression meet — a domain in which AI moves among three positions: 'making,' 'reading,' and 'inspiring.'
Learn more →Beyond CAI
Where the methods built in CAI are carried into other sciences.