Research

Ten research domains.

Ten research domains pursued by Affectosphere Group around affective AI. Each domain is deepened independently while remaining in dialogue with the others to weave the larger whole.

Ethics and Philosophy of Affective AI

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.

Understanding Human Emotion

How do humans actually experience and express emotion in the first place? We re-read the accumulated insights of psychology, cognitive science, and neuroscience as the foundation for AI research.

Augmenting Emotional Data

We explore methods that augment and complete ambiguous, polysemous emotion labels while preserving their uncertainty — enabling faithful learning even from sparse annotation.

Understanding the Inside of Affective AI

We unravel what models actually base their emotion judgments on and make the underlying behavior visible.

Emotion Recognition by AI

Foundational recognition research that estimates emotion distributions from text, speech, and physiological signals — aiming for designs that handle uncertainty rather than point estimates.

Affective AI 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.

Affective AI and Business

We re-frame the meeting point of uncertainty, acceptance, and ethics in industrial deployment as practitioner knowledge.

Affective AI and Art

Art as the place where emotion and expression meet — a domain in which AI moves among three positions: 'making,' 'reading,' and 'inspiring.'

Development Based on Affective AI

Development research that implements emotion-reading AI as applied systems and delivers them to society.

Other AI Research

Themes of AI research that are not directly part of affective AI but that our lab pursues.