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Emochi is a voice journaling app that turns voice notes into a generative character reflecting your emotional world, with instant transcription to help users spot emotional patterns. Built by a doctor, a designer, and two AI engineers, it offers private, non-clinical self-reflection grounded in affective science.
Yohei Nakajima invites the community to share developments with Jev, an AI agent now capable of expressing emotions and interacting through sound.
Decode by Entropik launches AI Creative Insights, a tool that predicts ad performance using AI-moderated eye tracking and emotion analysis before media spending.
This paper tests whether decodable empathy directions in LLMs can reliably shift automated empathy scores, finding that affective facet control is partial and cognitive steering is inconsistent, highlighting that detection does not imply control.
This paper introduces the concept of the 'Affectosphere' and argues that emotion AI cannot fully determine the meaning of an individual's emotion due to irreducible uncertainty, leading to the norm of 'affective sovereignty' where the experiencing subject retains final interpretive authority.
This preprint introduces a method to inject emotion vectors into language models to simulate somatic markers, aiming to bridge the gap between semantic and episodic memory. The authors demonstrate that combining emotional echoes with semantic knowledge improves decision-making capabilities, replicating findings from human cognitive science.