UA RU EN

New 'Ousiometry' Model Overturns Decades-Old Three-Dimensional Theory of Emotions

Новий підхід до вивчення емоцій розкриває нові грані їхнього виміру. Photo: НВ — Техно

Groundbreaking Research on the 'Ousiometry' Framework

A team of mathematicians and linguists from the University of Vermont has challenged the long-standing VAD emotional model—which measures valence, arousal, and dominance—first introduced in the 1950s. Their findings, published in Science Advances, introduce a new framework called 'ousiometry,' built on three independent dimensions: Power, Danger, and Structure. This innovative model accounts for over 90% of linguistic variation, a significant leap from the VAD model's 72% explanatory capacity.

Funded by the U.S. National Science Foundation and Google, the study analyzed billions of words across diverse text types, including:

  • fiction
  • news articles
  • tweets
  • conversational speech

The team tested the new model on a dataset of more than 20,000 words, using the English translation of Victor Hugo's novel 'Les Misérables' as a case study. For an English-speaking audience, this research reshapes how we understand the emotional undercurrents in everyday language and literature.

Key Insights of the New Model

A critical finding is that the Pollyanna principle—the human tendency to favor positive words—is, according to researcher Peter Dodds, 'merely a one-dimensional projection of a fundamental drive for safety.' This reframes language not just as a tool for expressing feelings, but as an evolutionary survival mechanism.

The term 'ousiometry' derives from the ancient Greek word 'ousia,' meaning essence. It identifies three core coordinates:

  • Power, contrasting weakness with strength
  • Danger, opposing safety with threat
  • Structure, distinguishing order from chaos

This approach opens fresh avenues for analyzing language and its evolutionary functions.

The development of ousiometry could profoundly impact linguistics and psychology, offering a more nuanced grasp of the emotional context in speech. By applying these new dimensions, researchers can better explore how language interacts with emotional and social factors, and how it has evolved over time in response to cultural and societal shifts.