APS
2026 APS Annual Convention · 2026
The Influence of State Dynamics and Personality In Predicting Thought and Affect States with Intensive Longitudinal Data
- Eric Andrews
Northeastern University - Jessica Andrews-Hanna
University of Arizona - Joshua Curtiss
Northeastern University
Abstract
Mind Window data (301 participants, 194,532 responses) were used to classify experiential states and to identify relationships with state dynamics and personality traits. Thought/affect state combinations demonstrated relatively strong effects when predicting subsequent states – highlighting the importance of state dynamics when attempting to encourage transition into a particular states.