.png){kind=icon}
.png){kind=icon}
Return
Temporal mood dynamics and individual heterogeneity: a computational framework for human-environment affective dynamics
.png){kind=icon}
PRE
AI
S
G
T
DOI：10.1016/j.jrp.2026.104703.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• A dynamic framework models mood evolution in environmental exposures. • Emotion-mood interplay is modeled with nonlinear updating and latent class methods. • A primacy effect trend emerges in mood updating and significant in one subgroup. • Individual characteristics (e.g., personality) influence mood dynamics. • Findings inform dynamic affective computing frameworks.
Journal
IF:
3.1
Papers:
134
Citations:
1.1W
Organization
Cited Papers