Feelings Change: Accounting for Individual Differences in the Temporal Dynamics of Affect

被引:352
作者
Kuppens, Peter [1 ,2 ]
Oravecz, Zita [1 ]
Tuerlinckx, Francis [1 ]
机构
[1] Katholieke Univ Leuven, Dept Psychol, B-3000 Louvain, Belgium
[2] Univ Melbourne, Dept Psychol Sci, Melbourne, Vic, Australia
关键词
emotion; affect; dynamics; individual differences; attractor; EMOTION REGULATION; NEGATIVE AFFECT; SELF-ESTEEM; CORE AFFECT; MOOD VARIABILITY; POSITIVE AFFECT; PERSONALITY; EXPERIENCE; LIFE; PERSPECTIVES;
D O I
10.1037/a0020962
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
People display a remarkable variability in the patterns and trajectories with which their feelings change over time. In this article, we present a theoretical account for the dynamics of affect (DynAffect) that identifies the major processes underlying individual differences in the temporal dynamics of affective experiences. It is hypothesized that individuals are characterized by an affective home base, a baseline attractor state around which affect fluctuates. These fluctuations vary as the result of internal or external processes to which an individual is more or less sensitive and are regulated and tied back to the home base by the attractor strength. Individual differences in these 3 processes affective home base, variability, and attractor strength are proposed to underlie individual differences in affect dynamics. The DynAffect account is empirically evaluated by means of a diffusion modeling approach in 2 extensive experience-sampling studies on people's core affective experiences. The findings show that the model is capable of adequately capturing the observed dynamics in core affect across both large (Study 1) and shorter time scales (Study 2) and illuminate how the key processes are related to personality and emotion dispositions. Implications for the understanding of affect dynamics and affective dysfunctioning in psychopathology are also discussed.
引用
收藏
页码:1042 / 1060
页数:19
相关论文
共 133 条
[1]  
[Anonymous], 1996, Tools for Statistical Inference
[2]  
[Anonymous], 1994, Nonlinear dynamics and chaos: with applications to physics, biology, chemistry, and engineering, DOI 9780738204536
[3]   Non-Gaussian Ornstein-Uhlenbeck-based models and some of their uses in financial economics [J].
Barndorff-Nielsen, OE ;
Shephard, N .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2001, 63 :167-207
[4]   The structure of current affect: Controversies and emerging consensus [J].
Barrett, LF ;
Russell, AA .
CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE, 1999, 8 (01) :10-14
[5]   Interoceptive sensitivity and self-reports of emotional experience [J].
Barrett, LF ;
Quigley, KS ;
Bliss-Moreau, E ;
Aronson, KR .
JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY, 2004, 87 (05) :684-697
[6]   An introduction to computerized experience sampling in psychology [J].
Barrett, LF ;
Barrett, DJ .
SOCIAL SCIENCE COMPUTER REVIEW, 2001, 19 (02) :175-185
[7]   The experience of emotion [J].
Barrett, Lisa Feldman ;
Mesquita, Batja ;
Ochsner, Kevin N. ;
Gross, James J. .
ANNUAL REVIEW OF PSYCHOLOGY, 2007, 58 :373-403
[8]   AFFECT AS A PSYCHOLOGICAL PRIMITIVE [J].
Barrett, Lisa Feldman ;
Bliss-Moreau, Eliza .
ADVANCES IN EXPERIMENTAL SOCIAL PSYCHOLOGY, VOL 41, 2009, 41 :167-218
[9]   Random diffusion models for animal movement [J].
Blackwell, PG .
ECOLOGICAL MODELLING, 1997, 100 (1-3) :87-102
[10]  
Boker S.M., 2007, DATA ANAL TECHNIQUES