The World of Emotions is not Two-Dimensional

By Johnny Fontaine, Klaus R. Scherer, E. Roesch, P. Ellsworth. Psychology Science, 2007

1,121 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Social Psychology

View Paper: https://www.semanticscholar.org/paper/aa684fd6ce67c3d73ae92f74f650c5475966142a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Social Psychology

Citations in the corpus

AVEC 2012: the continuous audio/visual emotion challenge (2012, background): “An influential recent study [8] argues that these four dimensions account for most of the distinctions between everyday emotion categories.”
The dynamic architecture of emotion: Evidence for the component process model (2009, background): “As mentioned above, recent work, using a more adequate, theoretically anchored feature profile-based similarity assessment yields four reliable factors for many different languages, with arousal coming in only third, after a control/mastery/power factor (Fontaine et al., 2007).”
The Hourglass of Emotions (2011, result): “report consistent results from various cultures where a set of four dimensions is found in user studies, namely <valence, potency, arousal, unpredictability> [32].”
Web-based versus lab-based studies: A response to Kendall (2008) (2008, positive): “Nevertheless, Internet-based research has been used to solve important issues in basic research (e.g., Birnbaum, 2001; Fontaine et al., 2007; Honing, 2006; Klauer, Musch, & Naumer, 2000).”
Multimodal Continuous Emotion Recognition with Data Augmentation Using Recurrent Neural Networks (2018, background): “Continuous emotion recognition as a function of time assigns an emotional value to every frame in a sequence [1, 2], usually consisting of arousal, valence, and dominance [3].”
The socio-emotional basis of human interaction and communication: How we construct our social world (2013, methodology): “Finally, in the heretofore most encompassing empirical study of emotions, by Fontaine et al. (2007), the second dimension, potency–control, explained more variance than the third dimension, activation–arousal: 22.8% versus 11.4%.”
The GRID meets the wheel: assessing emotional feeling via self-report (2013, background): “…fi rst results of the GRID study had confi rmed that the two major dimensions of the semantic emotion domain are indeed valence and control/ power ( Fontaine et al., 2007 ), it became obvious that the GRID paradigm could constitute a royal road to fi nalize the validation of the GEW for a set of…”
PoKi: A Large Dataset of Poems by Children (2020, background): “, 2013; Mohammad, 2018a), and perhaps call into question the orthogonality of three dimensions which, indeed, remains a contentious issue in emotion theory (Fontaine et al., 2007).”
Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011 (2012, background): “Fontaine et al. (2010) proposed the following " working definition of emotion " for which there is increasing consensus in the literature.”
Multimodal fusion framework: A multiresolution approach for emotion classification and recognition from physiological signals (2014, background): “Fontaine et al. (2007) reported four dimensions (valence, potency, arousal and unpredictability) to describe various emotion related phenomena.”
Anxious or Angry? Effects of Discrete Emotions on the Perceived Helpfulness of Online Reviews (2014, background): “An oft-cited weakness of this approach is that global dimensions such as valence and arousal are less useful for capturing emotions that differ little across these fundamental dimensions (Fontaine et al. 2007).”