Reflections on the “body loop”: Carl Georg Lange's theory of emotion

Wassmann, Claudia

doi:10.1080/02699930903052744

Cited by 10 publications

(2 citation statements)

References 19 publications

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“…The James-Lange theory of emotion, which is consistent with the embodiment view, is particularly relevant to the current research. This theory proposes that emotions are "readouts of physiological changes in the body" [15], [16]. According to this theory, physiological responses occur first, followed by an understanding of those physical changes, and these together constitute the emotion.…”

Section: Theoretical Underpinnings Of Physiology-based Affect Detectionmentioning

confidence: 99%

Detecting Naturalistic Expressions of Nonbasic Affect Using Physiological Signals

AlZoubi

D’Mello

Calvo

2012

IEEE Trans. Affective Comput.

119

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Signals from peripheral physiology (e.g., ECG, EMG, and GSR) in conjunction with machine learning techniques can be used for the automatic detection of affective states. The affect detector can be user-independent, where it is expected to generalize to novel users, or user-dependent, where it is tailored to a specific user. Previous studies have reported some success in detecting affect from physiological signals, but much of the work has focused on induced affect or acted expressions instead of contextually constrained spontaneous expressions of affect. This study addresses these issues by developing and evaluating user-independent and user-dependent physiology-based detectors of nonbasic affective states (e.g., boredom, confusion, curiosity) that were trained and validated on naturalistic data collected during interactions between 27 students and AutoTutor, an intelligent tutoring system with conversational dialogues. There is also no consensus on which techniques (i.e., feature selection or classification methods) work best for this type of data. Therefore, this study also evaluates the efficacy of affect detection using a host of feature selection and classification techniques on three physiological signals (ECG, EMG, and GSR) and their combinations. Two feature selection methods and nine classifiers were applied to the problem of recognizing eight affective states (boredom, confusion, curiosity, delight, flow/engagement, surprise, and neutral). The results indicated that the user-independent modeling approach was not feasible; however, a mean kappa score of 0.25 was obtained for user-dependent models that discriminated among the most frequent emotions. The results also indicated that k-nearest neighbor and Linear Bayes Normal Classifier (LBNC) classifiers yielded the best affect detection rates. Single channel ECG, EMG, and GSR and three-channel multimodal models were generally more diagnostic than two-channel models.

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Section: Theoretical Underpinnings Of Physiology-based Affect Detectionmentioning

confidence: 99%

Detecting Naturalistic Expressions of Nonbasic Affect Using Physiological Signals

AlZoubi

D’Mello

Calvo

2012

IEEE Trans. Affective Comput.

119

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“…Theodor Hermann Meynert (1833-1892) described pathological conditions as changes in brain blood supply, and the main causal mechanism -as changes in cellular nutrition caused by these blood supply disruptions and birth defects (Berrios and Marková, 2002;Meynert, 1885). Interestingly, Carl Lange's (1834-1900) theory of emotion was proposed in almost the same period, and is also linked blood circulation, vasoconstriction, perfusion and nutrition to pathological affective conditions (Wassmann, 2010).…”

Section: Milestones In Biopsychiatric Conceptsmentioning

confidence: 99%

Developing translational biological psychiatry: Learning from history to build the future

Demin

Meshalkina

Lakstygal

et al. 2017

BioComm

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“Picturesque Incisiveness”: Explaining the Celebrity of James's Theory of Emotion

Wassmann¹

2014

J History Behavioral Science

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William James is the name that comes to mind when asked about scientific explanations of emotion in the nineteenth century. However, strictly speaking James's theory of emotion does not explain emotions and never did. Indeed, James contemporaries pointed this out already more than a hundred years ago. Why could "James' theory" nevertheless become a landmark that psychologists, neuroscientists, and historians alike refer to today? The strong focus on James and Anglo-American sources in historiography has overshadowed all other answers given to the question of emotion at the time of James. For that reason, the article returns to the primary sources and places James's work back into the context of nineteenth century brain research in which it developed.

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Reflections on the “body loop”: Carl Georg Lange's theory of emotion

Cited by 10 publications

References 19 publications

Detecting Naturalistic Expressions of Nonbasic Affect Using Physiological Signals

Detecting Naturalistic Expressions of Nonbasic Affect Using Physiological Signals

Developing translational biological psychiatry: Learning from history to build the future

“Picturesque Incisiveness”: Explaining the Celebrity of James's Theory of Emotion

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