Feeling the Unknown: Emotions of Uncertainty and Their Valence

Vazard, Juliette

doi:10.1007/s10670-022-00583-1

Cited by 7 publications

(4 citation statements)

References 34 publications

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“…Across affective concerns, algorithms reflecting valence arise in the hedonic quality of affective experience, often described as pleasure and displeasure, marking how adaptation is faring with respect to the concern at the heart of the affective phenomenon ( Becker et al, 2019 , this issue). This characteristic of affective phenomena can be construed to have multiple dimensions, such as when both positive and negative valence seem to be present (e.g., nostalgia) ( Colombetti, 2005 ; Keltner and Lerner, 2010 ; Viinikainen et al, 2010 ; Batcho, 2013 ; Vazard, 2022 ). There are more recent formal accounts of the mechanism of valence—some from the perspective of the environment being good, while others of the view that it is the evaluation of the environment being good (e.g., Rutledge et al, 2014 ; Joffily and Coricelli, 2013 ; Hesp et al, 2021 )—but it is largely agreed upon that valence is an intrinsic characteristic of affective phenomena, momentarily describing adaptivity ( Charland, 2005 ; Berridge and Kringelbach, 2008 ; Van de Cruys, 2017 ; Trofimova, 2018 ).…”

Section: The Human Affectome: What Are Human Affective Phen...mentioning

confidence: 99%

The Human Affectome

Schiller,

Yu,

Alia-Klein

et al. 2024

Neuroscience & Biobehavioral Reviews

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Section: The Human Affectome: What Are Human Affective Phen...mentioning

confidence: 99%

The Human Affectome

Schiller,

Yu,

Alia-Klein

et al. 2024

Neuroscience & Biobehavioral Reviews

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“…Dimensional models are used to define emotions according to where they lie in two or three dimensions. They adopt two dimensions-valence or hedonic tone which is the property that specifies whether affects/feelings are positive, negative, or neutral [11], and arousal -which is the psychological and physiological state of being awoken [12]. The most common dimensional models are the ones reviewed below.…”

Section: B Dimensional Modelsmentioning

confidence: 99%

A Survey on Automated Emotion Recognition Using Different Classification Models and Approaches

Deshpande

2023

IJRASET

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Automated emotion detection, is a diverse field with a multitude of applications ranging from software engineering to web customization, education, etc. Several methods and approaches have been devised for automatic emotion recognition, which has taken inspiration from human/natural emotion recognition. I have studied and discussed categorical and dimensional models, which can be subdivided into Circumplex, PANA, vector, and Plutchik's models, for defining a myriad of emotions under varied circumstances. I have stratified the approaches used in emotion detection by trifurcating them into lexicon-based, statistical, and hybrid methods. And, I have presented information on different types of classifiers and classes of neural networks that fall under the category of statistical methods, in a systematized way. I have observed that Support Vector Machines provide the most accurate and clear-cut outcome.

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“…A diverse body of research on uncertainty, furthermore, has shown that uncertainty has important psychological effects. These effects can be positive or adaptive, as in experiences of hope, courage, seeking and savoring (Vazard, 2022;Gregory et al, 2023), but more often uncertainty has negative or potentially maladaptive cognitive, emotional, and behavioral effects (Attema et al, 2013;Hillen et al, 2017;Anderson et al, 2019). In the domain of health and healthcare, the COVID-19 pandemic vividly illustrated how uncertainty about a health threat and its management can promote perceptions of vulnerability, mistrust of information, and feelings of fear and worry, as well as negative behavioral consequences such as refusal of recommended risk-reducing interventions and the spread of misinformation and disinformation.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty: a neglected determinant of health behavior?

Berrigan¹,

Dean²,

Senft³

et al. 2023

Front. Psychol.

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Health behaviors are critical determinants of the well-being of individuals and populations, and understanding the determinants of these behaviors has been a major focus of research. One important determinant that has received little direct attention in past health research is uncertainty: a complex phenomenon that pertains not only to scientific issues regarding the diagnosis, prognosis, prevention, and treatment of health problems, but also to personal issues regarding other important health-related concerns. Here, we make the case for greater attention to uncertainty in health behavior theory and research, and especially to personal uncertainties. We discuss three exemplary types of personal uncertainty—value uncertainty, capacity uncertainty, and motive uncertainty—which relate, respectively, to moral values, capacities to enact or change behaviors, and the motives and intentions of other persons or institutions. We argue that that personal uncertainties such as these influence health behaviors, but their influence has historically been obscured by a focus on other constructs such as self-efficacy and trust. Reconceptualizing and investigating health behavior as a problem of uncertainty can advance both our understanding of the determinants of healthy behaviors and our ability to promote them.

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Feeling the Unknown: Emotions of Uncertainty and Their Valence

Cited by 7 publications

References 34 publications

The Human Affectome

The Human Affectome

A Survey on Automated Emotion Recognition Using Different Classification Models and Approaches

Uncertainty: a neglected determinant of health behavior?

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