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Journal articles on the topic 'Affective state'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 July 2024

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1

Koukopoulos, Alexia Emilia, Gloria Angeletti, Gabriele Sani, Delfina Janiri, Giovanni Manfredi, Georgios D. Kotzalidis, and Lavinia De Chiara. "Perinatal Mixed Affective State." Psychiatric Clinics of North America 43, no. 1 (March 2020): 113–26. http://dx.doi.org/10.1016/j.psc.2019.10.004.

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2

Harding, Emma J., Elizabeth S. Paul, and Michael Mendl. "Cognitive bias and affective state." Nature 427, no. 6972 (January 2004): 312. http://dx.doi.org/10.1038/427312a.

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3

Altman, Tess. "Making the State Blush." Social Analysis 64, no. 1 (March 1, 2020): 1–23. http://dx.doi.org/10.3167/sa.2020.640101.

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The Australian state’s hostile deterrence policy toward people arriving by boat who seek asylum evokes polarized public sentiments. This article, which ethnographically follows a humanitarian NGO campaign in the lead-up to the 2016 Australian election, examines how citizens who opposed deterrence sought to affectively and morally influence the state and the public. Building on anthropological theories of the state and feminist scholarship on the sociality of emotion, I develop the notion of ‘affective relations’. Distinguishing from nationalist, humanitarian, and activist relations that set up divisive dynamics, campaigners invoked ‘humanizing’ to create affective relations based on common values, personalization, and responsiveness. Although the desired election results were not achieved, the focus on humanization represented a long-term shift to an inclusive alternative politics based on the transformation of power relations.

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4

Costa Da Silva, Elainy, and Nythamar De Oliveira. "Spinoza’s Geometry of Affective Relations, the Body Politic, and the Social Grammar of Intolerance: A Minimalist Theory of Toleration." Roczniki Filozoficzne 70, no. 4 (December 30, 2022): 237–69. http://dx.doi.org/10.18290/rf2204.9.

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In this paper, we set out to show that the relationships between individuals, including the intersubjectivity inherent to the body politic, are also affective relationships, so as to reconstruct Spinoza’s minimalist theory of tolerance. According to Spinoza’s concept of affectivity and bodily life, affection refers to a state of the affected body and implies the presence of the affecting body, while affect refers to the transition from one state to another, taking into account the correlative variation of affective bodies, that is, the affect is always a passage or variation in the intensity of our power to exist and act — the increase or decrease, the favoring or the restraint of our power to exist and act. We argue that Spinoza’s geometry of affective relations decisively contributes to a political theory of democracy, insofar as it anticipates modern, liberal conceptions of tolerance.

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Murali Krishna, P., R. Pradeep Reddy, Veena Narayanan, S. Lalitha, and Deepa Gupta. "Affective state recognition using audio cues." Journal of Intelligent & Fuzzy Systems 36, no. 3 (March 26, 2019): 2147–54. http://dx.doi.org/10.3233/jifs-169926.

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Luneski, A., E. Konstantinidis, and P. D. Bamidis. "Affective Medicine." Methods of Information in Medicine 49, no. 03 (2010): 207–18. http://dx.doi.org/10.3414/me0617.

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Summary Background: Affective computing (AC) is concerned with emotional interactions performed with and through computers. It is defined as “computing that relates to, arises from, or deliberately influences emotions”.AC enables investigation and understanding of the relation between human emotions and health as well as application of assistive and useful technologies in the medical domain. Objectives: 1) To review the general state of the art in AC and its applications in medicine, and 2) to establish synergies between the research communities of AC and medical informatics. Methods: Aspects related to the human affective state as a determinant of the human health are discussed, coupled with an illustration of significant AC research and related literature output. Moreover, affective communication channels are described and their range of application fields is explored through illustrative examples. Results: The presented conferences, European research projects and research publications illustrate the recent increase of interest in the AC area by the medical community. Tele-home healthcare, Am I, ubiquitous monitoring, e-learning and virtual communities with emotionally expressive characters for elderly or impaired people are few areas where the potential of AC has been realized and applications have emerged. Conclusions: A number of gaps can potentially be overcome through the synergy of AC and medical informatics. The application of AC technologies parallels the advancement of the existing state of the art and the introduction of new methods. The amount of work and projects reviewed in this paper witness an ambitious and optimistic synergetic future of the affective medicine field.

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Sen, Debarati. "Affective Solidarities?" Anthropology in Action 23, no. 2 (June 1, 2016): 13–18. http://dx.doi.org/10.3167/aia.2016.230203.

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AbstractThe popularity of fair trade products has engendered new possibilities for consumer citizens in the global North to demonstrate solidarity with producers in the global South. Fair trade enthusiasts not only buy labelled products as an act of solidarity with producers in Darjeeling’s tea plantations; but also extend their affective solidarity by voluntarily visiting certified production sites to witness how fair trade affects workers’ livelihoods. Fair trade as transnational praxis has inadvertently pushed justice seeking and delivery to a non-state sphere that is not accountable to the workers in terms of citizenship rights; however, it must address the bargaining power of producers since wages and benefits are baseline determinants of quality of life. Fair trade-engendered solidarity practices erase the complex history of workers’ struggle with the state and established systems of power through collective bargaining. These acts in turn produce new kinds of transnational praxis affecting the plantation public sphere.

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8

Smith, J. Carson, Margaret M. Bradley, and Peter J. Lang. "State anxiety and affective physiology: effects of sustained exposure to affective pictures." Biological Psychology 69, no. 3 (July 2005): 247–60. http://dx.doi.org/10.1016/j.biopsycho.2004.09.001.

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9

Lynn, Spencer K., Xuan Zhang, and Lisa Feldman Barrett. "Affective state influences perception by affecting decision parameters underlying bias and sensitivity." Emotion 12, no. 4 (2012): 726–36. http://dx.doi.org/10.1037/a0026765.

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10

Swan, Alexander B., Avichg Cohen, Samantha R. Evans, and Barbara A. Drescher. "Influence of Taste Quality on Affective State." Psi Chi Journal of Psychological Research 18, no. 2 (2013): 61–66. http://dx.doi.org/10.24839/2164-8204.jn18.2.61.

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11

Chen, Zhimin, and David Whitney. "Tracking the affective state of unseen persons." Proceedings of the National Academy of Sciences 116, no. 15 (February 27, 2019): 7559–64. http://dx.doi.org/10.1073/pnas.1812250116.

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Emotion recognition is an essential human ability critical for social functioning. It is widely assumed that identifying facial expression is the key to this, and models of emotion recognition have mainly focused on facial and bodily features in static, unnatural conditions. We developed a method called affective tracking to reveal and quantify the enormous contribution of visual context to affect (valence and arousal) perception. When characters’ faces and bodies were masked in silent videos, viewers inferred the affect of the invisible characters successfully and in high agreement based solely on visual context. We further show that the context is not only sufficient but also necessary to accurately perceive human affect over time, as it provides a substantial and unique contribution beyond the information available from face and body. Our method (which we have made publicly available) reveals that emotion recognition is, at its heart, an issue of context as much as it is about faces.

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12

Baliniskite, Glorija, Egons Lavendelis, and Mara Pudane. "Affective State Based Anomaly Detection in Crowd." Applied Computer Systems 24, no. 2 (December 1, 2019): 134–40. http://dx.doi.org/10.2478/acss-2019-0017.

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Abstract To distinguish individuals with dangerous abnormal behaviours from the crowd, human characteristics (e.g., speed and direction of motion, interaction with other people), crowd characteristics (such as flow and density), space available to individuals, etc. must be considered. The paper proposes an approach that considers individual and crowd metrics to determine anomaly. An individual’s abnormal behaviour alone cannot indicate behaviour, which can be threatening toward other individuals, as this behaviour can also be triggered by positive emotions or events. To avoid individuals whose abnormal behaviour is potentially unrelated to aggression and is not environmentally dangerous, it is suggested to use emotional state of individuals. The aim of the proposed approach is to automate video surveillance systems by enabling them to automatically detect potentially dangerous situations.

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13

Rummel, Jan, Johanna Hepp, Sina A. Klein, and Nicola Silberleitner. "Affective state and event-based prospective memory." Cognition & Emotion 26, no. 2 (February 2012): 351–61. http://dx.doi.org/10.1080/02699931.2011.574873.

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Arnaudova, Inna, Angelos-Miltiadis Krypotos, Marieke Effting, Merel Kindt, and Tom Beckers. "Manipulating affective state influences conditioned appetitive responses." Cognition and Emotion 32, no. 5 (October 6, 2017): 1062–81. http://dx.doi.org/10.1080/02699931.2017.1386624.

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15

Blanco, M. J., F. Valle-Inclán, and J. Lamas. "Affective state dependence in a recognition task." Revista de Psicología Social 1, no. 1 (January 1986): 79–82. http://dx.doi.org/10.1080/02134748.1986.10821545.

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SUTTON, STEVEN K., RICHARD J. DAVIDSON, BONNY DONZELLA, WILLIAM IRW1N, and DARREN A. DOTTL. "Manipulating affective state using extended picture presentations." Psychophysiology 34, no. 2 (March 1997): 217–26. http://dx.doi.org/10.1111/j.1469-8986.1997.tb02135.x.

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17

Kulic, Dana, and Elizabeth A. Croft. "Affective State Estimation for Human–Robot Interaction." IEEE Transactions on Robotics 23, no. 5 (October 2007): 991–1000. http://dx.doi.org/10.1109/tro.2007.904899.

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18

Gasparini, Francesca, Marta Giltri, and Stefania Bandini. "Discriminating affective state intensity using physiological responses." Multimedia Tools and Applications 79, no. 47-48 (June 14, 2020): 35845–65. http://dx.doi.org/10.1007/s11042-020-09114-y.

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19

Thompson, Nik, and Tanya Jane McGill. "Affective Tutoring Systems." International Journal of Information and Communication Technology Education 8, no. 4 (October 2012): 75–89. http://dx.doi.org/10.4018/jicte.2012100107.

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This paper introduces the field of affective computing, and the benefits that can be realized by enhancing e-learning applications with the ability to detect and respond to emotions experienced by the learner. Affective computing has potential benefits for all areas of computing where the computer replaces or mediates face to face communication. The particular relevance of affective computing to e-learning, due to the complex interplay between emotions and the learning process, is considered along with the need for new theories of learning that incorporate affect. Some of the potential means for inferring users’ affective state are also reviewed. These can be broadly categorized into methods that involve the user’s input, and methods that acquire the information independent of any user input. This latter category is of particular interest as these approaches have the potential for more natural and unobtrusive implementation, and it includes techniques such as analysis of vocal patterns, facial expressions or physiological state. The paper concludes with a review of prominent affective tutoring systems and promotes future directions for e-learning that capitalize on the strengths of affective computing.

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20

Laubu, Chloé, Philippe Louâpre, and François-Xavier Dechaume-Moncharmont. "Pair-bonding influences affective state in a monogamous fish species." Proceedings of the Royal Society B: Biological Sciences 286, no. 1904 (June 12, 2019): 20190760. http://dx.doi.org/10.1098/rspb.2019.0760.

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In humans, affective states are a key component in pair-bonding, particularly in the early stage of a relationship. Pairing with a high-quality partner elicits positive affective states which, in turn, validate and reinforce the mate choice. Affective states thus strongly affect pair stability and future reproductive success. We propose generalizing the link between affective states and pair-bonding to encompass other monogamous species exhibiting biparental care, chiefly where the reproductive success of the pair critically depends on the coordination between partners. The convict cichlid Amatitlania siquia is a monogamous fish species that forms long-lasting pairs with strong cooperation between parents for parental care. In this species, we showed that females paired with their non-preferred male had lower reproductive success than those paired with their preferred male. We then transposed the judgement bias paradigm, previously used in other animal species, to assess objectively affective states in fishes. Females that were assigned their non-preferred partner exhibited pessimistic bias, which indicates a negative affective state. By contrast, females that were assigned their preferred partner did not exhibit changes in their affective state. Our results highlight that the influence of pair-bonding on affective states is not human-specific and can also be observed in non-human species.

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21

Neethirajan, Suresh. "Affective State Recognition in Livestock—Artificial Intelligence Approaches." Animals 12, no. 6 (March 17, 2022): 759. http://dx.doi.org/10.3390/ani12060759.

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Farm animals, numbering over 70 billion worldwide, are increasingly managed in large-scale, intensive farms. With both public awareness and scientific evidence growing that farm animals experience suffering, as well as affective states such as fear, frustration and distress, there is an urgent need to develop efficient and accurate methods for monitoring their welfare. At present, there are not scientifically validated ‘benchmarks’ for quantifying transient emotional (affective) states in farm animals, and no established measures of good welfare, only indicators of poor welfare, such as injury, pain and fear. Conventional approaches to monitoring livestock welfare are time-consuming, interrupt farming processes and involve subjective judgments. Biometric sensor data enabled by artificial intelligence is an emerging smart solution to unobtrusively monitoring livestock, but its potential for quantifying affective states and ground-breaking solutions in their application are yet to be realized. This review provides innovative methods for collecting big data on farm animal emotions, which can be used to train artificial intelligence models to classify, quantify and predict affective states in individual pigs and cows. Extending this to the group level, social network analysis can be applied to model emotional dynamics and contagion among animals. Finally, ‘digital twins’ of animals capable of simulating and predicting their affective states and behaviour in real time are a near-term possibility.

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22

Fuseda, Kohei, Ayano Matsubara, and Jun’ichi Katayama. "The affective state impact on Japanese sentence processing." Proceedings of the Annual Convention of the Japanese Psychological Association 82 (September 25, 2018): 1PM—081–1PM—081. http://dx.doi.org/10.4992/pacjpa.82.0_1pm-081.

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23

Cheifetz, Philip N., George Stavrakakis, and Eva P. Lester. "Studies of the Affective State in Bereaved Children*." Canadian Journal of Psychiatry 34, no. 7 (October 1989): 688–92. http://dx.doi.org/10.1177/070674378903400711.

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The process of bereavement in children ranges from the absence of grief to symptoms of anxiety and conduct disturbances. Some psychoanalytic opinion holds that the absence of grief, associated with lack of cognitive maturity, leads to the development of psychopathology later in life. Other writers describe a mourning response, taking the form of ambivalence, anxiety, and care giving, which may protect against subsequent depression. This paper describes the affective response in 16 children ages four to 17 years, two to three years following the death of a parent, in order to further characterize developmental aspects of the emotional repertoire of bereavement. Only children aged 12 and over were depressed according to the Poznansky Children's Depression Rating Scale and criteria in the DSM-III. Conduct disturbances were observed in the younger children and some of the older children and were correlated with depression in the group as a whole. This suggests that the expression of depressive affect depends on maturation and that the young child may register grief only through anxiety and negativism. Examples of this spectrum of responses are offered in two case vignettes.

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24

Rolls, Edmund T., Fabian Grabenhorst, and Leonardo Franco. "Prediction of Subjective Affective State From Brain Activations." Journal of Neurophysiology 101, no. 3 (March 2009): 1294–308. http://dx.doi.org/10.1152/jn.91049.2008.

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Decoding and information theoretic techniques were used to analyze the predictions that can be made from functional magnetic resonance neuroimaging data on individual trials. The subjective pleasantness produced by warm and cold applied to the hand could be predicted on single trials with typically in the range 60–80% correct from the activations of groups of voxels in the orbitofrontal and medial prefrontal cortex and pregenual cingulate cortex, and the information available was typically in the range 0.1–0.2 (with a maximum of 0.6) bits. The prediction was typically a little better with multiple voxels than with one voxel, and the information increased sublinearly with the number of voxels up to typically seven voxels. Thus the information from different voxels was not independent, and there was considerable redundancy across voxels. This redundancy was present even when the voxels were from different brain areas. The pairwise stimulus-dependent correlations between voxels, reflecting higher-order interactions, did not encode significant information. For comparison, the activity of a single neuron in the orbitofrontal cortex can predict with 90% correct and encode 0.5 bits of information about whether an affectively positive or negative visual stimulus has been shown, and the information encoded by small numbers of neurons is typically independent. In contrast, the activation of a 3 × 3 × 3-mm voxel reflects the activity of ∼0.8 million neurons or their synaptic inputs and is not part of the information encoding used by the brain, thus providing a relatively poor readout of information compared with that available from small populations of neurons.

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Larson, Kristin K., and Shimon Sapir. "Orolaryngeal Reflex Responses to Changes in Affective State." Journal of Speech, Language, and Hearing Research 38, no. 5 (October 1995): 990–1000. http://dx.doi.org/10.1044/jshr.3805.990.

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26

Rozzini, Renzo, Orazio Zanetti, Angelo Bianchetti, and Marco Trabucchi. "Affective State and Symptoms Prevalence in the Elderly." Journal of the American Geriatrics Society 35, no. 3 (March 1987): 276. http://dx.doi.org/10.1111/j.1532-5415.1987.tb02332.x.

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Stracke, Jenny, Winfried Otten, Armin Tuchscherer, Maren Witthahn, Cornelia C. Metges, Birger Puppe, and Sandra Düpjan. "Dietary tryptophan supplementation and affective state in pigs." Journal of Veterinary Behavior 20 (July 2017): 82–90. http://dx.doi.org/10.1016/j.jveb.2017.03.009.

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28

Flecknell, Paul, Matthew Leach, and Melissa Bateson. "Affective state and quality of life in mice." Pain 152, no. 5 (May 2011): 963–64. http://dx.doi.org/10.1016/j.pain.2011.01.030.

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29

Lodewyckx, Tom, Francis Tuerlinckx, Peter Kuppens, Nicholas B. Allen, and Lisa Sheeber. "A hierarchical state space approach to affective dynamics." Journal of Mathematical Psychology 55, no. 1 (February 2011): 68–83. http://dx.doi.org/10.1016/j.jmp.2010.08.004.

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30

Strakowski, Stephen M., Eduardo Dunayevich, Paul E. Keck, and Susan L. McElroy. "Affective state dependence of the Tridimensional Personality Questionnaire." Psychiatry Research 57, no. 3 (August 1995): 209–14. http://dx.doi.org/10.1016/0165-1781(95)02655-g.

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31

Facchinetti, F., C. Giovannini, C. Barletta, F. Petraglia, R. Buzzetti, F. Burla, R. Lazzari, A. R. Genazzani, and D. Scavo. "Hyperendorphinemia in obesity and relationships to affective state." Physiology & Behavior 36, no. 5 (January 1986): 937–40. http://dx.doi.org/10.1016/0031-9384(86)90456-7.

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32

Caridakis, George, Kostas Karpouzis, Manolis Wallace, Loic Kessous, and Noam Amir. "Multimodal user’s affective state analysis in naturalistic interaction." Journal on Multimodal User Interfaces 3, no. 1-2 (December 15, 2009): 49–66. http://dx.doi.org/10.1007/s12193-009-0030-8.

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Abou Elseoud, Ahmed, Juuso Nissilä, Anu Liettu, Jukka Remes, Jari Jokelainen, Timo Takala, Antti Aunio, et al. "Altered resting-state activity in seasonal affective disorder." Human Brain Mapping 35, no. 1 (September 15, 2012): 161–72. http://dx.doi.org/10.1002/hbm.22164.

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Septyarini, Dewi Nur, Gusti Noorlitaria Achmad, and Adjie Sofyan. "THE EFFECT OF SENSORY STIMULI ON INCREASING CUSTOMER SATISFACTION AND CUSTOMER ADVOCACY BANKALTIMTARA USING THE Stimulus ORGANISM RESPONSE (SOR) MODEL." International Journal of Economics, Business and Accounting Research (IJEBAR) 6, no. 2 (June 24, 2022): 752. http://dx.doi.org/10.29040/ijebar.v6i2.5032.

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Abstract: The purpose of this study is to prove that the Bankaltimtara website stimuli have an effect on the affective state of its customers, to prove that the Bankaltimtara's servicescape stimuli have an effect on the customer's affective state, to prove that the customer's affective state has an effect on increasing bankaltimtara's customer satisfaction. , to prove the affective state of customers mediating the influence of website stimuli on increasing customer satisfaction bankaltimtara, to prove the affective state of customers mediating the influence of website stimuli on increasing customer advocacy behavior bankaltimtara, to prove the affective state of customers mediating the effect of servicescape stimuli on increasing customer satisfaction bankaltimtara, to prove the situation customer affective mediates the effect of servicescape stimuli on increasing customer advocacy behavior ur bankaltimtara. This type of research uses survey research with a causative approach which aims to explain the causal relationship between two or more observed variables through hypothesis testing so that conclusions can be drawn. the population in this study were customers of conventional bankaltimtara savings. with Partial Least Square (PLS) program in data processing. the results of this study indicate that website stimuli have a positive and significant direct effect on the affective state of bankaltimtara customers, servicescape stimuli have a direct positive and significant effect on the affective state of bankaltimtara customers, affective state has a direct positive and significant effect on customer satisfaction bankaltimtara. Keywords: Effect Of Sensory Stimuli, Increasing Customer Satisfaction, Customer Advocacy, Stimulus Organism Response (SOR) Model, Bankaltimtara

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Wetzler, Scott. "Mood State-Dependent Retrieval: A Failure to Replicate." Psychological Reports 56, no. 3 (June 1985): 759–65. http://dx.doi.org/10.2466/pr0.1985.56.3.759.

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The present study attempted a modified replication of Bower, et al.'s 1978 finding of affective state-dependent retrieval. It is argued that Bower's finding confounds two theoretically distinct effects, pure affective state-dependent retrieval and an interference effect. Using the Velten mood induction and an interference list learning task over 24- to 48-hr. intervals, it was impossible to replicate Bower's finding. Considering the difficulty of reproducing affective state-dependent retrieval in many laboratories, one must exercise caution in drawing conclusions about its generalizability.

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Schwan, David. "DOES AFFECTIVE EMPATHY REQUIRE PERSPECTIVE-TAKING OR AFFECTIVE MATCHING?" American Philosophical Quarterly 56, no. 3 (July 1, 2019): 277–88. http://dx.doi.org/10.2307/48570636.

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Abstract Affective empathy has been variously characterized. First, I argue that we have reasons to prefer a narrower account of affective empathy, which requires the cognitive mechanisms of perspective-taking. Second, I mount a challenge to the standard account of affective matching thought to be required for affective empathy. On one widely held view, affective empathy requires an actual affective match between the subject and the target of empathy. I reject this view. While empathy often involves an actual match, we also count as empathizing with the target if we share the fitting state in their situation. This wider account better captures a number of plausible cases of empathy, and it also better explains why we care about affective empathy.

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Wang, Ling. "Application of Affective Filter Hypothesis in Junior English Vocabulary Teaching." Journal of Language Teaching and Research 11, no. 6 (November 1, 2020): 983. http://dx.doi.org/10.17507/jltr.1106.16.

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With the continuous development of new curriculum reform, language teaching is paid more attention to the learners’ affective state. Affective factors are becoming more and more important factors affecting learners. Therefore, English educators need to make good use of affective factors during the teaching. This thesis researches the middle school students’ emotional problems in the vocabulary learning from three aspects of affective filter hypothesis: motivation, confidence and anxiety and finds the problems of middle school students in English vocabulary learning, then applies this theory in vocabulary teaching. The research shows that the affective filter hypothesis is applied in Junior Middle School English vocabulary teaching. It effectively improves teachers’ teaching proficiency and is good for students’ vocabulary learning.

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Della Longa, Letizia, Danica Dragovic, and Teresa Farroni. "In Touch with the Heartbeat: Newborns’ Cardiac Sensitivity to Affective and Non-Affective Touch." International Journal of Environmental Research and Public Health 18, no. 5 (February 24, 2021): 2212. http://dx.doi.org/10.3390/ijerph18052212.

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The sense of touch is the first manner of contact with the external world, providing a foundation for the development of sensorimotor skills and socio-affective behaviors. In particular, affective touch is at the core of early interpersonal interactions and the developing bodily self, promoting the balance between internal physiological state and responsiveness to external environment. The aim of the present study is to investigate whether newborns are able to discriminate between affective touch and non-affective somatosensory stimulations and whether affective touch promotes a positive physiological state. We recorded full-term newborns’ (N = 30) heart rate variability (HRV)—which reflects oscillations of heart rate associated with autonomic cardio-respiratory regulation—while newborns were presented with two minutes of affective (stroking) and non-affective (tapping) touch alternated with two minutes of resting in a within-subject design. The results revealed that non-affective touch elicits a decrease in HRV, whereas affective touch does not result in a change of HRV possibly indicating maintenance of calm physiological state. Thus, newborns showed cardiac sensitivity to different types of touch, suggesting that early somatosensory stimulation represents scaffolding for development of autonomic self-regulation with important implications on infant’s ability to adaptively respond to the surrounding social and physical environment.

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Penz, Otto, Birgit Sauer, Myriam Gaitsch, Johanna Hofbauer, and Barbara Glinsner. "Post-bureaucratic encounters: Affective labour in public employment services." Critical Social Policy 37, no. 4 (January 6, 2017): 540–61. http://dx.doi.org/10.1177/0261018316681286.

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This article explores the activation regime in three European countries – Austria, Germany, and Switzerland – and the related transformation of state bureaucracies into customer-oriented service providers. In the case of employment services affective labour tends to characterise the work process, in which public employees seek to guide, motivate, and control jobseekers. Our study focuses on organisational mechanisms, which govern the affect management of employment agents; we ask, how these actors are affectively subjectivated at the workplace and how they develop affective self-technologies to effectively govern jobseekers in counselling sessions. We conclude that state power and social policies increasingly revolve around subtle, affective means of governance, and we regard ‘affective entrepreneurialism’ as the dominant mode to govern public employees as well as citizens. The findings of the study are based on ethnographic fieldwork in three cities, where we conducted interviews, examined training materials, and observed and videotaped interactions at selected employment agencies.

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40

Ab. Aziz, Nor Azlina, Tawsif K., Sharifah Noor Masidayu Sayed Ismail, Muhammad Anas Hasnul, Kamarulzaman Ab. Aziz, Siti Zainab Ibrahim, Azlan Abd. Aziz, and J. Emerson Raja. "Asian Affective and Emotional State (A2ES) Dataset of ECG and PPG for Affective Computing Research." Algorithms 16, no. 3 (February 27, 2023): 130. http://dx.doi.org/10.3390/a16030130.

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Affective computing focuses on instilling emotion awareness in machines. This area has attracted many researchers globally. However, the lack of an affective database based on physiological signals from the Asian continent has been reported. This is an important issue for ensuring inclusiveness and avoiding bias in this field. This paper introduces an emotion recognition database, the Asian Affective and Emotional State (A2ES) dataset, for affective computing research. The database comprises electrocardiogram (ECG) and photoplethysmography (PPG) recordings from 47 Asian participants of various ethnicities. The subjects were exposed to 25 carefully selected audio–visual stimuli to elicit specific targeted emotions. An analysis of the participants’ self-assessment and a list of the 25 stimuli utilised are also presented in this work. Emotion recognition systems are built using ECG and PPG data; five machine learning algorithms: support vector machine (SVM), k-nearest neighbour (KNN), naive Bayes (NB), decision tree (DT), and random forest (RF); and deep learning techniques. The performance of the systems built are presented and compared. The SVM was found to be the best learning algorithm for the ECG data, while RF was the best for the PPG data. The proposed database is available to other researchers.

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Sun, Yanjia, Hasan Ayaz, and Ali N. Akansu. "Multimodal Affective State Assessment Using fNIRS + EEG and Spontaneous Facial Expression." Brain Sciences 10, no. 2 (February 6, 2020): 85. http://dx.doi.org/10.3390/brainsci10020085.

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Human facial expressions are regarded as a vital indicator of one’s emotion and intention, and even reveal the state of health and wellbeing. Emotional states have been associated with information processing within and between subcortical and cortical areas of the brain, including the amygdala and prefrontal cortex. In this study, we evaluated the relationship between spontaneous human facial affective expressions and multi-modal brain activity measured via non-invasive and wearable sensors: functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) signals. The affective states of twelve male participants detected via fNIRS, EEG, and spontaneous facial expressions were investigated in response to both image-content stimuli and video-content stimuli. We propose a method to jointly evaluate fNIRS and EEG signals for affective state detection (emotional valence as positive or negative). Experimental results reveal a strong correlation between spontaneous facial affective expressions and the perceived emotional valence. Moreover, the affective states were estimated by the fNIRS, EEG, and fNIRS + EEG brain activity measurements. We show that the proposed EEG + fNIRS hybrid method outperforms fNIRS-only and EEG-only approaches. Our findings indicate that the dynamic (video-content based) stimuli triggers a larger affective response than the static (image-content based) stimuli. These findings also suggest joint utilization of facial expression and wearable neuroimaging, fNIRS, and EEG, for improved emotional analysis and affective brain–computer interface applications.

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Ray, Sonia Baloni. "Applications of Neuroscience for Managing Affective State at Workplace." NHRD Network Journal 11, no. 4 (October 2018): 63–70. http://dx.doi.org/10.1177/0974173918799138.

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This article is an effort to bridge the gap between two research fields, namely organisational behaviour and neuroscience. Organisational behaviour corresponds to the study of human behaviour at workplace, which is significantly modulated/controlled by the affective state of individuals. Neuroscience, on the other hand, is a multidisciplinary field of biology involved in the study of the nervous system. Research in the field of neuroscience has provided valuable insights into the mechanisms of emotion processing and psychopathologies of various affective disorders. These findings, although nascent, can be directly or indirectly extended in an organisational setting. This article begins with a review of different forms of emotions at workplace, followed by its implications in the productivity of an organisation. Further, this article explores the ways in which research in the field of neuroscience can be extended in an organisational setting to improve the overall affective state of individuals at workplace, thereby the efficacy of an organisation.

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Bailon, Carlos, Miguel Damas, Hector Pomares, Daniel Sanabria, Pandelis Perakakis, Carmen Goicoechea, and Oresti Banos. "Intelligent Monitoring of Affective Factors Underlying Sport Performance by Means of Wearable and Mobile Technology." Proceedings 2, no. 19 (October 18, 2018): 1202. http://dx.doi.org/10.3390/proceedings2191202.

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The fluctuation of affective states is a contributing factor to sport performance variability. The context surrounding athletes during their daily life and the evolution of their physiological variables beyond sport events are relevant factors, as they modulate the affective state of the subject over time. However, traditional procedures to assess the affective state are limited to self-reported questionnaires within controlled settings, thus removing the impact of the context. This work proposes a multimodal, context-aware platform that combines the data acquired through smartphones and wearable sensors to assess the affective state of the athlete. The platform is aimed at ubiquitously monitoring the fluctuations of affective states during longitudinal studies within naturalistic environments, overcoming the limitations of previous studies and allowing for the complete evaluation of the factors that could modulate the affective state. This system will also facilitate and expedite the analysis of the relationship between affective states and sport performance.

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Surguladze, Simon, Paul Keedwell, and Mary Phillips. "Neural systems underlying affective disorders." Advances in Psychiatric Treatment 9, no. 6 (November 2003): 446–55. http://dx.doi.org/10.1192/apt.9.6.446.

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Three main approaches are used to explore the neural correlates of mood disorder: neuropsychological studies, neuroimaging studies and post-mortem investigations. Lesion studies implicate disturbances in the frontal lobe, basal ganglia, striatum and anterior temporal cortex. Early neurocognitive and neuropathological investigations led to a ‘hypofrontality’ hypothesis of unipolar and bipolar depression, but functional neuroimaging has revealed a more complex picture. Thus, increased metabolism may occur in the subgenual anterior cingulate gyrus in resting-state studies of depression and sad-mood induction. Antidepressants may reduce this activity. Amygdala hyperactivation also is associated with affective disorders. Task-related studies reveal abnormal biases in memory, the experience of pleasure and the perception of emotional facial expressions. There is still little clarity whether the abnormalities in brain activation represent state or trait characteristics of affective disorders.

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Trnka, Susanna, and L. L. Wynn. "Affective Cartographies of Collective Blame." Anthropology in Action 30, no. 2 (June 1, 2023): 1–13. http://dx.doi.org/10.3167/aia.2023.300201.

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Abstract In both Aotearoa/New Zealand and Australia, COVID-19 lockdowns were enforced through public scrutiny of the movements of supposedly ‘irresponsible’ individuals. Denouncing their impact on public health created an affective cartography of collective blame uniting State and society in shared moral indignation. Produced through assemblages of mainstream and social media and government statements, such mediated spectacles engendered a sense of collective unity and shared purpose at a time when both collective cohesion and narratives of individual responsibility were of particular interest to the State. Spatio-temporal maps and diagrams of culpable contagion helped materialise the invisible movement of the virus but also enabled identification of the sick. Some bodies more than others were made to carry the morality of the collective enterprise of stopping the virus.

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Wass, Samuel Vincent, Celia Grace Smith, Kaili Clackson, Caitlin Gibb, Joan Eitzenberger, and Farhan Umar Mirza. "Parents Mimic and Influence Their Infant’s Autonomic State through Dynamic Affective State Matching." Current Biology 29, no. 14 (July 2019): 2415–22. http://dx.doi.org/10.1016/j.cub.2019.06.016.

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Beyers, Christiaan. "Moral Subjectivity and Affective Deficit in the Transitional State." Social Analysis 59, no. 4 (December 1, 2015): 66–82. http://dx.doi.org/10.3167/sa.2015.590405.

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In the context of transitional justice, how does the reinvented state come to be assumed as a social fact? South African land restitution interpellates victims of apartheid- and colonial-era forced removals as claimants, moral and legal subjects of a virtuous 'new' state. In the emotional narratives of loss and suffering called forth in land claim forms, the state is addressed as a subject capable of moral engagement. Claim forms also 'capture' affects related to the event of forced removals as an unstable political resource. However, within an ultimately legal and bureaucratic process, the desire for recognition is typically not reciprocated. Moreover, material settlements are indefinitely delayed due to political and institutional complications. The resulting disillusionment is counterweighed by persistent aspirations for state redress.

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M. M. Al Qudah, Mustafa, Ahmad S. A. Mohamed, and Syaheerah L. Lutfi. "Affective State Recognition Using Thermal-Based Imaging: A Survey." Computer Systems Science and Engineering 37, no. 1 (2021): 47–62. http://dx.doi.org/10.32604/csse.2021.015222.

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Neff, Jessica J., Janet Fulk, and Y. Connie Yuan. "Not in the Mood? Affective State and Transactive Communication." Journal of Communication 64, no. 5 (September 3, 2014): 785–805. http://dx.doi.org/10.1111/jcom.12109.

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Kuhbandner, Christof, and Reinhard Pekrun. "Affective State Influences Retrieval-Induced Forgetting for Integrated Knowledge." PLoS ONE 8, no. 2 (February 18, 2013): e56617. http://dx.doi.org/10.1371/journal.pone.0056617.

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