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Afectos, Historia y Cultura Visual : Una Aproximación Indisciplinada
| Afectos, Historia y Cultura Visual : Una Aproximación Indisciplinada |
| Autore | Depetris Chauvin Irene |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Buenos Aires : , : Prometeo Libros S. A., , 2020 |
| Descrizione fisica | 1 online resource (260 pages) |
| Altri autori (Persone) | TaccettaNatalia |
| Soggetto topico |
Affect (Psychology) in art
Emotions |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | spa |
| Nota di contenuto | Intro -- Índice -- AperturaAfectos, historia y cultura visual: una aproximación indisciplinada -- Silvan Tomkins, arte y afecto1 -- Interiores, exteriores: trauma, afecto y arte1 -- Explosiones de información, implosiones de significado y descarga de afectos -- Un archivo de imágenes emotivas -- Cómo seduce un cyborg. Mito, ironía y grotesco1 -- Las imágenes de Evita y la soberbia en la política Argentina reciente (2007-2015):Una revisita de la "estetización de la política" desde una perspectiva de género1 -- Imágenes seropositivas .Prácticas artísticas en torno al VIH durante los años noventa en Buenos Aires -- De la historia a la haecceidad:Reformulaciones espaciales del pasado en el cine post-patrimonial -- Travelogue afectivo y trabajo del duelo en un documental sobre Malvinas -- Poéticas de archivo. Acerca del melancólico operante -- Una historia femenina en el film Retratos de Identi ficação:Dora y los afectos contra el fascismo1. |
| Record Nr. | UNINA-9910838387603321 |
Depetris Chauvin Irene
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| Buenos Aires : , : Prometeo Libros S. A., , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Affect dynamics / / edited by Christian E. Waugh and Peter Kuppens
| Affect dynamics / / edited by Christian E. Waugh and Peter Kuppens |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (343 pages) |
| Disciplina | 152.4 |
| Soggetto topico |
Affect (Psychology) in art
Afecte (Psicologia) Afectivitat Emocions Actitud (Psicologia) Temps de reacció (Psicologia) Anàlisi de conducta |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-82965-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Introduction -- The Field of Affective Dynamics -- Time Is Not the Cause of Affective Dynamics -- This Volume -- Conclusion -- Contents -- About the Editors -- Part I: Within-Episode Dynamics -- Chapter 1: Emotion Duration -- 1.1 Introduction -- 1.2 What Is the Definition of Emotion Duration? -- 1.3 How Long Do Emotions Last? -- 1.4 What Determines the Duration of an Emotion? -- 1.4.1 What Happens at the Start Impacts How Long It Takes to Get to the End -- 1.4.2 Time Itself Does Not Heal All Wounds -- What Happens Over Time Matters -- 1.4.2.1 The Role of Attention -- 1.4.2.2 The Role of Appraisal Dynamics -- 1.5 Directions for Future Research -- 1.6 Concluding Statement -- References -- Chapter 2: Appraisal Dynamics: A Predictive Mind Process Model Perspective -- 2.1 Introduction -- 2.2 The Extended Process Model (EPM) of Emotion Regulation -- 2.3 The Predictive Mind (PM) Perspective -- 2.4 A Predictive Mind Process Model Perspective -- 2.5 Implications for Understanding Temporal Dynamics of Emotion and Emotion Regulation -- 2.6 Implications for Understanding Individual Differences and Clinical Phenomena -- 2.7 Concluding Comment -- References -- Chapter 3: The Neuroscience of Affective Dynamics -- 3.1 Introduction -- 3.1.1 Affective Chronometry -- 3.1.2 Neural, Peripheral, Subjective, and Behavioral Indicators of Emotion -- 3.1.3 Interim Summary -- 3.2 Parameter 1: Rise-Time -- 3.2.1 Critical Circuits -- 3.2.2 Modulators: What Influences Rise-Time? -- 3.3 Parameter 2: Intensity -- 3.3.1 Critical Circuits -- 3.3.2 Modulators: What Influences intensity? -- 3.4 Parameter 3: Duration -- 3.4.1 Critical Circuits -- 3.4.2 Modulators: What Influences Duration? -- 3.5 Conclusion -- References -- Part II: Between-Episode Dynamics -- Chapter 4: Emotional Inertia: On the Conservation of Emotional Momentum.
4.1 Introduction -- 4.1.1 Historical Origins of Emotional Inertia -- 4.2 Quantifying Emotional Inertia -- 4.2.1 The Multilevel AR(1) Model: Individual Differences in Emotional Inertia -- 4.2.1.1 Extensions to the Multilevel AR(1) Model -- 4.2.1.2 Relations Between Emotional Inertia and Other Indices of Affect Dynamics -- 4.3 Empirical Findings -- 4.3.1 Depression -- 4.3.1.1 Inertia of Non-Emotional Processes and Depression -- 4.3.1.2 Inconsistent Findings Regarding the Depression-Inertia Association -- 4.3.1.3 Inertia of PA in Relation to Anhedonia -- 4.3.1.4 Moderators of the Depression-Inertia Association -- 4.3.1.5 Inertia as a Marker of Depression Vulnerability -- 4.3.2 Other Forms of Psychopathology -- 4.3.2.1 Psychosis -- 4.3.2.2 Borderline Personality Disorder -- 4.3.2.3 Post-traumatic Stress Disorder -- 4.3.2.4 Eating Disorders -- 4.3.3 Personality, Demographics and Other Individual Differences -- 4.3.3.1 Big Five Personality Traits -- 4.3.3.2 Age -- 4.3.3.3 Gender -- 4.3.3.4 Relationship Factors -- 4.3.3.5 Emotional Intelligence -- 4.4 Mechanisms Underlying Emotional Inertia -- 4.4.1 Genetic Influences -- 4.4.2 Physiological Processes -- 4.4.3 Neural Processes -- 4.4.4 Psychological Processes -- 4.5 Interventions to Modify Emotional Inertia -- 4.5.1 Mindfulness -- 4.5.2 Exercise and Alcohol -- 4.6 Within-Person Changes in Emotional Inertia -- 4.6.1 Application of Dynamical Systems Theory -- 4.6.1.1 Inertia as a Marker of Critical Slowing Down -- 4.7 Open Questions and Future Directions -- 4.7.1 Is Emotional Inertia Merely a Surface Phenomenon? -- 4.7.2 (When) Is Emotional Inertia Maladaptive? -- 4.7.3 Towards a Standard Modelling Approach -- 4.8 Concluding Remarks -- References -- Chapter 5: A Close Look at the Role of Time in Affect Dynamics Research -- 5.1 Introduction -- 5.2 The Role(s) of Time in Affect Dynamics. 5.3 Time-Related Considerations in Affect Dynamics Research -- 5.3.1 Choosing the Appropriate Time Scale -- 5.3.1.1 Example Study 1 -- 5.3.1.2 Special Consideration for Lag Lengths -- 5.3.1.3 Example Study 2 -- 5.3.2 Considering Linear and/or Cyclical Time Effects -- 5.3.3 Modeling Within-Individual Variability in Affect Dynamics -- 5.4 Concluding Thoughts -- References -- Chapter 6: Affect Dynamics and Time Scales: Pictures of Movies -- 6.1 Introduction -- 6.2 Real Time -- 6.3 Daily Experiences -- 6.3.1 Affect -- 6.3.2 Transitions -- 6.4 Conclusions -- 6.4.1 Dynamic or Variable? -- 6.4.2 Dynamics and Intensity -- 6.4.3 Multiple Time Scales -- References -- Chapter 7: On the Signal-to-Noise Ratio in Real-Life Emotional Time Series -- 7.1 Introduction -- 7.2 What Is the Signal-to-Noise Ratio of a Time Series? -- 7.3 Determinants of the Signal-to-Noise Ratio -- 7.3.1 Recovering the Latent AR Parameter: Temporal Measurement Resolution -- 7.3.2 Maximizing the Event-Specific Noise Term: Strong Contextual Stimuli -- 7.3.3 Reducing Momentary Measurement Noise: Assessing Measurement Error -- 7.4 Combining Different Strategies to Improve the Signal-to-Noise Ratio -- 7.4.1 Interdependencies Among Design Strategies -- 7.4.2 Design Strategy Implementation Constraints -- 7.5 Conclusion -- References -- Part III: Between-Person Dynamics -- Chapter 8: Emotion Dynamics in Intimate Relationships: The Roles of Interdependence and Perceived Partner Responsiveness -- 8.1 Introduction -- 8.2 Why and How Do Partners Impact Each Other's Emotions? -- 8.3 Interpersonal Emotion Dynamics: State of the Art -- 8.3.1 Interpersonal Emotion Dynamics in Relationship Science -- 8.3.2 Interpersonal Emotion Dynamics in Emotion Science -- 8.4 The Rise of Research on Interpersonal Emotion Dynamics -- 8.5 Challenges in Studying Interpersonal Emotion Dynamics. 8.6 Underlying Assumptions About Interpersonal Emotion Dynamics and Well-Being -- 8.7 Introducing Perceived Partner Responsiveness to Interpersonal Emotion Dynamics -- 8.8 Implications and Future Directions -- 8.8.1 Widening the Scope of Interpersonal Emotion Dynamics -- 8.8.2 The Importance of Perceptions -- 8.8.3 The Need for More Diverse and Clinical Samples -- 8.8.4 A Focus on Mechanisms -- 8.9 Conclusion -- References -- Chapter 9: A Mutualism, Affiliation and Status Seeking (MASS) Framework of Fundamental Affective Dynamics and Their Survival Benefits -- 9.1 Introduction -- 9.2 Six Benefits of Group Living -- 9.2.1 Reproduction and Offspring Survival -- 9.2.2 Anti-predation and Protection -- 9.2.3 Sustenance -- 9.2.4 Social Learning and Information Sharing -- 9.2.5 Wellbeing and Belonging -- 9.2.6 Collective Intelligence -- 9.3 Why a New Theory of Social Motives? -- 9.4 Three Core Social drives: Mutualism, Affiliation and Status-Seeking (MASS) -- 9.5 MASS Linked Affective Dynamics -- 9.6 Mutualism -- 9.6.1 Collaboration, Cooperation and Trust -- 9.6.2 Altruistic and Third Party Punishment -- 9.6.3 Morality and Shared Values -- 9.7 Affiliation -- 9.7.1 Assimilation -- 9.7.2 Belonging -- 9.7.3 Allegiance and In-Group Favoritism -- 9.7.4 Selective Bonding -- 9.8 Status Seeking -- 9.8.1 Status as Social "Currency" -- 9.8.2 Status Signaling and Conspicuous Consumption -- 9.8.3 Value Seeking and Reputation Management -- 9.9 Competition -- 9.10 Linking Drives to Group Living Success and Survival -- 9.11 Concluding Remarks -- References -- Part IV: Computational Models of Affect -- Chapter 10: Computational Models for Affect Dynamics -- 10.1 Introduction -- 10.1.1 Why Computational Models? -- 10.1.2 Characteristics of Affective Time Series -- 10.2 Discrete-Time Models -- 10.2.1 Autoregressive Models -- 10.2.1.1 The Autoregressive Model. 10.2.1.2 The Vector Autoregressive Model -- 10.2.1.3 Network Models -- 10.2.1.4 Extensions -- 10.2.2 Reinforcement Learning -- 10.2.2.1 Computational Model of Happiness -- 10.2.2.2 Integrated Advantage Model of Mood -- 10.2.2.3 Limitations -- 10.3 Continuous-Time Models -- 10.3.1 Differential Equations -- 10.3.1.1 Interpretation -- 10.3.2 Linear models -- 10.3.2.1 Continuous-Time VAR -- 10.3.2.2 Damped Linear Oscillator -- 10.3.2.3 Reservoir Model -- 10.3.3 Nonlinear Models -- 10.3.3.1 Catastrophe Theory -- 10.3.3.2 Affective Ising Model -- 10.3.3.3 Chaos -- 10.3.4 Limitations -- 10.4 Conclusion -- 10.4.1 Undiscussed Topics -- 10.4.2 Final Note -- Appendix 1: Properties of the VAR -- Properties of the AR Model -- Properties of the VAR Model -- Appendix 2: Autocorrelation of Bivariate VAR -- References -- Chapter 11: Flexibility and Adaptivity of Emotion Regulation: From Contextual Dynamics to Adaptation and Control -- 11.1 Introduction -- 11.2 Dynamics for Contextual Flexibility in Emotion Regulation -- 11.2.1 Contextual Flexibility in Emotion Regulation -- 11.2.2 Simulated Scenarios for Contextual Flexibility in Emotion Regulation -- 11.2.2.1 The Computational Network Model for Contextual Flexibility -- 11.2.2.2 Four Simulated Example Scenarios Addressed for Contextual Flexibility -- 11.3 Plasticity in Emotion Regulation -- 11.3.1 Adapting how to regulate emotions over time -- 11.3.2 Simulated Scenarios for Plasticity in Emotion Regulation -- 11.3.2.1 A First-Order Adaptive Network Model for Plasticity in Emotion Regulation -- 11.3.2.2 A Simulated Example Scenario Addressing Plasticity in Emotion Regulation -- 11.4 Higher-Order Adaptation in Emotion Regulation -- 11.4.1 Metaplasticity in Emotion Regulation -- 11.4.2 Simulated Scenarios for Metaplasticity in Emotion Regulation. 11.4.2.1 A Second-Order Adaptive Network Model for Metaplasticity in Emotion Regulation. |
| Record Nr. | UNINA-9910510579803321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
