Log in

Relevant bibliographies by topics / Affective Biases / Journal articles

To see the other types of publications on this topic, follow the link: Affective Biases.

Journal articles on the topic 'Affective Biases'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Affective Biases.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Kaneko, Asuka, Yui Asaoka, Young-A. Lee, and Yukiori Goto. "Cognitive and Affective Processes Associated with Social Biases." International Journal of Neuropsychopharmacology 24, no. 8 (2021): 645–55. http://dx.doi.org/10.1093/ijnp/pyab022.

Full text

Abstract:

Abstract Background Our social activities are quite often erroneous and irrational, based on biased judgements and decision-making, known as social biases. However, the cognitive and affective processes that produce such biases remain largely unknown. In this study, we investigated associations between social schemas, such as social judgment and conformity, entailing social biases and psychological measurements relevant to cognitive and affective functions. Method This study recruited 42 healthy adult subjects. A psychological test and a questionnaire were administered to assess biased social

APA, Harvard, Vancouver, ISO, and other styles

2

Hughes, Christopher D., and Shireen L. Rizvi. "Biases in Affective Forecasting and Recall as a Function of Borderline Personality Disorder Features." Journal of Social and Clinical Psychology 38, no. 3 (2019): 200–223. http://dx.doi.org/10.1521/jscp.2019.38.3.200.

Full text

Abstract:

Introduction: The ability to predict emotional experiences, “affective forecasting,” is an essential factor in individuals' decision-making processes. Research has shown that, generally, individuals are inaccurate in their affective forecasts/recollections, and that certain psychological disorders may be related to individual differences in these inaccuracies, or biases. Understanding the role of affective biases in disorders characterized by emotion dysregulation, like Borderline Personality Disorder (BPD), may provide important information regarding the sources of said dysregulation. The pre

APA, Harvard, Vancouver, ISO, and other styles

3

Cerny, Brian M., Jonathan P. Stange, Leah R. Kling, et al. "Self-reported affective biases, but not all affective performance biases, are present in depression remission." British Journal of Clinical Psychology 58, no. 3 (2019): 274–88. http://dx.doi.org/10.1111/bjc.12217.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Wenze, Susan J., and Kathleen C. Gunthert. "Affective Forecasting Bias: Liability or Protective Factor?" Journal of Cognitive Psychotherapy 32, no. 4 (2018): 263–71. http://dx.doi.org/10.1891/0889-8391.32.4.263.

Full text

Abstract:

We examined whether affective forecasting biases prospectively predict depression and anxiety symptoms in the context of life stress. Participants (n = 72) completed– baseline measures of depression, anxiety, and mood predictions, followed by one week of ecological momentary assessments of mood. Three months later, they completed measures of depression, anxiety, and life stress. Neither positive nor negative mood prediction biases at baseline were associated with follow-up anxiety scores. Positive mood prediction biases were not associated with follow-up depression scores. However, the interac

APA, Harvard, Vancouver, ISO, and other styles

5

Chukwuani, V. N. "The Influence of Behavioural Biases on Audit Judgment and Decision Making." International Journal of Advanced Finance and Accounting 5, no. 2 (2024): 26–38. https://doi.org/10.5281/zenodo.13353275.

Full text

Abstract:

<em>This study investigates the influence of behavioural biases on audit judgment and decision-making, focusing on both cognitive and affective biases and their impact on audit outcomes. Behavioural biases, including mental accounting, availability, heuristic biases, and emotional factors, are identified as significant contributors to deviations from rational decision-making in auditing. The research employs a quantitative approach, utilizing survey data from 36 auditors in Nigeria, analysed through regression analysis to examine the relationship between these biases and auditors' judgment. Th

APA, Harvard, Vancouver, ISO, and other styles

6

Warriner, Amy Beth, and Victor Kuperman. "Affective biases in English are bi-dimensional." Cognition and Emotion 29, no. 7 (2014): 1147–67. http://dx.doi.org/10.1080/02699931.2014.968098.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Everaert, Jonas, Amit Bernstein, Jutta Joormann, and Ernst H. W. Koster. "Mapping Dynamic Interactions Among Cognitive Biases in Depression." Emotion Review 12, no. 2 (2020): 93–110. http://dx.doi.org/10.1177/1754073919892069.

Full text

Abstract:

Depression is theorized to be caused in part by biased cognitive processing of emotional information. Yet, prior research has adopted a reductionist approach that does not characterize how biases in cognitive processes such as attention and memory work together to confer risk for this complex multifactorial disorder. Grounded in affective and cognitive science, we highlight four mechanisms to understand how attention biases, working memory difficulties, and long-term memory biases interact and contribute to depression. We review evidence for each mechanism and highlight time- and context-depen

APA, Harvard, Vancouver, ISO, and other styles

8

Moons, Wesley G., Jacqueline M. Chen, and Diane M. Mackie. "Stereotypes: A source of bias in affective and empathic forecasting." Group Processes & Intergroup Relations 20, no. 2 (2016): 139–52. http://dx.doi.org/10.1177/1368430215603460.

Full text

Abstract:

People’s emotional states often depend on the emotions of others. Consequently, to predict their own responses to social interactions (i.e., affective forecasts), we contend that people predict the emotional states of others (i.e., empathic forecasts). We propose that empathic forecasts are vulnerable to stereotype biases and demonstrate that stereotypes about the different emotional experiences of race (Experiment 1) and sex groups (Experiment 2) bias empathic forecasts. Path modeling in both studies demonstrates that stereotype-biased empathic forecasts regarding how a target individual will

APA, Harvard, Vancouver, ISO, and other styles

9

Isato, Ayako, and Satoshi Mochizuki. "Attentional disengagement biases of affective words in dysphoria." JAPANESE JOURNAL OF RESEARCH ON EMOTIONS 19, no. 3 (2012): 81–89. http://dx.doi.org/10.4092/jsre.19.81.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Kawahara, Tsuyoshi, Yutaka Sato, and Motohiro Sakai. "Attentional disengagement biases of affective in Social Anxiety." Proceedings of the Annual Convention of the Japanese Psychological Association 83 (September 11, 2019): 3A—032–3A—032. http://dx.doi.org/10.4992/pacjpa.83.0_3a-032.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Wenze, Susan J., Kathleen C. Gunthert, and Ramaris E. German. "Biases in Affective Forecasting and Recall in Individuals With Depression and Anxiety Symptoms." Personality and Social Psychology Bulletin 38, no. 7 (2012): 895–906. http://dx.doi.org/10.1177/0146167212447242.

Full text

Abstract:

The authors used experience sampling to investigate biases in affective forecasting and recall in individuals with varying levels of depression and anxiety symptoms. Participants who were higher in depression symptoms demonstrated stronger (more pessimistic) negative mood prediction biases, marginally stronger negative mood recall biases, and weaker (less optimistic) positive mood prediction and recall biases. Participants who were higher in anxiety symptoms demonstrated stronger negative mood prediction biases, but positive mood prediction biases that were on par with those who were lower in

APA, Harvard, Vancouver, ISO, and other styles

12

Kosson, David S., Cami K. McBride, Steven A. Miller, Nastassia R. E. Riser, and Lindsay A. Whitman. "Attentional bias following frustration in youth with psychopathic traits." Journal of Experimental Psychopathology 9, no. 2 (2018): jep.060116. http://dx.doi.org/10.5127/jep.060116.

Full text

Abstract:

The emotional deficit perspective predicts that youth with psychopathic traits are relatively unresponsive to negative affective cues and display smaller attentional biases for affective stimuli following negative experiences than youth without psychopathic traits. In contrast, because the negative preception hypothesis predicts that youth with psychopathic traits learn to tune out negative affective experiences, it predicts that such youth exhibit greater attentional biases away from sadness-related stimuli following negative experiences than youth without psychopathic traits, and that these

APA, Harvard, Vancouver, ISO, and other styles

13

Kustabayeva, Almira, April Rose Panganiban, and Gerald Matthews. "Affective Biases in Information Search during Tactical Decision-Making." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 54, no. 14 (2010): 1057–61. http://dx.doi.org/10.1177/154193121005401402.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Malik, A., X. Wang, A. Finlayson, et al. "Effects of repeated intravenous esketamine administration on affective biases." Neuroscience Applied 1 (2022): 100211. http://dx.doi.org/10.1016/j.nsa.2022.100211.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Fox, Elaine, Anna Ridgewell, and Chris Ashwin. "Looking on the bright side: biased attention and the human serotonin transporter gene." Proceedings of the Royal Society B: Biological Sciences 276, no. 1663 (2009): 1747–51. http://dx.doi.org/10.1098/rspb.2008.1788.

Full text

Abstract:

Humans differ in terms of biased attention for emotional stimuli and these biases can confer differential resilience and vulnerability to emotional disorders. Selective processing of positive emotional information, for example, is associated with enhanced sociability and well-being while a bias for negative material is associated with neuroticism and anxiety. A tendency to selectively avoid negative material might also be associated with mental health and well-being. The neurobiological mechanisms underlying these cognitive phenotypes are currently unknown. Here we show for the first time that

APA, Harvard, Vancouver, ISO, and other styles

16

Moulds, David J., Jona Meyer, Janet F. McLean, and Vera Kempe. "Exploring effects of response biases in affect induction procedures." PLOS ONE 18, no. 5 (2023): e0285706. http://dx.doi.org/10.1371/journal.pone.0285706.

Full text

Abstract:

This study examined whether self-reports or ratings of experienced affect, often used as manipulation checks on the efficacy of affect induction procedures (AIPs), reflect genuine changes in affective states rather than response biases arising from demand characteristics or social desirability effects. In a between-participants design, participants were exposed to positive, negative and neutral images with valence-congruent music or sound to induce happy, sad and neutral mood. Half of the participants had to actively appraise each image whereas the other half viewed images passively. We hypoth

APA, Harvard, Vancouver, ISO, and other styles

17

Hughes, Christopher D., Alexandra M. King, Katharine Bailey, Maria C. Alba, Elizabeth Hoelscher, and Shireen L. Rizvi. "How Will You Feel on Valentine's Day? Affective Forecasting and Recall Biases as a Function of Anxiety, Depression, and Borderline Personality Disorder Features." Journal of Social and Clinical Psychology 41, no. 5 (2022): 491–516. http://dx.doi.org/10.1521/jscp.2022.41.5.491.

Full text

Abstract:

Introduction: The prediction of affective experiences, also known as affective forecasting, is an integral component of individuals’ decision-making processes. Yet, research consistently demonstrates that affective forecasts (AF) and recollections (AR) are generally inaccurate. Recent research has demonstrated distinct patterns of AF/R bias related to psychopathology. This study examined the relationship between AF/R and features of Borderline Personality Disorder (BPD), anxiety, and depression using Valentine's Day as the target event. Methods: Undergraduate students (N=263; 33% white; 63% fe

APA, Harvard, Vancouver, ISO, and other styles

18

Yager, Joel, Jerald Kay, and Kimberly Kelsay. "Clinicians’ Cognitive and Affective Biases and the Practice of Psychotherapy." American Journal of Psychotherapy 74, no. 3 (2021): 119–26. http://dx.doi.org/10.1176/appi.psychotherapy.20200025.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Hales, Claire A., Sarah A. Stuart, Michael H. Anderson, and Emma S. J. Robinson. "Modelling cognitive affective biases in major depressive disorder using rodents." British Journal of Pharmacology 171, no. 20 (2014): 4524–38. http://dx.doi.org/10.1111/bph.12603.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Park, Sang-Eon, Jisu Chung, Jeonghyun Lee, et al. "Digital assessment of cognitive-affective biases related to mental health." PLOS Digital Health 3, no. 8 (2024): e0000595. http://dx.doi.org/10.1371/journal.pdig.0000595.

Full text

Abstract:

With an increasing societal need for digital therapy solutions for poor mental health, we face a corresponding rise in demand for scientifically validated digital contents. In this study we aimed to lay a sound scientific foundation for the development of brain-based digital therapeutics to assess and monitor cognitive effects of social and emotional bias across diverse populations and age-ranges. First, we developed three computerized cognitive tasks using animated graphics: 1) an emotional flanker task designed to test attentional bias, 2) an emotional go-no-go task to measure bias in memory

APA, Harvard, Vancouver, ISO, and other styles

21

Chen, Vivian Hsueh Hua, Sarah Hian May Chan, and Yong Ching Tan. "Perspective-Taking in Virtual Reality and Reduction of Biases against Minorities." Multimodal Technologies and Interaction 5, no. 8 (2021): 42. http://dx.doi.org/10.3390/mti5080042.

Full text

Abstract:

This study examines the effect of perspective-taking via embodiment in virtual reality (VR) in improving biases against minorities. It tests theoretical arguments about the affective and cognitive routes underlying perspective-taking and examines the moderating role of self-presence in VR through experiments. In Study 1, participants embodied an ethnic minority avatar and experienced workplace microaggression from a first-person perspective in VR. They were randomly assigned to affective (focus on emotions) vs. cognitive (focus on thoughts) perspective-taking conditions. Results showed that in

APA, Harvard, Vancouver, ISO, and other styles

22

Schwager, Susanne, and Klaus Rothermund. "Counter-regulation triggered by emotions: Positive/negative affective states elicit opposite valence biases in affective processing." Cognition & Emotion 27, no. 5 (2013): 839–55. http://dx.doi.org/10.1080/02699931.2012.750599.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Wentura, Dirk, Philipp Müller, Klaus Rothermund, and Andreas Voss. "Counter-regulation in affective attentional biases: Evidence in the additional singleton paradigm." Quarterly Journal of Experimental Psychology 71, no. 5 (2018): 1209–18. http://dx.doi.org/10.1080/17470218.2017.1315147.

Full text

Abstract:

We investigated motivational influences on affective processing biases; specifically, we were interested in whether anticipating positive versus negative future outcomes during goal pursuit affects attentional biases toward positive or negative stimuli. Attentional valence biases were assessed with the additional singleton task, with the task-irrelevant singleton colors being positive, negative or neutral. The motivational relevance of colors was established in a preceding task: In a balanced design, one color acquired positive valence by indicating the chance to win money, and a different col

APA, Harvard, Vancouver, ISO, and other styles

24

Ehlers, Mana R., and Rebecca M. Todd. "Genesis and Maintenance of Attentional Biases: The Role of the Locus Coeruleus-Noradrenaline System." Neural Plasticity 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/6817349.

Full text

Abstract:

Emotionally arousing events are typically better remembered than mundane ones, in part because emotionally relevant aspects of our environment are prioritized in attention. Such biased attentional tuning is itself the result of associative processes through which we learn affective and motivational relevance of cues. We propose that the locus coeruleus-noradrenaline (LC-NA) system plays an important role in the genesis of attentional biases through associative learning processes as well as their maintenance. We further propose that individual differences in and disruptions of the LC-NA system

APA, Harvard, Vancouver, ISO, and other styles

25

David, Anthony S., and John C. Cutting. "Affect, Affective Disorder and Schizophrenia." British Journal of Psychiatry 156, no. 4 (1990): 491–95. http://dx.doi.org/10.1192/bjp.156.4.491.

Full text

Abstract:

Performance on a happy-sad chimeric face test was used to examine the role of right hemisphere activation in positive and negative affect, both normal and abnormal, as well as in schizophrenia. This test is known to elicit a left-sided perceptual bias in right-handed normal subjects. Happy and sad mood in normals did not influence the perceptual bias. Depression and mania were associated with reduced and increased biases respectively, while schizophrenics showed no bias to either side. Possible explanations are right hemisphere hyperfunction in mania, moderate relative hypofunction in depressi

APA, Harvard, Vancouver, ISO, and other styles

26

Frank, Michele L., and Vicky B. Hoffman. "How Audit Reviewers Respond to an Audit Preparer's Affective Bias: The Ironic Rebound Effect." Accounting Review 90, no. 2 (2014): 559–77. http://dx.doi.org/10.2308/accr-50873.

Full text

Abstract:

ABSTRACT Prior research suggests that audit seniors' judgments are sometimes biased by their affect toward (i.e., feeling of personally liking or disliking) client personnel. We examine how experienced audit reviewers respond when reviewing an audit preparer's judgment that appears to be biased by the preparer's affect toward a client's controller. In our experiment, reviewers are provided with a preparer's judgment that appears inconsistent with the audit workpapers. We then examine the effect of providing versus not providing reviewers with a cue about the preparer's positive or negative aff

APA, Harvard, Vancouver, ISO, and other styles

27

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

Full text

Abstract:

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-mo

APA, Harvard, Vancouver, ISO, and other styles

28

Crump, Andrew, Gareth Arnott, and Emily Bethell. "Affect-Driven Attention Biases as Animal Welfare Indicators: Review and Methods." Animals 8, no. 8 (2018): 136. http://dx.doi.org/10.3390/ani8080136.

Full text

Abstract:

Attention bias describes the differential allocation of attention towards one stimulus compared to others. In humans, this bias can be mediated by the observer’s affective state and is implicated in the onset and maintenance of affective disorders such as anxiety. Affect-driven attention biases (ADABs) have also been identified in a few other species. Here, we review the literature on ADABs in animals and discuss their utility as welfare indicators. Despite a limited research effort, several studies have found that negative affective states modulate attention to negative (i.e., threatening) cu

APA, Harvard, Vancouver, ISO, and other styles

29

Phua, Dong Haur, and Nigel CK Tan. "Cognitive Aspect of Diagnostic Errors." Annals of the Academy of Medicine, Singapore 42, no. 1 (2013): 33–41. http://dx.doi.org/10.47102/annals-acadmedsg.v42n1p33.

Full text

Abstract:

Diagnostic errors can result in tangible harm to patients. Despite our advances in medicine, the mental processes required to make a diagnosis exhibits shortcomings, causing diagnostic errors. Cognitive factors are found to be an important cause of diagnostic errors. With new understanding from psychology and social sciences, clinical medicine is now beginning to appreciate that our clinical reasoning can take the form of analytical reasoning or heuristics. Different factors like cognitive biases and affective influences can also impel unwary clinicians to make diagnostic errors. Various strat

APA, Harvard, Vancouver, ISO, and other styles

30

Mackinnon, Carol E., Michael E. Lamb, Jay Belsky, and Cynthia Baum. "An affective-cognitive model of mother-child aggression." Development and Psychopathology 2, no. 1 (1990): 1–13. http://dx.doi.org/10.1017/s0954579400000559.

Full text

Abstract:

AbstractThis article reviews literature that explains the development and maintenance of aggressive mother-child interactions using operant learning theory, highlighting limitations in its explanatory power. We also review research on the association between perceptions and the maintenance of aggressive interactions. An integrative, multipathway model of mother-child aggression is presented in which the affective-cognitive biases of mothers and children and measures of their coerciveness help explain and predict subsequent coercive interactions. We conclude with implications for intervention.

APA, Harvard, Vancouver, ISO, and other styles

31

Van Bavel, Jay J., Dominic J. Packer, and William A. Cunningham. "The Neural Substrates of In-Group Bias." Psychological Science 19, no. 11 (2008): 1131–39. http://dx.doi.org/10.1111/j.1467-9280.2008.02214.x.

Full text

Abstract:

Classic minimal-group studies found that people arbitrarily assigned to a novel group quickly display a range of perceptual, affective, and behavioral in-group biases. We randomly assigned participants to a mixed-race team and used functional magnetic resonance imaging to identify brain regions involved in processing novel in-group and out-group members independently of preexisting attitudes, stereotypes, or familiarity. Whereas previous research on intergroup perception found amygdala activity—typically interpreted as negativity—in response to stigmatized social groups, we found greater activ

APA, Harvard, Vancouver, ISO, and other styles

32

SHIRAYANAGI, Hirotoshi, Katsuya HIRANO, and Yuichi WADA. "ATTENTIONAL BIASES TOWARDS SHOP FACADES: MANIPULATION OF AFFECTIVE VALENCE AND STIMULUS DURATION." Journal of Japan Society of Civil Engineers, Ser. D1 (Architecture of Infrastructure and Environment) 71, no. 1 (2015): 71–82. http://dx.doi.org/10.2208/jscejaie.71.71.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Stuart, Sarah A., Paul Butler, Marcus R. Munafò, David J. Nutt, and Emma SJ Robinson. "A Translational Rodent Assay of Affective Biases in Depression and Antidepressant Therapy." Neuropsychopharmacology 38, no. 9 (2013): 1625–35. http://dx.doi.org/10.1038/npp.2013.69.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Grabenhorst, Fabian, and Edmund T. Rolls. "Attentional Modulation of Affective Versus Sensory Processing: Functional Connectivity and a Top-Down Biased Activation Theory of Selective Attention." Journal of Neurophysiology 104, no. 3 (2010): 1649–60. http://dx.doi.org/10.1152/jn.00352.2010.

Full text

Abstract:

Top-down selective attention to the affective properties of taste stimuli increases activation to the taste stimuli in the orbitofrontal cortex (OFC) and pregenual cingulate cortex (PGC), and selective attention to the intensity of the stimuli increases the activation in the insular taste cortex, but the origin of the top-down attentional biases is not known. Using psychophysiological interaction connectivity analyses, we showed that in the anterior lateral prefrontal cortex (LPFC) at Y = 53 mm the correlation with activity in OFC and PGC seed regions was greater when attention was to pleasant

APA, Harvard, Vancouver, ISO, and other styles

35

Aftanas, L. I., S. V. Pavlov, I. V. Brak, and V. V. Korenek. "INDIVIDUAL PRECONSCIOUS AFFECTIVE BIASES TO THREATENING AND APPETITIVE FACIAL STIMULI AND CARDIOVASCULAR STRESS-REACTIVITY." Annals of the Russian academy of medical sciences 68, no. 11 (2013): 83–93. http://dx.doi.org/10.15690/vramn.v68i11.848.

Full text

Abstract:

Aim: to investigate cardiovascular stress-reactivity in association with individual preconscious affective biases to threatening and appetitive facial stimuli. Patients and methods: preconscious affective biases were assessed in healthy individuals (n =38, mean age M =28,10 years, 1SD =8,64) using a modified (masked) version of a pictorial emotional Stroop task (backward masking of the angry, fearful and joyful faces). Results: it was revealed that individual preconscious bias to speeded up perception of angry faces correlates significantly with heightened anxiety, lowered platelet serotonin (

APA, Harvard, Vancouver, ISO, and other styles

36

Scherer, Klaus R., and Tobias Brosch. "Culture‐specific appraisal biases contribute to emotion dispositions." European Journal of Personality 23, no. 3 (2009): 265–88. http://dx.doi.org/10.1002/per.714.

Full text

Abstract:

We suggest that cultural factors may encourage the development of affective personality traits or emotional dispositions by producing or rewarding specific appraisal biases. To buttress this argument, we describe a putative mechanism and review the pertinent evidence: (a) an emotion disposition (trait affect) is a risk factor for experiencing certain emotions more readily and/or more frequently, (b) appraisal bias tends to cause certain emotions to be more readily experienced and may thus lead to the emergence of emotion dispositions and even emotional disturbances and (c) cultural goal, belie

APA, Harvard, Vancouver, ISO, and other styles

37

GENG, Xiaowei, and Hongyi JIANG. "Influence of regulatory focus and regulatory fit on impact biases in affective forecast." Acta Psychologica Sinica 49, no. 12 (2017): 1537. http://dx.doi.org/10.3724/sp.j.1041.2017.01537.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Bruce, J. M., D. Polen, and P. A. Arnett. "Pain and affective memory biases interact to predict depressive symptoms in multiple sclerosis." Multiple Sclerosis Journal 13, no. 1 (2007): 58–66. http://dx.doi.org/10.1177/1352458506070229.

Full text

Abstract:

A large literature supports a direct relationship between pain and depressive symptoms among various patient populations. Patients with multiple sclerosis (MS) frequently experience both pain and depression. Despite this, no relationship between pain and depression has been found in MS. The present investigation explored the relationship between pain and depression in a sample of patients with MS. Consistent with cognitive theories of depression, results supported the hypothesis that pain would only contribute to depression when MS patients exhibited a concomitant cognitive vulnerability. Cogn

APA, Harvard, Vancouver, ISO, and other styles

39

Schwager, Susanne, and Klaus Rothermund. "Motivation and affective processing biases in risky decision making: A counter-regulation account." Journal of Economic Psychology 38 (October 2013): 111–26. http://dx.doi.org/10.1016/j.joep.2012.08.005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Denkova, Ekaterina, Sanda Dolcos, and Florin Dolcos. "Reliving emotional personal memories: Affective biases linked to personality and sex-related differences." Emotion 12, no. 3 (2012): 515–28. http://dx.doi.org/10.1037/a0026809.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

RHODES, ROSAMOND, and JAMES J. STRAIN. "Further Thoughts about Affective Forecasting Biases in Medicine: A Response to Nada Gligorov." Cambridge Quarterly of Healthcare Ethics 18, no. 2 (2009): 174–76. http://dx.doi.org/10.1017/s0963180109090288.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Duley, Aaron R., David E. Conroy, Katherine Morris, Jennifer Wiley, and Christopher M. Janelle. "Fear of Failure Biases Affective and Attentional Responses to Lexical and Pictorial Stimuli." Motivation and Emotion 29, no. 1 (2005): 1–17. http://dx.doi.org/10.1007/s11031-005-4413-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Freeman, Daniel, Graham Dunn, David Fowler, et al. "Current Paranoid Thinking in Patients With Delusions: The Presence of Cognitive-Affective Biases." Schizophrenia Bulletin 39, no. 6 (2012): 1281–87. http://dx.doi.org/10.1093/schbul/sbs145.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Dam, V. N. H., D. S. Stenbæk, K. Köhler-Forsberg, et al. "P.346 Negative affective biases and other cognitive disturbances in major depressive disorder." European Neuropsychopharmacology 29 (December 2019): S246—S247. http://dx.doi.org/10.1016/j.euroneuro.2019.09.364.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Pabst, Arthur, Alexandre Heeren, and Pierre Maurage. "Socio-affective processing biases in severe alcohol use disorders: Experimental and therapeutic perspectives." Addictive Behaviors 106 (July 2020): 106382. http://dx.doi.org/10.1016/j.addbeh.2020.106382.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Vauclair, Jacques, and Céline Scola. "Infant-holding biases in mothers and affective symptoms during pregnancy and after delivery." Infant and Child Development 18, no. 2 (2009): 106–21. http://dx.doi.org/10.1002/icd.594.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

smith, faye l., Thomas H. Stone, Jennifer L. Kisamore, and I. M. Jawahar. "Decision-making biases and affective states: their potential impact on best practice innovations." Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration 27, no. 4 (2010): 277–91. http://dx.doi.org/10.1002/cjas.132.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Robinson, Emma S. J. "Translational new approaches for investigating mood disorders in rodents and what they may reveal about the underlying neurobiology of major depressive disorder." Philosophical Transactions of the Royal Society B: Biological Sciences 373, no. 1742 (2018): 20170036. http://dx.doi.org/10.1098/rstb.2017.0036.

Full text

Abstract:

Mood disorders represent one of society's most costly and challenging health burdens. The drug treatments used today were initially discovered serendipitously in the 1950s. Animal models were then developed based on the ability of these drugs to alter specific behaviours. These models have played a major role in the development of the second generation of antidepressants. However, their use has been heavily criticized, particularly in relation to whether they recapitulate similar underlying biology to the psychiatric disorder they are proposed to represent. This article considers our work in t

APA, Harvard, Vancouver, ISO, and other styles

49

Osuna, Enrique, Sergio Castellanos, Jonathan Hernando Rosales, and Luis-Felipe Rodríguez. "An Interoperable Framework for Computational Models of Emotion." International Journal of Cognitive Informatics and Natural Intelligence 16, no. 1 (2022): 1–15. http://dx.doi.org/10.4018/ijcini.296257.

Full text

Abstract:

Computational models of emotion (CMEs) are software systems designed to emulate specific aspects of the human emotions process. The underlying components of CMEs interact with cognitive components of cognitive agent architectures to produce realistic behaviors in intelligent agents. However, in contemporary CMEs, the interaction between affective and cognitive components occurs in ad-hoc manner, which leads to difficulties when new affective or cognitive components should be added in the CME. This paper presents a framework that facilitates taking into account in CMEs the cognitive information

APA, Harvard, Vancouver, ISO, and other styles

50

Chauhan, Rahul, and Neerav Patel. "Review Paper on Affective and Cognitive factors that affect banking Relationship with respect to Millennial." Journal of Advances in Accounting, Economics, and Management 1, no. 4 (2024): 1–11. http://dx.doi.org/10.47134/aaem.v1i4.293.

Full text

Abstract:

The aim of this paper is to explore the affective and cognitive factors that condition banking relationships for economically vulnerable consumers and how these factors contribute to increasing financial difficulties and exclusion. This research, performed on a set of focus groups, bases its findings on a combination of experimental and discourse analysis methods. Financial decisions are not rational and can be biased by affective and cognitive factors. Behavioural finance has focused very little on analysing how consumer biases influence relationships with banking institutions. Additionally,

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!