Academic literature on the topic 'Affective Biases'

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Journal articles on the topic "Affective Biases"

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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.

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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
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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.

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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
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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.

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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.

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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
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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.

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<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
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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.

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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.

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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
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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.

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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
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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.

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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.

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Dissertations / Theses on the topic "Affective Biases"

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Hagman, William. "Affective Biases and Heuristics in Decision Making : Emotion regulation as a factor for decision making competence." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-96364.

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Stanovich and West (2008) explored if measures of cognitive ability ignored some important aspects of thinking itself, namely that cognitive ability alone is not enough to generally prevent biased thinking. In this thesis a series of decision making (DM) tasks is tested to see if emotion regulation (ER) is a factor for the decision process and therefore should be a measured in decision making competence. A set of DM tasks was compiled involving both affective and cognitive dimensions. 400 participants completed an online web-survey. The results showed that ER ability was significantly associat
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Sanchez, Janice Lynn. "Interpersonal affective forecasting." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:6946943f-30fb-48e2-9c73-a44ec69bd2d0.

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This thesis investigates individual and interpersonal predictions of future affect and explores their relation to implicit theories of emotion, prediction recall, debiasing, and focalism. Studies 1, 2, and 3 assessed affect predictions to upcoming reasoning tests and academic results, and Studies 4, 5, and 6 concerned predictions for self-identified events. The first study investigated the influence of implicit theories of emotion (ITE; Tamir, John, Srivastava, & Gross, 2007) on impact bias and prediction recall manipulating ITE between participant pairs who predicted and reported their affect
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Wilcockson, Thomas. "Exploring substance abuse : factors affecting attentional biases and automaticity." Thesis, Lancaster University, 2013. http://eprints.lancs.ac.uk/74473/.

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Wilcockson, Thomas Daniel Webb. "Exploring substance abuse : factors affecting attentional biases and automaticity." Thesis, Swansea University, 2013. https://cronfa.swan.ac.uk/Record/cronfa43144.

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There is a distinction between physiological and psychological aspects of addiction. Both of which are important for the development and maintenance of substance abuse. Within psychological aspects of addiction, attention and learning may play integral roles in substance abuse behaviour. This thesis explores how an environment seems to become increasingly occupied by substance-related stimuli, as a result of substance use (Chapter 5). It is demonstrated how such stimuli are able to initially attract attention (Chapter 2.6) and such attentional biases are difficult to inhibit (Chapter 2). Such
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Clegg, Isabella louisa. "Developing welfare parameters for bottlenose dolphins (Tursiops truncatus) under human care." Thesis, Sorbonne Paris Cité, 2017. http://www.theses.fr/2017USPCD055/document.

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La science du bien-être animal est une discipline bien établie qui permet de faire des mesures objectives. Les grands dauphins (Tursiops truncatus) sont une espèce de cétacés communément présente en captivité, et bien que des questions se posent sur la qualité de leur vie dans cet environnement, très peu d'études ont porté sur la mesure objective de leur bien-être. Cette thèse répond à ce manque de données en développant des indicateurs de bien-être basé sur l’animal, ici le grand dauphin. Une revue bibliographique initiale a identifié des mesures potentielles de bien-être, avant que des indic
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Sheikh, Rohani Saeid. "Acquiring fear and threat related attentional biases through informational learning." Thesis, University of Sussex, 2012. http://sro.sussex.ac.uk/id/eprint/38613/.

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Research has found that threat related attentional biases towards novel animals can be induced in children by giving threat information about the animals. Naturally occurring (i.e. non-induced) threat related attentional biases have also been found in both children and adults in the past research. The naturally occurring threat stimuli mainly include phobia stimuli and the threat stimuli that are assumed to have evolutionary roots (e.g., threatening facial expressions, and poisonous animals). In the present research, induced and naturally occurring threat related attentional biases were invest
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Destrez, Alexandra. "Accumulation d'émotions et modifications de la sensibilité émotionnelle et des fonctions cognitives chez les ovins." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2012. http://tel.archives-ouvertes.fr/tel-00798018.

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La question du bien-être de l'animal ne se pose que si on lui reconnaît le statut d'être sensible, capable de ressentir des émotions. Les émotions dépendent de processus cognitifs qu'entreprend l'animal pour évaluer son environnement. Pour comprendre le passage des émotions à un état de bien-être, nous avons étudié si ces processus cognitifs peuvent être biaisés par les émotions, lesquelles en retour seraient modulées durablement. Un modèle de stress chronique a été développé sur ovins : des agnelles sont exposées de manière répétée à des évènements aversifs, imprévisibles et incontrôlables. L
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Hoover, Gina M. "A Motivational Account of the Impact Bias." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1305824971.

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Marshall, Shedden Anna. "Impact Bias och Empathy Gaps : - en studie om skillnader mellan känslor och preferenser." Thesis, Linnéuniversitetet, Institutionen för pedagogik, psykologi och idrottsvetenskap, PPI, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-24827.

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Syftet med föreliggande studie var att försöka reda i litteraturen kring två välkända begrepp inom Affective Forecasting nämligen Impact Bias, som innebär att människor har en tendens att överskatta i vilken utsträckning de kommer att uppleva en viss känsla i en framtida situation än vad som senare visar sig vara fallet, och Empathy Gaps, som innebär att människor har en tendens att underskatta i vilken grad känslotillstånd kommer att påverka deras preferenser i en framtida situation samt pröva dessa begrepp i en och samma enkätundersökning. Etthundra sextiotvå studenter, slumpvist uppdelade i
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Werhan, Luke. "The affective forecasting bias in depressed and non-depressed groups." Connect to resource, 2009. http://hdl.handle.net/1811/37233.

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Books on the topic "Affective Biases"

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Bucknill, Sarah C. M. Factors affecting the choice of advanced level mathematics:is there a gender bias?: (MA Education dissertation). [University of Surrey], 1996.

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Epstein, Joshua M. Introduction. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691158884.003.0001.

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This book describes an agent-based model dubbed Agent_Zero, which was constructed using a significant volume of contemporary cognitive neuroscience. Agent_Zero is a new theoretical entity that exhibits observable behaviors generated by the interaction of affective, cognitive, and social components. Its affective component is based on the Rescorla–Wagner model of conditioning and extinction, while its cognitive (deliberative) component reflects biases and heuristics in probability estimation. The book presents Agent_Zero as a new, neurocognitively grounded, foundation for generative social scie
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Ricciardi, Victor. The Financial Psychology of Players, Services, and Products. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190269999.003.0002.

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This chapter provides an overview of the emerging cognitive and emotional themes of behavioral finance that influence individual behavior. The behavioral finance perspective of risk incorporates both qualitative (subjective) and quantitative (objective) aspects of the decision-making process. An emerging subject of research interest and investigation in behavioral finance is the inverse (negative) relation between perceived risk and expected return (perceived return). The chapter highlights important topics such as representativeness, framing, anchoring, mental accounting, control issues, fami
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Krzych, Scott. Beyond Bias. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197551219.001.0001.

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“Bias” is a term that circulates frequently in the contemporary landscape of political media, a term intended to diagnose a failure when media outlets fail to maintain journalistic objectivity. Beyond Bias interrogates what would seem, at first glance, to be examples of utterly biased political media—contemporary conservative documentary films. However, rather than dismiss such cases of political representation as exemplars of ideological nonsense, reactionary propaganda, and so on, Beyond Bias locates in conservative media a mode of discourse central to contemporary democratic debate in the U
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The Affective Curriculum: Teaching the Anti-Bias Approach to Young Children. Delmar Publishers, 1995.

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Duley, Aaron R. Affective information processing and anxiety: Attentional bias and short-lead interval startle modification. 2005.

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Wiers, Reinout W., Kristen G. Anderson, Bram Van Bockstaele, Elske Salemink, and Bernhard Hommel. Affect, Dual-Processing, Developmental Psychopathology, and Health Behaviors. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190499037.003.0008.

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This chapter discusses dual-process models of (health) behaviors, regarding both their recent criticisms and implications for health interventions. It agrees with critics that impulsive and reflective processes should not be equated with specific brain processes, but that psychological processes are emergent properties of the dynamic unfolding interplay between different neural systems. It maintains that at a psychological level of description, these models can still be useful to understand challenges to health behaviors and possible interventions. Affective processes can influence impulsive d
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Mendes, Wendy Berry, and Keely A. Muscatell. Affective Reactions as Mediators of the Relationship Between Stigma and Health. Edited by Brenda Major, John F. Dovidio, and Bruce G. Link. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190243470.013.10.

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This chapter provides an overview of how emotions can contribute to poorer health among stigmatized populations. First, it describes some of the primary affective responses that stigmatized individuals might experience, including externalizing emotions, uncertainty, and anxious affect. These affective responses can occur as a result of interacting with individuals who display subtle or overt signs of bias or perceiving a system as unfair, or they can occur from expectations based on prior experiences that shape perception. Second, this chapter reviews how these affective states may alter under
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Ernst, Ekkehard,, François, Langot, Rossana, Merola, and Fabien, Tripier. What is driving wealth inequality in the United States of America? the role of productivity, taxation and skills. International Labour Office, 2024. http://dx.doi.org/10.54394/ahfp2990.

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Out of four major structural changes affecting the US economy – namely a rising share of skilled workers, skill-biased technological change, decreasing progressiveness of taxation and productivity slowdown – we show that the decline in productivity growth not only is the main driver of the widening wealth disparities observed in the United States of America over the past few decades, but is also the only mechanism that can explain inequalities both within and between skill groups.
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Bucknill, Sarah C. M. Factors affecting the choice of advanced level mathematics: Is there a gender bias? 1996.

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Book chapters on the topic "Affective Biases"

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Robinson, E. S. J., and J. P. Roiser. "Affective Biases in Humans and Animals." In Translational Neuropsychopharmacology. Springer International Publishing, 2015. http://dx.doi.org/10.1007/7854_2015_5011.

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Croskerry, Pat. "Cognitive and Affective Biases, and Logical Failures." In Diagnosis. CRC Press, 2017. http://dx.doi.org/10.1201/9781315116334-7.

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Proverbio, Alice Mado. "EEG and ERPs in the Study of Language and Social Knowledge." In Social and Affective Neuroscience of Everyday Human Interaction. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08651-9_12.

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AbstractEvent-related potentials (ERPs) represent the ideal methodological approach for investigating the time course of language reading and comprehension processes. In this chapter, various ERP components reflecting orthographic, phonological, semantic, and syntactic processing of written and auditory language are examined. Furthermore, data are shown of how ERPs can reflect stereotypes, prejudices and world knowledge, including people’s social traits and attributes. In particular, several recent neuroimaging and electrophysiological studies are presented investigating the neural underpinnin
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du Boulay, Benedict. "Artificial Intelligence in Education and Ethics." In Handbook of Open, Distance and Digital Education. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-2080-6_6.

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AbstractThis chapter traces the ethical issues around applying artificial intelligence (AI) in education from the early days of artificial intelligence in education in the 1970s to the current state of this field, including the increasing sophistication of the system interfaces and the rise in data use and misuse. While in the early days most tools were largely learner-facing, now there are tools that are teacher-facing, supporting their management of the classroom, and administrator-facing, assisting in their management of cohorts of students. Learner-facing tools now take into account the af
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Resano, Dolores. "Introduction: On the Meanings of ‘American Reality’." In American Literature Readings in the 21st Century. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-73858-7_1.

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AbstractThis chapter begins by considering the dominant affective state that came into being after the election of Trump in 2016, namely shock and disbelief, and contextualizes it through two opposed yet complementary impulses. First, it illustrates how political and cultural derealization was actively promoted by Trump himself and his administration, to then consider the liberal biases that were already implicit in the widespread perception that reality was collapsing. In the context of the emergence of two and seemingly irreconcilable American realities, ever more polarized along partisan li
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du Boulay, Benedict. "Artificial Intelligence in Education and Ethics." In Handbook of Open, Distance and Digital Education. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0351-9_6-1.

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AbstractThis chapter traces the ethical issues around applying artificial intelligence (AI) in education from the early days of artificial intelligence in education in the 1970s to the current state of this field, including the increasing sophistication of the system interfaces and the rise in data use and misuse. While in the early days most tools were largely learner-facing, now there are tools that are teacher-facing, supporting their management of the classroom, and administrator-facing, assisting in their management of cohorts of students. Learner-facing tools now take into account the af
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du Boulay, Benedict. "Artificial Intelligence in Education and Ethics." In Handbook of Open, Distance and Digital Education. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0351-9_6-2.

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AbstractThis chapter traces the ethical issues around applying artificial intelligence (AI) in education from the early days of artificial intelligence in education in the 1970s to the current state of this field, including the increasing sophistication of the system interfaces and the rise in data use and misuse. While in the early days most tools were largely learner-facing, now there are tools that are teacher-facing, supporting their management of the classroom, and administrator-facing, assisting in their management of cohorts of students. Learner-facing tools now take into account the af
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Sato, Wataru. "The Neurocognitive Mechanisms of Unconscious Emotional Responses." In Social and Affective Neuroscience of Everyday Human Interaction. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08651-9_2.

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AbstractThe neurocognitive mechanism of emotion without conscious awareness has long been a subject of great interest (Pribram KH, Gill MM, Freud’s “project” re-assessed: preface to contemporary cognitive theory and neuropsychology. Basic Books, 1976). Several pervious psychological studies have used subliminal presentations of emotional facial expressions in the context of the affective priming paradigm to investigate unconscious emotional processing (e.g., Murphy ST, Zajonc RB, J Person Soc Psychol 64:723–739, 1993; for a review, see Eastwood JD, Smilek D, Conscious Cognit 14:565–584, 2005).
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Cabitza, Federico. "Biases Affecting Human Decision Making in AI-Supported Second Opinion Settings." In Modeling Decisions for Artificial Intelligence. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26773-5_25.

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Raposo, Nicolás González. "Memory Distortions: An Interdisciplinary Framework for Cognitive-Affective Bias." In Affectivity and Learning. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-31709-5_27.

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Conference papers on the topic "Affective Biases"

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Guttenplan, Jack D., and Daniel R. Violette. "Corrosion-Related Problems Affecting Electronic Circuitry and Components - Case Histories." In CORROSION 1989. NACE International, 1989. https://doi.org/10.5006/c1989-89332.

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Abstract Electronic circuitry and components are subject to a variety of corrosion-related problems. Many of these problems are well documented in the literature and remedial measures are known. However, failures continue to plague us. These problems include electrical shorts due to tin whiskers, disappearing nichrome in film resistors, reverse bias effects in electrolytic capacitors, fretting corrosion in solder-plated grounding paths, corrosion in a contaminated degreaser, and corrosion caused by flux residues. Case histories of a number of these problems and their resolution are presented.
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Valverde, Nuno Miguel Pereira dos Anjos, and Simon Schütte. "Achieving Customer Acceptance of Novel Product Features by Offering Customer Delight." In 9th International Conference on Kansei Engineering and Emotion Research (KEER2022). Kansei Engineering and Emotion Research (KEER), 2022. http://dx.doi.org/10.5821/conference-9788419184849.06.

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Today’s markets often offer different product solutions to the same customer need. In particular, new products offer new features requiring new customer behavior. This is typically driven by technology push, environmental concerns, or legal requirements. Due to inconvenience users do not easily change their behavior and thereby reject novel products unless they offer an obvious delight in the eyes of the user. Product developers need to take this in account when designing products. Tools such as UX, Kansei Engineering and Kano model are amongst those supporting product practitioners. This is e
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Rodrigues, Diego Dimer, and Mariana Recamonde-Mendoza. "Bias Propagation in Health AI: Measuring Pre-Training Bias and Its Effect on Machine Learning Model Outcomes." In Simpósio Brasileiro de Computação Aplicada à Saúde. Sociedade Brasileira de Computação - SBC, 2025. https://doi.org/10.5753/sbcas.2025.7143.

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Machine learning (ML) has become an essential tool in healthcare, supporting diagnosis, prognosis, and treatment decisions. However, biases present in pre-training data can compromise both model performance and fairness, disproportionately affecting underrepresented groups. This study systematically examines the impact of four pre-training bias metrics on the accuracy of three ML models across four health-related datasets. Our findings show that more data does not necessarily translate to better performance, particularly when data imbalance and bias are present. Moreover, pre-training bias met
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May, James G. "Temporal factors affecting the square-wave illusion." In OSA Annual Meeting. Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.tuy29.

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Viewing a vertical triangle-wave grating often gives rise to the perception of a corrugated surface with alternating bars that approximate a square-wave luminance profile. This square-wave illusion contains other bistable aspects. Adjacent bars appear to be offset in depth, and the corrugated surface appears to be illuminated from one side or the other. Drifting the grating to the right or left biases the direction of apparent illumination. In the present investigation, a triangle-wave with a spatial frequency of 0.25 c/d was phase-alternated (180) at various rates. The first finding was that
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Guerra, Alberto. "Mitigation of Cognitive Biases in Innovative Software Engineering Projects: A Proposal." In Congresso Ibero-Americano em Engenharia de Software. Sociedade Brasileira de Computação, 2025. https://doi.org/10.5753/cibse.2025.35314.

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Cognitive biases are critical in software engineering (SE) affecting replanning, failures and even cancellations. This work aims to identify and mitigate cognitive biases in the management of innovative projects in SE, in a large multinational company. Using the Design Science Research (DSR) method, a (1) Systematic Literature Review (SLR) will be carried out, (2) complementary research, (3) study of technological alternatives and (4) application of an artifact in the company’s project portfolio to identify the behavior of the five most impactful biases in SE, proposing a framework with practi
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Shen, Judy Hanwen, Agata Lapedriza, and Rosalind W. Picard. "Unintentional affective priming during labeling may bias labels." In 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2019. http://dx.doi.org/10.1109/acii.2019.8925466.

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Богачева, И. Г. "THE DEVELOPMENT OF CRITICAL THINKING IN THE CONTEXT OF CONTINUING EDUCATION." In Актуальные вопросы развития личности профессионала: идентичность в контексте межкультурной коммуникации: сборник материалов Международного психологического форума. Crossref, 2024. http://dx.doi.org/10.55000/ipsf.2024.90.89.012.

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Современное представление понятия критического мышления многозначно. Критическое мышление, являясь продолжением ранее введенного Джоном Дьюи понятия «рефлексивного мышления», определяемого им как активное, детальное и тщательное рассмотрение любой информации или убеждений в свете оснований и последствий, к которым они ведут, показывает, что мыслитель, обдумывая проблему или вопрос, делая выводы и генерируя объяснение или решение, основанное на этой информации, проходит через процесс сбора, интерпретации, анализа и оценки информации. Перечислим аффективные диспозиции, которые поддерживают крити
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Cohen, Eli. "Observations on Arrogance and Meaning: Finding Truth in an Era of Misinformation." In InSITE 2024: Informing Science + IT Education Conferences. Informing Science Institute, 2024. http://dx.doi.org/10.28945/5298.

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The paper discusses various factors contributing to disagreements, such as differing experiences, perspectives, and historical narratives, leading to disagreements within families and societies. It explores how beliefs, values, and biases feed into disagreements, with confirmation bias affecting decision-making and the media. Cultural values also play a role, showcasing conflicts between meritocracy and inclusivity in ethical decision-making. Haidt's Moral Foundations Theory highlights differences in value priorities between Western and Eastern societies. The impact of Western values like rati
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Zanna, Khadija, Kusha Sridhar, Han Yu, and Akane Sano. "Bias Reducing Multitask Learning on Mental Health Prediction." In 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2022. http://dx.doi.org/10.1109/acii55700.2022.9953850.

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Cheng, Jie. "Subliminal Affective Priming of Internet Emotions Influences Attentional Bias." In 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/icmess-18.2018.263.

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Reports on the topic "Affective Biases"

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George and Hawley. PR-015-09605-R01 Extended Low Flow Range Metering. Pipeline Research Council International, Inc. (PRCI), 2010. http://dx.doi.org/10.55274/r0010728.

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Natural gas meters are often used to measure flows below their minimum design flow rate. This can occur because of inaccurate flow projections, widely varying flow rates in the line, a lack of personnel available to change orifice plates, and other causes. The use of meters outside their design ranges can result in significant measurement errors. The objectives of this project were to examine parameters that contribute to measurement error at flow rates below 10% of a meters capacity, determine the expected range of error at these flow rates, and establish methods to reduce measurement error i
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Kaitlin, Ball. New Technologies for Combatting Sexual Violence in Conflict and Non-conflict Settings. Institute of Development Studies, 2022. http://dx.doi.org/10.19088/k4d.2022.136.

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There are a significant number of new technologies aimed at combatting sexual and gender-based violence (SGBV)—primarily in the form of “emergency mobile apps”, but they are generally geographically and culturally limited, and under-studied. There are fewer applications of new technologies addressing conflict-related sexual violence (CRSV), as regards prevention, monitoring, and early warning systems. Well established issues related to the under-reporting of SGBV also impact the accuracy of digital monitoring tools used in both conflict and non-conflict contexts. The use of digital tools to co
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Dechow, Chad Daniel, M. Cohen-Zinder, Morris Soller, et al. Genotypes and phenotypes of telomere length in Holstein cattle, actors or reporters. United States-Israel Binational Agricultural Research and Development Fund, 2020. http://dx.doi.org/10.32747/2020.8134156.bard.

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Selection programs aiming at improving health and survival in cattle are complicated by low heritability estimates, the fact that true herd life and carcass quality is not known until the end of an animal's life, and that many health conditions manifest late in life. Young animals are now heavily favored in breeding programs because low generation intervals accelerate the rate of genetic progress, which means selection decisions must be made before phenotypic observation of health and survival is feasible. Moreover, profitability is compromised when livestock producers raise animals that fail
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Daudelin, Francois, Lina Taing, Lucy Chen, Claudia Abreu Lopes, Adeniyi Francis Fagbamigbe, and Hamid Mehmood. Mapping WASH-related disease risk: A review of risk concepts and methods. United Nations University Institute for Water, Environment and Health, 2021. http://dx.doi.org/10.53328/uxuo4751.

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The report provides a review of how risk is conceived of, modelled, and mapped in studies of infectious water, sanitation, and hygiene (WASH) related diseases. It focuses on spatial epidemiology of cholera, malaria and dengue to offer recommendations for the field of WASH-related disease risk mapping. The report notes a lack of consensus on the definition of disease risk in the literature, which limits the interpretability of the resulting analyses and could affect the quality of the design and direction of public health interventions. In addition, existing risk frameworks that consider diseas
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Hertel, Thomas, David Hummels, Maros Ivanic, and Roman Keeney. How Confident Can We Be in CGE-Based Assessments of Free Trade Agreements? GTAP Working Paper, 2003. http://dx.doi.org/10.21642/gtap.wp26.

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With the proliferation of Free Trade Agreements (FTAs) over the past decade, demand for quantitative analysis of their likely impacts has surged. The main quantitative tool for performing such analysis is Computable General Equilibrium (CGE) modeling. Yet these models have been widely criticized for performing poorly (Kehoe, 2002) and having weak econometric foundations (McKitrick, 1998; Jorgenson, 1984). FTA results have been shown to be particularly sensitive to the trade elasticities, with small trade elasticities generating large terms of trade effects and relatively modest efficiency gain
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Jalkanen, Jukka-Pekka, Erik Fridell, Jaakko Kukkonen, et al. Environmental impacts of exhaust gas cleaning systems in the Baltic Sea, North Sea, and the Mediterranean Sea area. Finnish Meteorological Institute, 2024. http://dx.doi.org/10.35614/isbn.9789523361898.

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Description: Shipping is responsible for a range of different pressures affecting air quality, climate, and the marine environment. Most social and economic analyses of shipping have focused on air pollution assessment and how shipping may impact climate change and human health. This risks that policies may be biased towards air pollution and climate change, whilst impacts on the marine environment are not as well known. One example is the sulfur regulation introduced in January 2020, which requires shipowners to use a compliant fuel with a sulfur content of 0.5% (0.1% in SECA regions) or use
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In Conversation… Prof Elaine Fox. ACAMH, 2020. http://dx.doi.org/10.13056/acamh.11788.

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Professor Fox discusses the risk and preventative factors around mental health including the role of resilience, cognitive and affective flexibility, memory bias and negative bias. Includes transcription, and links.
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Monetary Policy Report - October 2021. Banco de la República, 2021. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr4-2021.

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Macroeconomic summary Economic activity has recovered faster than projected, and output is now expected to return to pre-pandemic levels earlier than anticipated. Economic growth projections for 2021 and 2022 have been revised upward, though significant downward bias remains. (Graph 1.1). Colombia’s economy returned to recovery in the third quarter after significant supply shocks and a third wave of COVID-19 in the second. Negative shocks affecting mobility and output were absent in the third quarter, and some indicators of economic activity suggest that the rate of recovery in demand, primari
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