Academic literature on the topic 'Bias attentivi'
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Journal articles on the topic "Bias attentivi"
Charash, Michael, and Dean McKay. "Attention bias for disgust." Journal of Anxiety Disorders 16, no. 5 (January 2002): 529–41. http://dx.doi.org/10.1016/s0887-6185(02)00171-8.
Full textFUJITA, Hiroyo, Toshiyuki HIMICHI, and Michio NOMURA. "Envy affects attention bias." Proceedings of the Annual Convention of the Japanese Psychological Association 77 (September 19, 2013): 3PM—098–3PM—098. http://dx.doi.org/10.4992/pacjpa.77.0_3pm-098.
Full textWerthmann, Jessica, Matt Field, Anne Roefs, Chantal Nederkoorn, and Anita Jansen. "Attention bias for chocolate increases chocolate consumption – An attention bias modification study." Journal of Behavior Therapy and Experimental Psychiatry 45, no. 1 (March 2014): 136–43. http://dx.doi.org/10.1016/j.jbtep.2013.09.009.
Full textTOMITA, Nozomi, Yuko NISHI, Shoji IMAI, and Hiroaki KUMANO. "Attention Bias and Memory Bias in Social Anxiety." Proceedings of the Annual Convention of the Japanese Psychological Association 77 (September 19, 2013): 3EV—057–3EV—057. http://dx.doi.org/10.4992/pacjpa.77.0_3ev-057.
Full text李, 喜乐. "Attention Bias of Susceptible Individuals." Advances in Psychology 11, no. 02 (2021): 519–26. http://dx.doi.org/10.12677/ap.2021.112058.
Full textWang, Benchi, Iliana Samara, and Jan Theeuwes. "Statistical regularities bias overt attention." Attention, Perception, & Psychophysics 81, no. 6 (March 27, 2019): 1813–21. http://dx.doi.org/10.3758/s13414-019-01708-5.
Full textSharpe, Louise. "Attention bias modification for children." PAIN 159, no. 2 (February 2018): 191–92. http://dx.doi.org/10.1097/j.pain.0000000000001107.
Full textHung, Weifeng. "Institutional trading and attention bias." Journal of International Financial Markets, Institutions and Money 29 (March 2014): 71–91. http://dx.doi.org/10.1016/j.intfin.2013.12.001.
Full textCharash, Michael, Dean McKay, and Nick Dipaolo. "Implicit attention bias for disgust." Anxiety, Stress & Coping 19, no. 4 (December 2006): 353–64. http://dx.doi.org/10.1080/10615800601055915.
Full textCret, Nicoleta. "Attention Bias or the Attention Control Ability: Measuring the Role of Attention Bias as a Cause for Anxiety Vulnerability." Procedia - Social and Behavioral Sciences 78 (May 2013): 240–44. http://dx.doi.org/10.1016/j.sbspro.2013.04.287.
Full textDissertations / Theses on the topic "Bias attentivi"
DE, ANGELIS JACOPO. "HOW DO HUMANS RESPOND TO SOCIAL AND NON-SOCIAL STIMULI? EVIDENCE FROM TYPICALLY DEVELOPED INDIVIDUALS AND INDIVIDUALS WITH AUTISM SPECTRUM DISORDER." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2021. http://hdl.handle.net/10281/309651.
Full textAccording to the Greek philosopher Aristotle “Man is by nature a social animal”. After 2350 years, we know that this statement is partially true. Although experimental evidence has reported a preference for social stimuli and social interactions in human beings, this conclusion does not apply to every individuals and contexts. Social stimuli processing can indeed be affected by stimuli and competitive non-social stimuli features as well as by inter-individual characteristics. Among the clinical conditions characterized by atypicality in social behaviours and social cognition (e.g., schizophrenia, personality disorders etc.), Autism Spectrum Disorder (ASD) is the most prototypical example. The present dissertation was aimed at: i. investigating whether social stimuli are prioritized by typically developed individuals (TD) even when they attentively compete with other relevant non-social stimuli (money); ii. Investigating whether and how individuals with ASD differently respond to social vs non-social stimuli compared to TD individuals, by considering both a cognitive and a physiological level of processing; iii. Investigating whether the differences between TD and ASD individuals in social vs nonsocial stimuli processing are the expression of a familiar phenotype; iv. Investigating whether it is possible to modify the salience of social stimuli in ASD individuals through an Attention Bias Modification Treatment (ABMT) methodology. The present dissertation is expected to provide three main implications: theoretical, methodological and clinical. As concerns the theoretical implications, the present work only partially supports Aristotle statement mentioned in the introduction. Indeed, the reported findings have clearly highlighted that, although social stimuli are usually prioritized, their valence may be affected by a variety of variables such as individual differences (e.g., autistic traits) or characteristics of the non-social stimuli presented in competition with the social ones (e.g., High Autism Interest stimuli). Finally, results stress the importance of considering the different stages of stimulus processing (i.e., cognitive vs physiological) when examining human responses to social vs non-social stimuli. As regards the methodological implications, the present work provides important hints for future research on social vs non-social stimuli processing with TD and atypical development populations, by suggesting the integration of traditional techniques with more advanced computational techniques (i.e., Machine Learning). As concern the clinical implications, this work has provided a rich examination of how children and adults of ASD children process social and non-social stimuli both at an attentional level and at a physiological level. Secondly, it has contributed to further shedding light on the concept of BAP, by showing its limitations and the role played by environmental variables in shaping the parents of ASD children’s behavioral responses.
McCarthy, John Dylan. "Changing attention." Thesis, University College London (University of London), 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264180.
Full textTodd, Jemma Lauren. "Exploring the Role of Attention and Interpretation Biases in Understanding and Treating Pain." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17033.
Full textMcAteer, Annie Melaugh. "Understanding alcohol attention bias in adolescence." Thesis, Queen's University Belfast, 2017. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.727957.
Full textMergelsberg, Enrique Laurent Paul. "An Investigation in Attention Bias Modification Training: Attention Bias Assessment, Acquisition and Change with the Dot-Probe Task." Thesis, Curtin University, 2019. http://hdl.handle.net/20.500.11937/77426.
Full textDevigili, Andrea. "Correlati Elettrofisiologici del Bias Attentivo nella Fobia del Sangue." Doctoral thesis, Università degli studi di Padova, 2011. http://hdl.handle.net/11577/3421655.
Full textRilevare uno stimolo minaccioso nell’ambiente il più velocemente possibile è una funzione essenziale per gli esseri viventi, in quanto permette una risposta di difesa più efficace e comporta maggiori possibilità di sopravvivenza. Il fenomeno per cui gli stimoli minacciosi catturano attenzione in modo più efficace rispetto a stimoli neutri o piacevoli prende il nome di bias attentivo. Esistono numerose ipotesi in letteratura sui meccanismi attentivi alla base di questo bias. In particolare, vi sono due modelli: il primo sostiene che vi sia una facilitazione precoce nella codifica dell’informazione minacciosa, seguita da una difficoltà nello spostare l’attenzione da tale informazione verso altri stimoli (disingaggio ritardato); il secondo sostiene invece che l’iniziale orientamento dell’attenzione verso l’informazione minacciosa sia seguito da evitamento cognitivo, che ne inibisce una elaborazione più dettagliata (vigilanza-evitamento). Vi sono numerosi studi che hanno prodotto dati comportamentali ed elettrofisiologici a sostegno dell’esistenza di una elaborazione preferenziale degli stimoli minacciosi: ad esempio, gli stimoli di minaccia sono rilevati più velocemente, richiedono più risorse di elaborazione, interferiscono maggiormente nell’esecuzione di compiti concomitanti, mantengono l’attenzione per un periodo di tempo maggiore e rendono difficoltoso lo spostamento dell’attenzione su altri stimoli. Molteplici studi hanno inoltre dimostrato che gli individui con disturbi d’ansia, o con elevati livelli di ansia di tratto, presentano un bias attentivo più marcato, specificatamente nei confronti di stimoli legati al disturbo. E’ noto che nelle fobie specifiche l’elaborazione dell’informazione privilegia la detezione e l’analisi dello stimolo fobigeno. Tuttavia, questo non sembra verificarsi per la fobia di sangue-iniezioni-ferite. A livello elettrocorticale, nelle fobie specifiche si rileva solitamente un bias associato all’elaborazione dello stimolo fobico, che si riflette in compiti di visione passiva in una maggiore ampiezza della componente P300 dei potenziali evento-relati e in una maggiore positività tardiva (LPP). Questo effetto non è tuttavia emerso per la fobia del sangue. Questo disturbo d’ansia è infatti singolare da molteplici punti di vista: a livello soggettivo, è caratterizzato dall’emozione di disgusto, piuttosto che da quella di paura; a livello fisiologico, è caratterizzato da un pattern di attivazione cardiovascolare che spesso conduce allo svenimento; a livello comportamentale, è caratterizzato da un conflitto tra azione e inibizione motoria. Il presente lavoro di tesi descrive tre studi che avevano l’obiettivo di indagare la presenza di un bias attentivo nella fobia di sangue-iniezioni-ferite attraverso misure comportamentali ed elettrocorticali. Sono stati impiegati paradigmi sperimentali e categorie emozionali di controllo differenti al fine di testare la specificità del bias attentivo nei confronti del materiale fobigeno e di identificare i meccanismi attentivi coinvolti.
Stone, Bryant M. "Effects of a Gratitude Intervention and Attention Bias Modification on Emotion Regulation." OpenSIUC, 2020. https://opensiuc.lib.siu.edu/theses/2716.
Full textHill, Jemma. "Attention training and the Positive Illusory Bias in Attention Deficit Hyperactivity Disorder." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/attention-training-and-the-positive-illusory-bias-in-attention-deficit-hyperactivity-disorder(0b136c3a-52fc-42e1-96e4-8ed15242cd0a).html.
Full textDuran, Geoffrey. "Compréhension, Emotion, et Attention, une nouvelle approche à détecter le mensonge." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSE2090/document.
Full textWe are all so familiar with the notions of deception and lie detection. We readily admit that lying is not morally acceptable. Lying has always been a moral problem. For example, Aristotle said that "falsehood is in itself mean and culpable" or Kant regarded the truth as "unconditional duty which holds in all circumstances.” Machiavelli has taken a different position by praising deceit in the service of self. After having been a moral and legal problem for millennia, the question of lies and their detection has become a question of research for about sixty years. How do people deceive others? How are people likely to believe the lies of others? Are they able to detect when someone is lying to them? And if yes, how? Why are people fooled? These questions are still relevant, and this thesis is part of the continuity of research on the detection of lies, in the context of detection without a specialized instrument.Scientific publications from the literature on the human capacity to detect lies are pessimistic and show that individuals rarely do better than chance. If explanations have been made, many questions still persist, such as the influence of certain aspects of personality and cognition on the ability to detect lies. We have conducted several experimental studies to answer some of the questions. All of our results suggest that personality traits associated with sensitivity to the emotions of others interfere with the capacity to detect lies. Our results show, for the first time, that cognitive functions, such as recognition of prosody, attentional processes and discourse comprehension, are involved in the detection of lies. Finally, this thesis also examined whether aspects of personality and cognition influence the detection ability of police officers (French Gendarmes)
Skene, Wendy. "Attentional bias across the lifespan." Thesis, University of Aberdeen, 2014. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=217888.
Full textBooks on the topic "Bias attentivi"
Meyerhoff, Hauke S. Linking perceptual animacy to visual attention: An investigation of detection efficiency and attentional bias for chasing objects among distractors kumulative Dissertation. [S.l: s.n.], 2013.
Find full textLanger, Ellen J. Xue xi, jiu shi yi zhong xiang shou: Ni ye ke yi ba xue xi he gong zuo bian cheng "wan le" de dai ming ci. Taibei Xian Xindian Shi: Ren ben zi ran wen hua shi ye you xian gong si, 2006.
Find full textLanger, Ellen J. Yong xin fa ze: Gai bian ni yi sheng de guan jian. Taibei Xian Xindian Shi: Mu ma wen hua shi ye gu fen you xian gong si, 2007.
Find full textSummerfield, Christopher, and Tobias Egner. Attention and Decision-Making. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.018.
Full textNobre, Anna C. (Kia), and Gustavo Rohenkohl. Time for the Fourth Dimension in Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.036.
Full textMcCrory Calarco, Jessica. Seeking Attention. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190634438.003.0006.
Full textStokes, Mark, and John Duncan. Dynamic Brain States for Preparatory Attention and Working Memory. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.032.
Full textJecker, Nancy S. Ending Midlife Bias. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190949075.001.0001.
Full textBeck, Diane M., and Sabine Kastner. Neural Systems for Spatial Attention in the Human Brain. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.011.
Full textvan Schalkwyk, Gerrit I., and Wendy K. Silverman. Anxiety Disorders. Edited by Thomas H. Ollendick, Susan W. White, and Bradley A. White. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190634841.013.20.
Full textBook chapters on the topic "Bias attentivi"
Siniscalchi, Marcello. "Attention Bias." In Encyclopedia of Animal Cognition and Behavior, 1–3. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-47829-6_1516-1.
Full textAzriel, Omer, and Yair Bar-Haim. "Attention bias." In Clinical handbook of fear and anxiety: Maintenance processes and treatment mechanisms., 203–18. Washington: American Psychological Association, 2020. http://dx.doi.org/10.1037/0000150-012.
Full textSiniscalchi, Marcello. "Attention Bias." In Encyclopedia of Animal Cognition and Behavior, 548–50. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_1516.
Full textBrogaard, Berit “Brit.” "Bias-Driven Attention, Cognitive Penetration and Epistemic Downgrading." In The Philosophy of Perception, edited by Christoph Limbeck-Lilienau and Friedrich Stadler, 199–216. Berlin, Boston: De Gruyter, 2019. http://dx.doi.org/10.1515/9783110657920-012.
Full textWong, Mei-Yi, Chen Kang Lee, Paul E. Croarkin, and Poh Foong Lee. "A Dot-Probe Paradigm for Attention Bias Detection in Young Adults." In IFMBE Proceedings, 150–57. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65092-6_18.
Full textRenå, Helge. "The Alarms That Were Sent, but Never Received: Attention Bias in a Novel Setting." In The Blind Spots of Public Bureaucracy and the Politics of Non‐Coordination, 87–109. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76672-0_5.
Full textZheng, Zhiyong, Kun Tian, and Fengxia Liu. "LWE Public Key Cryptosystem." In Financial Mathematics and Fintech, 99–118. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-7644-5_4.
Full textBenshaul-Tolonen, Anja, Garazi Zulaika, Marni Sommer, and Penelope A. Phillips-Howard. "Measuring Menstruation-Related Absenteeism Among Adolescents in Low-Income Countries." In The Palgrave Handbook of Critical Menstruation Studies, 705–23. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0614-7_52.
Full textHüsser, Andreas, and Werner Wirth. "Do Investors Show an Attentional Bias toward Past Performance? An Eye-Tracking Experiment on Visual Attention to Mutual Fund Disclosures in Simplified Fund Prospectuses." In Financial Literacy and the Limits of Financial Decision-Making, 77–102. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30886-9_5.
Full text"Attentional Bias in Emotional Disorders." In Attention and Emotion, 75–108. Psychology Press, 2016. http://dx.doi.org/10.4324/9781315784991-12.
Full textConference papers on the topic "Bias attentivi"
Mostert, Sonja Nicolene, and David Maree. "Leftward biases in attention: Eye fixations as indicators of attention and memory encoding." In 8th International e-Conference on Studies in Humanities and Social Sciences. Center for Open Access in Science, Belgrade, 2022. http://dx.doi.org/10.32591/coas.e-conf.08.01001m.
Full textLee, Soo-Young, Chang-Sup Shim, Ju-Seog Jang, and Sang-Yung Shin. "Optical implementation of associative memory with controlled bit-significance." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/oam.1987.fb7.
Full textOUYANG, Lijing, and Yingqi WU. "A Review of Attention Bias and Eating Disorder." In 2021 International Conference on Public Relations and Social Sciences (ICPRSS 2021). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.211020.266.
Full textHabibi, Hanna, and Jan Feld. "Do People Pay More Attention to Earthquakes in Western Countries?" In CARMA 2018 - 2nd International Conference on Advanced Research Methods and Analytics. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/carma2018.2018.8315.
Full textGangula, Rama Rohit Reddy, Suma Reddy Duggenpudi, and Radhika Mamidi. "Detecting Political Bias in News Articles Using Headline Attention." In Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP. Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/w19-4809.
Full textAttanasio, Giuseppe, Debora Nozza, Dirk Hovy, and Elena Baralis. "Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists." In Findings of the Association for Computational Linguistics: ACL 2022. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.findings-acl.88.
Full textChaudhary, Ujwal, Banghe Zhu, and Anuradha Godavarty. "Brain connectivity study of joint attention using frequency-domain optical imaging technique." In BiOS, edited by Nikiforos Kollias, Bernard Choi, Haishan Zeng, Reza S. Malek, Brian J. Wong, Justus F. R. Ilgner, Kenton W. Gregory, et al. SPIE, 2010. http://dx.doi.org/10.1117/12.841504.
Full textLi, Zhiwei, and Todd Gureckis. "Attention bias towards structure explained by an intrinsic reward for learning." In 2019 Conference on Cognitive Computational Neuroscience. Brentwood, Tennessee, USA: Cognitive Computational Neuroscience, 2019. http://dx.doi.org/10.32470/ccn.2019.1419-0.
Full textZhang, Xiao, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, and Ji-Rong Wen. "Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification." In KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3534678.3539393.
Full textChaudhary, Ujwal, Michael Hall, Anibal Gutierrez, Daniel Messinger, Gustavo Rey, and Anuradha Godavarty. "Joint attention studies in normal and autistic children using NIRS." In SPIE BiOS. SPIE, 2011. http://dx.doi.org/10.1117/12.874360.
Full textReports on the topic "Bias attentivi"
Hill, Mackenna, and Elizabeth Duval. Exploring Carry-Over Effects to Elucidate Attention Bias Modification’s Mixed Results. Journal of Young Investigators, September 2016. http://dx.doi.org/10.22186/jyi.31.3.9-14.
Full textRoberts, Tony, and Kevin Hernandez. Open Data for Agriculture and Nutrition: A Literature Review and Proposed Conceptual Framework. Institute of Development Studies (IDS), January 2021. http://dx.doi.org/10.19088/ids.2021.018.
Full textGruson-Daniel, Célya, and Maya Anderson-González. Étude exploratoire sur la « recherche sur la recherche » : acteurs et approches. Ministère de l'enseignement supérieur et de la recherche, November 2021. http://dx.doi.org/10.52949/24.
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