Articles de revues : « Bias attentivi »

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Charash, Michael, and Dean McKay. "Attention bias for disgust." Journal of Anxiety Disorders 16, no. 5 (2002): 529–41. http://dx.doi.org/10.1016/s0887-6185(02)00171-8.

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FUJITA, 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.

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Werthmann, 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 (2014): 136–43. http://dx.doi.org/10.1016/j.jbtep.2013.09.009.

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TOMITA, 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.

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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.

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Wang, Benchi, Iliana Samara, and Jan Theeuwes. "Statistical regularities bias overt attention." Attention, Perception, & Psychophysics 81, no. 6 (2019): 1813–21. http://dx.doi.org/10.3758/s13414-019-01708-5.

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Sharpe, Louise. "Attention bias modification for children." PAIN 159, no. 2 (2018): 191–92. http://dx.doi.org/10.1097/j.pain.0000000000001107.

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Hung, 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.

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Charash, Michael, Dean McKay, and Nick Dipaolo. "Implicit attention bias for disgust." Anxiety, Stress & Coping 19, no. 4 (2006): 353–64. http://dx.doi.org/10.1080/10615800601055915.

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Cret, 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.

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JIANG, Jingqi, Haoyu WANG, and Mingyi QIAN. "Dynamic attention bias in social anxiety." Advances in Psychological Science 27, no. 11 (2019): 1887. http://dx.doi.org/10.3724/sp.j.1042.2019.01887.

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Clement, Andrew, and Brian Anderson. "Learned Associations Among Objects Bias Attention." Journal of Vision 21, no. 9 (2021): 2013. http://dx.doi.org/10.1167/jov.21.9.2013.

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BAI, Xuejun, Liping JIA, and Jingxin WANG. "Emotional Attention Bias Under Inhibition Paradigm." Advances in Psychological Science 21, no. 5 (2013): 785–91. http://dx.doi.org/10.3724/sp.j.1042.2013.00785.

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Allen, M. "Randomized clinical trials: Attention to bias." Journal of WOCN 29, no. 3 (2002): 127–28. http://dx.doi.org/10.1067/mjw.2002.124024.

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Baker, D. A., N. J. Schweitzer, Evan F. Risko, and Jillian M. Ware. "Visual Attention and the Neuroimage Bias." PLoS ONE 8, no. 9 (2013): e74449. http://dx.doi.org/10.1371/journal.pone.0074449.

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Wu, Daw-An, Shinsuke Shimojo, Stephanie W. Wang, and Colin F. Camerer. "Shared Visual Attention Reduces Hindsight Bias." Psychological Science 23, no. 12 (2012): 1524–33. http://dx.doi.org/10.1177/0956797612447817.

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Hindsight bias is the tendency to retrospectively think of outcomes as being more foreseeable than they actually were. It is a robust judgment bias and is difficult to correct (or “debias”). In the experiments reported here, we used a visual paradigm in which performers decided whether blurred photos contained humans. Evaluators, who saw the photos unblurred and thus knew whether a human was present, estimated the proportion of participants who guessed whether a human was present. The evaluators exhibited visual hindsight bias in a way that matched earlier data from judgments of historical events surprisingly closely. Using eye tracking, we showed that a higher correlation between the gaze patterns of performers and evaluators (shared attention) is associated with lower hindsight bias. This association was validated by a causal method for debiasing: Showing the gaze patterns of the performers to the evaluators as they viewed the stimuli reduced the extent of hindsight bias.

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Fani, Negar, David Gutman, Erin B. Tone, et al. "FKBP5 and Attention Bias for Threat." JAMA Psychiatry 70, no. 4 (2013): 392. http://dx.doi.org/10.1001/2013.jamapsychiatry.210.

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Tincher, Moses M., Lauren A. M. Lebois, and Lawrence W. Barsalou. "Mindful Attention Reduces Linguistic Intergroup Bias." Mindfulness 7, no. 2 (2015): 349–60. http://dx.doi.org/10.1007/s12671-015-0450-3.

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Dean, Mark, Özgür Kıbrıs, and Yusufcan Masatlioglu. "Limited attention and status quo bias." Journal of Economic Theory 169 (May 2017): 93–127. http://dx.doi.org/10.1016/j.jet.2017.01.009.

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Deltomme, Berre, Gaetan Mertens, Helen Tibboel, and Senne Braem. "Instructed fear stimuli bias visual attention." Acta Psychologica 184 (March 2018): 31–38. http://dx.doi.org/10.1016/j.actpsy.2017.08.010.

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Kress, Laura, and Tatjana Aue. "The link between optimism bias and attention bias: A neurocognitive perspective." Neuroscience & Biobehavioral Reviews 80 (September 2017): 688–702. http://dx.doi.org/10.1016/j.neubiorev.2017.07.016.

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Beevers, Christopher G., Kean J. Hsu, David M. Schnyer, Jasper A. J. Smits, and Jason Shumake. "Change in negative attention bias mediates the association between attention bias modification training and depression symptom improvement." Journal of Consulting and Clinical Psychology 89, no. 10 (2021): 816–29. http://dx.doi.org/10.1037/ccp0000683.

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Lazarov, Amit, Benjamin Suarez-Jimenez, Rany Abend, et al. "Bias-contingent attention bias modification and attention control training in treatment of PTSD: a randomized control trial." Psychological Medicine 49, no. 14 (2018): 2432–40. http://dx.doi.org/10.1017/s0033291718003367.

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AbstractBackgroundRandomized control trials (RCTs) comparing attention control training (ACT) and attention bias modification (ABM) in posttraumatic stress disorder (PTSD) have shown mixed results. The current RCT extends the extant literature by comparing the efficacy of ACT and a novel bias-contingent-ABM (BC-ABM), in which direction of training is contingent upon the direction of pre-treatment attention bias (AB), in a sample of civilian patients with PTSD.MethodsFifty treatment-seeking civilian patients with PTSD were randomly assigned to either ACT or BC-ABM. Clinician and self-report measures of PTSD and depression, as well as AB and attention bias variability (ABV), were acquired pre- and post-treatment.ResultsACT yielded greater reductions in PTSD and depressive symptoms on both clinician-rated and self-reported measures compared with BC-ABM. The BC-ABM condition successfully shifted ABs in the intended training direction. In the ACT group, there was no significant change in ABV or AB from pre- to post-treatment.ConclusionsThe current RCT extends previous results in being the first to apply ABM that is contingent upon AB at pre-treatment. This personalized BC-ABM approach is associated with significant reductions in symptoms. However, ACT produces even greater reductions, thereby emerging as a promising treatment for PTSD.

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Beevers, Christopher G., Peter C. Clasen, Philip M. Enock, and David M. Schnyer. "Attention bias modification for major depressive disorder: Effects on attention bias, resting state connectivity, and symptom change." Journal of Abnormal Psychology 124, no. 3 (2015): 463–75. http://dx.doi.org/10.1037/abn0000049.

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Rijsdijk, F. V., H. Riese, M. Tops, et al. "Neuroticism, recall bias and attention bias for valenced probes: a twin study." Psychological Medicine 39, no. 1 (2008): 45–54. http://dx.doi.org/10.1017/s0033291708003231.

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BackgroundPrior research on the nature of the vulnerability of neuroticism to psychopathology suggests biases in information processing towards emotional rather than neutral information. It is unclear to what extent this relationship can be explained by genetic or environmental factors.MethodThe genetic relationship between a neuroticism composite score and free recall of pleasant and unpleasant words and the reaction time on negative probes (dot-probe task) was investigated in 125 female twin pairs. Interaction effects were modelled to test whether the correlation between neuroticism and cognitive measures depended on the level of the neuroticism score.ResultsThe only significant correlation was between neuroticism and the proportion of recalled unpleasant words (heritability is 30%), and was only detectable at the higher end of the neuroticism distribution. This interaction effect seems to be due to environmental effects that make people in the same family more similar (e.g. parental discipline style), rather than genetic factors. An interesting sub-finding was that faster reaction times for left versus right visual field probes in the dot-probe task suggest that cognitive processing in the right hemisphere is more sensitive to subliminal (biologically relevant) cues and that this characteristic is under substantial genetic control (49%). Individual differences in reaction times on right visual field probes were due to environmental effects only.ConclusionsThere is no evidence that the predisposition of individuals to focus on negative (emotional) stimuli is a possible underlying genetic mechanism of neuroticism.

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Adam, R. J., and S. G. Manohar. "Does Reward Modulate Actions or Bias Attention?" Journal of Neuroscience 27, no. 41 (2007): 10919–21. http://dx.doi.org/10.1523/jneurosci.2957-07.2007.

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Brown, C. E., T. D. W. Wilcockson, and J. Lunn. "Does sleep affect alcohol-related attention bias?" Journal of Substance Use 25, no. 5 (2020): 515–18. http://dx.doi.org/10.1080/14659891.2020.1736670.

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Andersson, Linus, Mats Bende, Eva Millqvist, and Steven Nordin. "Attention bias and sensitization in chemical sensitivity." Journal of Psychosomatic Research 66, no. 5 (2009): 407–16. http://dx.doi.org/10.1016/j.jpsychores.2008.11.005.

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Raffa, Lina, Heather Fennell-Al Sayed, and Robert LaRoche. "Measuring attention bias in subjects with strabismus." Journal of American Association for Pediatric Ophthalmology and Strabismus 23, no. 4 (2019): e50. http://dx.doi.org/10.1016/j.jaapos.2019.08.181.

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McNally, Richard J., Philip M. Enock, Cynthia Tsai, and Mona Tousian. "Attention bias modification for reducing speech anxiety." Behaviour Research and Therapy 51, no. 12 (2013): 882–88. http://dx.doi.org/10.1016/j.brat.2013.10.001.

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Longo, Matthew R., Stella F. Lourenco, and Alex Francisco. "Approaching stimuli bias attention in numerical space." Acta Psychologica 140, no. 2 (2012): 129–32. http://dx.doi.org/10.1016/j.actpsy.2012.04.001.

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李, 梦祎. "Attention Bias of the Self Emotional Faces." Advances in Social Sciences 12, no. 02 (2023): 560–67. http://dx.doi.org/10.12677/ass.2023.122077.

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Park, Ha Na and 윤혜영. "The Effect of Pictorial Health Warnings on Attention Bias and Attention Bias Modification Training in University Student Smokers." Health and Social Welfare Review 39, no. 1 (2019): 259–92. http://dx.doi.org/10.15709/hswr.2019.39.1.259.

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Adams, Holly, Heather M. Kleider-Offutt, David Bell, and David A. Washburn. "The effects of prayer on attention resource availability and attention bias." Religion, Brain & Behavior 7, no. 2 (2016): 117–33. http://dx.doi.org/10.1080/2153599x.2016.1206612.

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Morales, Santiago, Natalie V. Miller, Sonya V. Troller-Renfree, et al. "Attention bias to reward predicts behavioral problems and moderates early risk to externalizing and attention problems." Development and Psychopathology 32, no. 2 (2019): 397–409. http://dx.doi.org/10.1017/s0954579419000166.

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AbstractThe current study had three goals. First, we replicated recent evidence that suggests a concurrent relation between attention bias to reward and externalizing and attention problems at age 7. Second, we extended these findings by examining the relations between attention and behavioral measures of early exuberance (3 years), early effortful control (4 years), and concurrent effortful control (7 years), as well as later behavioral problems (9 years). Third, we evaluated the role of attention to reward in the longitudinal pathways between early exuberance and early effortful control to predict externalizing and attention problems. Results revealed that attention bias to reward was associated concurrently and longitudinally with behavioral problems. Moreover, greater reward bias was concurrently associated with lower levels of parent-reported effortful control. Finally, attention bias to reward moderated the longitudinal relations between early risk factors for behavioral problems (gender, exuberance, and effortful control) and later externalizing and attention problems, such that these early risk factors were most predictive of behavioral problems for males with a large attention bias to reward. These findings suggest that attention bias to reward may act as a moderator of early risk, aiding the identification of children at the highest risk for later behavioral problems.

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Spironelli, Chiara, Mariaelena Tagliabue, and Carlo Umiltà. "Response Selection and Attention Orienting." Experimental Psychology 56, no. 4 (2009): 274–82. http://dx.doi.org/10.1027/1618-3169.56.4.274.

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Recently, there has been a redirection of research efforts toward the exploration of the role of hemispheric lateralization in determining Simon effect asymmetries. The present study aimed at implementing a connectionist model that simulates the cognitive mechanisms implied by such asymmetries, focusing on the underlying neural structure. A left-lateralized response-selection mechanism was implemented alone (Experiment 1) or along with a right-lateralized automatic attention-orienting mechanism (Experiment 2). It was found that both models yielded Simon effect asymmetries. However, whereas the first model showed a reversed pattern of asymmetry compared with human, real data, the second model’s performance strongly resembled human Simon effect asymmetries, with a significantly greater right than left Simon effect. Thus, a left-side bias in the response-selection mechanism produced a left-side biased Simon effect, whereas a right-side bias in the attention system produced a right-side biased Simon effect. In conclusion, results showed that the bias of the attention system had a larger impact than the bias of the response-selection mechanism in producing Simon effect asymmetries.

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Allen, Lydia, Kate E. Mulgrew, Karina Rune, and Andrew Allen. "Attention bias for appearance words can be reduced in women: Results from a single-session attention bias modification task." Journal of Behavior Therapy and Experimental Psychiatry 61 (December 2018): 97–103. http://dx.doi.org/10.1016/j.jbtep.2018.06.012.

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Britton, Jennifer C., Yair Bar-Haim, Michelle A. Clementi, et al. "Training-associated changes and stability of attention bias in youth: Implications for Attention Bias Modification Treatment for pediatric anxiety." Developmental Cognitive Neuroscience 4 (April 2013): 52–64. http://dx.doi.org/10.1016/j.dcn.2012.11.001.

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Maciuszek, Józef. "Don’t pay attention to what you see! Negative commands and attention bias." Polish Psychological Bulletin 44, no. 1 (2013): 70–84. http://dx.doi.org/10.2478/ppb-2013-0008.

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Abstract The paper presents research into the effects of the use of negations in directives (orders, suggestions, requests). Three experiments are described that tested the effects of instructions formulated in various ways: direct (pay attention to) and negated (don’t pay attention to) commands to focus the attention. Indicators of attention focusing that were used include: the correctness of answers to questions about a selection of comic book pages (Experiment 1); the time needed to name the colours of stimulus words and the level of recall of these words after completion of the colour naming task (Experiment 2 and 3). The results showed that a direct command influenced all indicators of attention focusing. However, a negated command increased the level of recall of details about the comic book pages, as well as the level of key word recall. Both the automatic process that generates the paradoxical effects of negated commands, as well as the controlled process of reasoning, may be responsible for the results of the memory task.

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GRUBB, J. D., C. L. REED, S. BATE, J. GARZA, and R. J. ROBERTS. "Walking reveals trunk orientation bias for visual attention." Perception & Psychophysics 70, no. 4 (2008): 688–96. http://dx.doi.org/10.3758/pp.70.4.688.

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McCarthy, Danielle E., Rebecca Gloria, and John J. Curtin. "Attention bias in nicotine withdrawal and under stress." Psychology of Addictive Behaviors 23, no. 1 (2009): 77–90. http://dx.doi.org/10.1037/a0014288.

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Hong, Yoolim, and Andrew Leber. "When does implicitly-learned spatial context bias attention?" Journal of Vision 18, no. 10 (2018): 644. http://dx.doi.org/10.1167/18.10.644.

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Yu, Ru Qi, and Jiaying Zhao. "How do regularities bias attention to visual targets?" Journal of Vision 19, no. 10 (2019): 26c. http://dx.doi.org/10.1167/19.10.26c.

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Naim, Reut, Rany Abend, Ilan Wald, et al. "Threat-Related Attention Bias Variability and Posttraumatic Stress." American Journal of Psychiatry 172, no. 12 (2015): 1242–50. http://dx.doi.org/10.1176/appi.ajp.2015.14121579.

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Kaise, Y., A. Masuyama, M. Naruse, and Y. Sakano. "OR13-3 * ATTENTION BIAS IN SNS-ADDICTED INDIVIDUALS." Alcohol and Alcoholism 49, suppl 1 (2014): i50. http://dx.doi.org/10.1093/alcalc/agu053.62.

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Cocia, Ioana R., Lavinia C. Uscătescu, and Alina S. Rusu. "Attention Bias to Threat in Anxiety-Prone Individuals." Journal of Psychophysiology 26, no. 2 (2012): 74–82. http://dx.doi.org/10.1027/0269-8803/a000069.

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There is considerable controversy around the factors influencing the attentional biases involved in anxiety, controversies pinpointing to the role of trait anxiety (TA) in these biases. Previous studies have disregarded psychophysiological factors, such as cardiac vagal control, from the relation between TA and attention biases to threat, though cardiac vagal control serves as a proxy of attention regulation. By using a spatial cueing task, the present correlational study examines cardiac vagal tone as a moderator of the relation between TA and attention biases to threat. Cardiac vagal tone was indexed by high-frequency heart-rate variability (HF-HRV) and recorded, at baseline, from participants with high trait anxiety (HTA, N = 34) or low trait anxiety (LTA, N = 40). Our data indicate that HF-HRV significantly moderates the relation between TA and disengagement bias, but does not moderate the relation between TA and engagement bias. Extended analysis on the significant moderation showed that HF-HRV moderated the relation between TA and disengagement bias in the case of the participants with mean to low HF-HRV values. This was not the case for the participants with high values of HF-HRV. Our results suggest implications for redefining groups at risk for anxiety disorders, as well as future considerations of the cardiac vagal tone in attention bias research.

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Uddin, Muhammad Kamal, Takahiro Kawabe, and Sachio Nakamizo. "Attention shift not memory averaging reduces foveal bias." Vision Research 45, no. 25-26 (2005): 3301–6. http://dx.doi.org/10.1016/j.visres.2005.03.006.

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Backus, B. T., and S. Fuller. "Attention mediates learned perceptual bias for bistable stimuli." Journal of Vision 10, no. 7 (2010): 1106. http://dx.doi.org/10.1167/10.7.1106.

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Raffa, Lina H., Heather Fennell-Al Sayed, and Robert LaRoche. "Measuring attention bias in observers of strabismus subjects." Journal of American Association for Pediatric Ophthalmology and Strabismus 23, no. 3 (2019): 143.e1–143.e5. http://dx.doi.org/10.1016/j.jaapos.2019.01.014.

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Amir, Nader, Sadia Najmi, and Amanda S. Morrison. "Attenuation of attention bias in obsessive–compulsive disorder." Behaviour Research and Therapy 47, no. 2 (2009): 153–57. http://dx.doi.org/10.1016/j.brat.2008.10.020.

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