Journal articles: 'Controlled attention'

1

Jackson, Andrew. "Brain-controlled robot grabs attention." Nature 485, no. 7398 (May 2012): 317–18. http://dx.doi.org/10.1038/485317a.

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Macar, Françoise. "Expectancy, controlled attention and automatic attention in prospective temporal judgments." Acta Psychologica 111, no. 2 (September 2002): 243–62. http://dx.doi.org/10.1016/s0001-6918(02)00052-5.

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Macar, Françoise, Simon Grondin, and Laurence Casini. "Controlled attention sharing influences time estimation." Memory & Cognition 22, no. 6 (November 1994): 673–86. http://dx.doi.org/10.3758/bf03209252.

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ten Thij, Marijn, Andreas Kaltenbrunner, David Laniado, and Yana Volkovich. "Collective attention patterns under controlled conditions." Online Social Networks and Media 13 (September 2019): 100047. http://dx.doi.org/10.1016/j.osnem.2019.07.003.

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Pettersson, Rune. "Attention." Document Design 2, no. 2 (August 17, 2001): 114–30. http://dx.doi.org/10.1075/dd.2.2.02pet.

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We do not become conscious of all the stimuli detected by our sensory organs. The selective process that controls our awareness of events in the environment is called attention. The process of attention determines which events we become conscious of. Attention may be controlled (1) automatically, (2) by instructions, and (3) by the specific demands of the particular task at hand. The information designer may use various design principles and guidelines in order to facilitate the reader’s attention processes, and subsequent processes for understanding and learning.

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Popovic, Marjena, and Suncica Zdravkovic. "Can deployment of attention be strategically controlled?" Psihologija 42, no. 1 (2009): 67–78. http://dx.doi.org/10.2298/psi0901067p.

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Department of Psychology, University of Novi Sad, Serbia The main goal of the experiment was to test whether deployment of attention could be strategically controlled. Subjects viewed five-letter arrays. Each array included a letter unique in shape (i.e. target). One of the letters in each array (target or non-target) also differed from other letters in color or in position in relation to the array. That letter will be referred to as a feature singleton. The probability ratio of the feature singleton being the target or a non-target letter was varied throughout three experiments. The ratios were (1) 0.5 (target) : 0.5 (non-target); (2) 0.2 (target) : 0.8 (non-target); (3) 0.8 (target) : 0.2 (non-target). Subjects in all three experimental conditions deployed serial processes, but failed to maintain complete intentional control during the course of the search.

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7

Weichselgartner, E., and G. Sperling. "Dynamics of automatic and controlled visual attention." Science 238, no. 4828 (November 6, 1987): 778–80. http://dx.doi.org/10.1126/science.3672124.

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Stemmann, Heiko, and Winrich A. Freiwald. "Evidence for an attentional priority map in inferotemporal cortex." Proceedings of the National Academy of Sciences 116, no. 47 (November 4, 2019): 23797–805. http://dx.doi.org/10.1073/pnas.1821866116.

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From incoming sensory information, our brains make selections according to current behavioral goals. This process, selective attention, is controlled by parietal and frontal areas. Here, we show that another brain area, posterior inferotemporal cortex (PITd), also exhibits the defining properties of attentional control. We discovered this area with functional magnetic resonance imaging (fMRI) during an attentive motion discrimination task. Single-cell recordings from PITd revealed strong attentional modulation across 3 attention tasks yet no tuning to task-relevant stimulus features, like motion direction or color. Instead, PITd neurons closely tracked the subject’s attention state and predicted upcoming errors of attentional selection. Furthermore, artificial electrical PITd stimulation controlled the location of attentional selection without altering feature discrimination. These are the defining properties of a feature-blind priority map encoding the locus of attention. Together, these results suggest area PITd, located strategically to gather information about object properties, as an attentional priority map.

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Johnson, Dan R. "Attentional control capacity for emotion: An individual-difference measure of internal controlled attention." Cognition & Emotion 23, no. 8 (December 2009): 1516–36. http://dx.doi.org/10.1080/02699930802437095.

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10

Prinet, Julie C., Alexander C. Mize, and Nadine Sarter. "Triggering and Detecting Attentional Narrowing in Controlled Environments." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 298–302. http://dx.doi.org/10.1177/1541931213601068.

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Attentional narrowing refers to a state in which operators, involuntarily and unconsciously, fail to process a subset of potentially critical information. Little is known about factors that trigger the phenomenon and how to detect and distinguish it from a related state, focused attention, where one deliberately concentrates on one source of information. The objectives of this study were to (1) evaluate the effectiveness of three factors - workload, a novel difficult problem and incentive - for inducing attentional narrowing, and (2) identify markers of attentional narrowing and focused attention. Performance, eye-tracking data and anxiety levels were recorded while participants timeshared numerous tasks. When confronted with a novel problem, participants’ visual attention narrowed towards the affected task, and performance dropped on several tasks when all three factors were present. The findings from this study highlight promising means of inducing narrowing and show that eye-tracking, together with performance data, enable real-time detection of attentional narrowing.

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Sio, J. L. T., C. C. Chen, and A. H. Wang. "Attention controlled binocular suppression in non-amblyopic population." Journal of Vision 11, no. 11 (September 23, 2011): 320. http://dx.doi.org/10.1167/11.11.320.

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12

Kane, Michael J., M. Kathryn Bleckley, Andrew R. A. Conway, and Randall W. Engle. "A controlled-attention view of working-memory capacity." Journal of Experimental Psychology: General 130, no. 2 (2001): 169–83. http://dx.doi.org/10.1037/0096-3445.130.2.169.

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13

Thompson, A., and B. Gibson. "Revealing the space in symbolically-controlled spatial attention." Journal of Vision 10, no. 7 (August 2, 2010): 154. http://dx.doi.org/10.1167/10.7.154.

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14

Garforth, Jason, Sue L. McHale, and Anthony Meehan. "Executive attention, task selection and attention-based learning in a neurally controlled simulated robot." Neurocomputing 69, no. 16-18 (October 2006): 1923–45. http://dx.doi.org/10.1016/j.neucom.2005.11.018.

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15

DiGiovanni, Jeffrey J., Travis L. Riffle, and Naveen K. Nagaraj. "Attention-Controlled Working Memory Measures to Assess Listening Effort." Clinical Archives of Communication Disorders 2, no. 2 (August 31, 2017): 163–77. http://dx.doi.org/10.21849/cacd.2017.00108.

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Namazi, Mahchid, and Elin Thordardottir. "A working memory, not bilingual advantage, in controlled attention." International Journal of Bilingual Education and Bilingualism 13, no. 5 (September 2010): 597–616. http://dx.doi.org/10.1080/13670050.2010.488288.

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Lanagan, L. K., and C. M. Moore. "Contrasting the resolution of exogenously and endogenously controlled attention." Journal of Vision 3, no. 9 (March 16, 2010): 328. http://dx.doi.org/10.1167/3.9.328.

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18

Kinoshita, Sachiko, Luke Mills, and Dennis Norris. "The semantic Stroop effect is controlled by endogenous attention." Journal of Experimental Psychology: Learning, Memory, and Cognition 44, no. 11 (November 2018): 1730–42. http://dx.doi.org/10.1037/xlm0000552.

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19

Hurks, P. P. M., J. J. Adam, J. G. M. Hendriksen, J. S. H. Vles, F. J. M. Feron, A. C. Kalff, M. Kroes, et al. "Controlled Visuomotor Preparation Deficits in Attention-Deficit/Hyperactivity Disorder." Neuropsychology 19, no. 1 (2005): 66–76. http://dx.doi.org/10.1037/0894-4105.19.1.66.

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20

Semple, Randye J. "Does Mindfulness Meditation Enhance Attention? A Randomized Controlled Trial." Mindfulness 1, no. 2 (June 2010): 121–30. http://dx.doi.org/10.1007/s12671-010-0017-2.

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21

Grynszpan, Ouriel, Jacqueline Nadel, Jean-Claude Martin, and Philippe Fossati. "The awareness of joint attention." Interaction Studies 18, no. 2 (December 8, 2017): 234–53. http://dx.doi.org/10.1075/is.18.2.05gry.

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This study investigates a specific aspect of joint attention, that is, the emergence of the sense that one is leading the attentional focus of others. Thirty participants were placed in front of two avatars and had to pay attention to objects that were also attended to by the avatars. Unbeknownst to the participant, the avatars’ gaze orientations were alternately controlled by the participant’s eyes. Eye-tracking data were collected and participants were enquired about their experience to account for their sense of agency. Only five participants noticed that the avatars were following their gaze. The 25 participants who remained unaware that they controlled the avatars nevertheless modified their gazing behavior with an increase in direct gaze toward one of the avatars. This outcome highlights a dissociation between an implicit feeling that a change occurred and the explicit awareness of being the cause of this change.

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Villa, TR, AR Correa Moutran, LA Sobirai Diaz, MM Pereira Pinto, FA Carvalho, AA Gabbai, and D. de Souza Carvalho. "Visual Attention in Children With Migraine: A Controlled Comparative Study." Cephalalgia 29, no. 6 (June 2009): 631–34. http://dx.doi.org/10.1111/j.1468-2982.2008.01767.x.

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The aim of this study was to evaluate the visual attention of children with migraine and compare it with a control group. Thirty migrainous children and 30 controls without headache were subjected to a visual attention assessment with Trail Making Tests (TMT) A/B, Letter Cancellation Test, and the Brazilian computerized test Visual Attention Test, third edition. The migraine group was evaluated after 2 days without headache. The migraine group had an inferior performance compared with the control group on TMT A ( P = 0.03) and B ( P = 0.001), and more errors on tasks 1 ( P = 0.032) and 2 ( P = 0.015) of the Visual Attention Test, presenting difficulty with selective and alternate attention. Attention is a neurological function that depends on structures such as the brainstem, cerebral cortex and the limbic system and on neurotransmitters such as dopamine and noradrenaline. The neurochemical aspects involved in the physiopathology of migraine and attention mechanisms probably predispose these children to visual attention deficits.

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23

Brinck, Ingar. "Attention and the evolution of intentional communication." Pragmatics and Cognition 9, no. 2 (December 31, 2001): 259–77. http://dx.doi.org/10.1075/pc.9.2.05bri.

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Intentional communication is perceptually based and about attentional objects. Three attention mechanisms are distinguished: scanning, attention attraction, and attention-focusing. Attention-focusing directs the subject towards attentional objects. Attention-focusing is goal-governed (controlled by stimulus) or goal-intended (under the control of the subject). Attentional objects are perceptually categorised functional entities that emerge in the interaction between subjects and environment. Joint attention allows for focusing on the same attentional object simultaneously (mutual object-focused attention), provided that the subjects have focused on each other beforehand (subject-subject attention). It results in intentional communication if the subjects attend to each other as subjects (i) capable of attending, and (ii) attending in a goal-intended way. Intentional communication is fundamentally imperative and adapted to action.

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24

Cox, D. J., J. W. Humphrey, R. L. Merkel, J. K. Penberthy, and B. Kovatchev. "Controlled-Release Methylphenidate Improves Attention During On-Road Driving by Adolescents with Attention-Deficit/Hyperactivity Disorder." Journal of the American Board of Family Medicine 17, no. 4 (July 1, 2004): 235–39. http://dx.doi.org/10.3122/jabfm.17.4.235.

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25

Jensen, P. S. "Controlled-Release Methylphenidate Improves Attention During On-Road Driving by Adolescents With Attention-Deficit/Hyperactivity Disorder." Yearbook of Psychiatry and Applied Mental Health 2006 (January 2006): 47–48. http://dx.doi.org/10.1016/s0084-3970(08)70050-1.

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26

Cho, Yon Sang, Sung Jae Jun, and Heung Sik Park. "AGV System with Dual Motor Drive by Distributed Control." Key Engineering Materials 297-300 (November 2005): 2297–302. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.2297.

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With the recent progress in flexible manufacturing systems (FMS) in industry, increasing attention has been given to Automatic Guided Vehicle (AGV) systems. An AGV is a self-powered unit for transporting materials between stations without needing to be controlled by an operator. Such a system has several sensors to recognize the external state, and it is designed to travel between stations without external assistance. To manage each device quickly and independently it requires a distributed controller with a main computer as the host, as well as a number of micro-controllers. In this study, an AGV system with dual motor drive was constructed. A Pentium 4 personal computer was set up as the main host for the distributed control, and this communicated with other micro-controllers in the management of the motor. The speed of each motor was also controlled by a micro-controller.

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Cooper, R. E., E. Williams, S. Seegobin, C. Tye, J. Kuntsi, and P. Asherson. "Cannabinoids in attention-deficit/hyperactivity disorder: a randomised-controlled trial." European Neuropsychopharmacology 26 (October 2016): S130. http://dx.doi.org/10.1016/s0924-977x(16)30912-9.

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Stroganova, Tatiana A., Elena V. Orekhova, and Irina N. Posikera. "Externally and internally controlled attention in infants: an EEG study." International Journal of Psychophysiology 30, no. 3 (November 1998): 339–51. http://dx.doi.org/10.1016/s0167-8760(98)00026-9.

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29

Klimesch, Wolfgang. "Alpha-band oscillations, attention, and controlled access to stored information." Trends in Cognitive Sciences 16, no. 12 (December 2012): 606–17. http://dx.doi.org/10.1016/j.tics.2012.10.007.

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30

Ellis, Alissa J., Tony T. Wells, W. Michael Vanderlind, and Christopher G. Beevers. "The role of controlled attention on recall in major depression." Cognition and Emotion 28, no. 3 (September 6, 2013): 520–29. http://dx.doi.org/10.1080/02699931.2013.832153.

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31

Gibson, B. S., and T. A. Bryant. "What kind of attention is controlled by irrelevant symbolic cues?" Journal of Vision 5, no. 8 (March 17, 2010): 506. http://dx.doi.org/10.1167/5.8.506.

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32

Furley, Philip A., and Daniel Memmert. "Working Memory Capacity as Controlled Attention in Tactical Decision Making." Journal of Sport and Exercise Psychology 34, no. 3 (June 2012): 322–44. http://dx.doi.org/10.1123/jsep.34.3.322.

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The controlled attention theory of working memory capacity (WMC, Engle 2002) suggests that WMC represents a domain free limitation in the ability to control attention and is predictive of an individual’s capability of staying focused, avoiding distraction and impulsive errors. In the present paper we test the predictive power of WMC in computer-based sport decision-making tasks. Experiment 1 demonstrated that high-WMC athletes were better able at focusing their attention on tactical decision making while blocking out irrelevant auditory distraction. Experiment 2 showed that high-WMC athletes were more successful at adapting their tactical decision making according to the situation instead of relying on prepotent inappropriate decisions. The present results provide additional but also unique support for the controlled attention theory of WMC by demonstrating that WMC is predictive of controlling attention in complex settings among different modalities and highlight the importance of working memory in tactical decision making.

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Kobayashi, H., and T. Yoshida. "Do self-controlled objects "pop out"? A study of attention." Journal of Vision 14, no. 10 (August 22, 2014): 1069. http://dx.doi.org/10.1167/14.10.1069.

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Ankri, Y., O. Meiron, and Y. Braw. "Executive attention enhancement under stress: A TDCS randomized controlled trial." Brain Stimulation 10, no. 2 (March 2017): 350. http://dx.doi.org/10.1016/j.brs.2017.01.026.

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35

Wood, Greg, Samuel J. Vine, and Mark R. Wilson. "Working memory capacity, controlled attention and aiming performance under pressure." Psychological Research 80, no. 4 (May 29, 2015): 510–17. http://dx.doi.org/10.1007/s00426-015-0673-x.

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36

Cooper, Ruth E., Emma Williams, Seth Seegobin, Charlotte Tye, Jonna Kuntsi, and Philip Asherson. "Cannabinoids in attention-deficit/hyperactivity disorder: A randomised-controlled trial." European Neuropsychopharmacology 27, no. 8 (August 2017): 795–808. http://dx.doi.org/10.1016/j.euroneuro.2017.05.005.

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37

Berlucchi, G., GR Mangun, and MS Gazzaniga. "Visuospatial Attention and the Split Brain." Physiology 12, no. 5 (October 1, 1997): 226–31. http://dx.doi.org/10.1152/physiologyonline.1997.12.5.226.

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In callosotomy patients, the right hemisphere attends to the entire visual field, whereas the left hemisphere attends to the right field only. The occurence of rightward attentional biases, simulating a hemineglect from right hemisphere damage, suggests that in these patients visuospatial attention tends to be controlled by the left hemisphere.

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Kurland, Jacquie. "The Role That Attention Plays in Language Processing." Perspectives on Neurophysiology and Neurogenic Speech and Language Disorders 21, no. 2 (June 2011): 47–54. http://dx.doi.org/10.1044/nnsld21.2.47.

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Although the mechanism of attention is not entirely understood, there is widespread agreement that attention is a limited capacity processing system that can flexibly allocate resources to modulate signal detection and response for controlled action. With respect to language processing, a complex combination of automatic and controlled processing mechanisms, attention plays an important role in mediating the selection of competing candidates so that, for example, the correct word can be activated. The present review summarizes current views on attention mechanisms, types of attention, the neuroscience of attention, and its presumed role in language processing.

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Combes, Céline, Olga Volckaert-Legrier, and Pierre Largy. "Automatic or Controlled Writing?" SMS Communication: A linguistic approach 35, no. 2 (December 31, 2012): 199–217. http://dx.doi.org/10.1075/li.35.2.05com.

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The objective of this study was to attempt to distinguish the various processes of producing SMS spelling forms. The production of these different spelling forms was compared by means of an experimental paradigm: the dual task. This paradigm aimed at identifying the attentional resources necessary for the process of producing SMS spelling. Another way in which to address the degree of automation of these production processes was to compare SMS productions in terms of the level of SMS writing expertise. The results of this study demonstrated that the spelling forms produced in SMS language (eSMS), and therefore their production process, differ according to the degree of SMS writing expertise and the attention that the participants are able to devote to the SMS writing task. The results confirm that SMS writing represents a cognitive cost for novice texters and tends to become automatic as the users acquire expertise.

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Fillmore, Mark T., Richard Milich, and Elizabeth P. Lorch. "Inhibitory deficits in children with attention-deficit/hyperactivity disorder: Intentional versus automatic mechanisms of attention." Development and Psychopathology 21, no. 2 (April 1, 2009): 539–54. http://dx.doi.org/10.1017/s0954579409000297.

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AbstractApplication of theoretically based tasks to the study of the development of selective attention has led to intriguing new findings concerning the role of inhibitory mechanisms. This study examined inhibitory mechanisms using a countermanding task and an inhibition of return task to compare deficits in intentionally, versus reflexively, controlled inhibition of attention in children with attention deficit hyperactivity disorder. Fifty children with attention-deficit/hyperactivity disorder (ADHD) were classified into one of three subtypes: predominantly inattentive (ADHD/PI), combined (ADHD/C), and those children with ADHD/C who also met criteria for comorbid oppositional defiant disorder (ADHD/C + ODD). The groups were compared to a comparison group of children (n = 21). The countermanding task showed that the ADHD groups required more time to inhibit responses and this impairment did not differ among subtypes. With respect to reflexively controlled inhibition, compared with controls ADHD/C and ADHD/C + ODD groups showed impaired reflexive inhibition, whereas the ADHD/PI group was considerably less impaired. The findings highlight a dissociation between the two forms of inhibitory deficits among children with the inattentive subtype, and raise the possibility that the efficient operation of reflexive inhibitory mechanisms might be necessary for the development of effective intentional control of inhibition.

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Mondor, T. A., and M. P. Bryden. "On the Relation between Visual Spatial Attention and Visual Field Asymmetries." Quarterly Journal of Experimental Psychology Section A 44, no. 3 (April 1992): 529–55. http://dx.doi.org/10.1080/14640749208401297.

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In the typical visual laterality experiment, words and letters are more rapidly and accurately identified in the right visual field than in the left. However, while such studies usually control fixation, the deployment of visual attention is rarely restricted. The present studies investigated the influence of visual attention on the visual field asymmetries normally observed in single-letter identification and lexical decision tasks. Attention was controlled using a peripheral cue that provided advance knowledge of the location of the forthcoming stimulus. The time period between the onset of the cue and the onset of the stimulus (Stimulus Onset Asynchrony—SOA) was varied, such that the time available for attention to focus upon the location was controlled. At short SO As a right visual field advantage for identifying single letters and for making lexical decisions was apparent. However, at longer SOAs letters and words presented in the two visual fields were identified equally well. It is concluded that visual field advantages arise from an interaction of attentional and structural factors and that the attentional component in visual field asymmetries must be controlled in order to approximate more closely a true assessment of the relative functional capabilities of the right and left cerebral hemispheres.

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Hollingsworth, Deidre E., Sean P. McAuliffe, and Barbara J. Knowlton. "Temporal Allocation of Visual Attention in Adult Attention Deficit Hyperactivity Disorder." Journal of Cognitive Neuroscience 13, no. 3 (April 1, 2001): 298–305. http://dx.doi.org/10.1162/08989290151137359.

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In two experiments, we examined the ability of adults with attention deficit hyperactivity disorder (ADHD) to preocess multiple targets appearing in a rapid serial visual presentation (RSVP) stream. Using a standard attentional blink (AB) task, subjects were required to both identify a target in the RSVP stream and detect a probe appearing in one of several posttarget serial positions. In Experiment 1, ADHD adults exhibited a protracted AB compared to controls, in that their probe detection did not improve as a function of increasing probe-to-target intervals (450-720 msec). In Experiment 2, the ADHD group performed as well as controls in detectin probes appearing immediately (i.e., 90 msec) after the target. Taken together, the results demonstrate that adults with ADHD exhibit a selective deficit in rapidly shifting attention between the target and the probe, when two appear several hundred milliseconds apart. These results suggest that adults with ADHD can use automatic (reflexive) attention to detect items in close temporal proximity in the RSVP stream, but have difficulty allocating controlled attention to multiple stimuli separated by several hundred milliseconds.

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Lv, Shaobin, Guoqiang Chen, and Jun Dai. "Active Suspension Control Based on Particle Swarm Optimization." Recent Patents on Mechanical Engineering 13, no. 1 (February 12, 2020): 60–78. http://dx.doi.org/10.2174/2212797612666191118123838.

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Background: The active suspension can be adjusted in real time according to the change of road condition and vehicle state to enhance the performance of active suspension that has received widespread attention. Suspension control strategies and actuators are the key issues of the active suspension, and are the main research directions for active suspension patents. Objective: The numerical analysis method is proposed to study the performance characteristics of the active suspension controlled by different controllers. Methods: The active suspension control model and control strategy based on particle swarm optimization are established, and two active suspensions controlled by the sliding mode controller and the fuzzy PID controller are proposed. Moreover, two active suspension systems are optimized by particle swarm optimization. Results: The results of the analysis show that the performance of the active suspension is significantly improved compared with the passive suspension when the vehicle runs on the same road. The ride comfort of the active suspension controlled by the fuzzy PID controller has the best adaptive performance when the vehicle runs on different grade roads or white noise roads. The active suspension controlled by the fuzzy PID controller has the best ride comfort. Conclusion: A good control strategy can effectively improve the performance of the active suspension. To improve the performance of the active suspension, it can be controlled by utilizing different control strategies. The results lay a foundation for the active suspension experiments, the dynamic analysis and the optimization design of suspension structure.

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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 (March 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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45

Yang, Hui‐Ling, Hsin Chu, Ching‐Chiu Kao, Nae‐Fang Miao, Pi‐Chen Chang, Philip Tseng, Anthony Paul O'Brien, and Kuei‐Ru Chou. "Construction and evaluation of multidomain attention training to improve alertness attention, sustained attention, and visual‐spatial attention in older adults with mild cognitive impairment: A randomized controlled trial." International Journal of Geriatric Psychiatry 35, no. 5 (May 2020): 537–46. http://dx.doi.org/10.1002/gps.5269.

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46

Yang, Hui-Ling, Hsin Chu, Nae-Fang Miao, Pi-Chen Chang, Philip Tseng, Ruey Chen, Huei-Ling Chiu, Kondwani Joseph Banda, and Kuei-Ru Chou. "The Construction and Evaluation of Executive Attention Training to Improve Selective Attention, Focused Attention, and Divided Attention for Older Adults With Mild Cognitive Impairment: A Randomized Controlled Trial." American Journal of Geriatric Psychiatry 27, no. 11 (November 2019): 1257–67. http://dx.doi.org/10.1016/j.jagp.2019.05.017.

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47

Ha, Eun-Jung, and Dukhwan Lim. "Quantification of Attention in Mismatch Negativity(MMN) under Controlled Stimulus Parameters." Audiology and Speech Research 2, no. 2 (December 31, 2006): 135–40. http://dx.doi.org/10.21848/audiol.2006.2.2.135.

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48

Oades, R., B. Müller, U. Schall, S. Bender, and J. Wolstein. "AUTOMATIC VS. CONTROLLED ATTENTION IN SCHIZOPHRENIA: CONDITIONED BLOCKING AND SENSORY GATING." Behavioural Pharmacology 11, no. 3 & 4 (June 2000): 346. http://dx.doi.org/10.1097/00008877-200006000-00049.

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49

Womelsdorf, Thilo, and Stefan Everling. "Long-Range Attention Networks: Circuit Motifs Underlying Endogenously Controlled Stimulus Selection." Trends in Neurosciences 38, no. 11 (November 2015): 682–700. http://dx.doi.org/10.1016/j.tins.2015.08.009.

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Milliery, Maud, Martine Bouvard, Jacques Aupetit, and Jean Cottraux. "Sustained attention in patients with obsessive–compulsive disorder: a controlled study." Psychiatry Research 96, no. 3 (November 2000): 199–209. http://dx.doi.org/10.1016/s0165-1781(00)00210-9.

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Journal articles on the topic 'Controlled attention'

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