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Relevant bibliographies by topics / Mental imagery

Academic literature on the topic 'Mental imagery'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 March 2023

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Journal articles on the topic "Mental imagery"

1

Stanwick, Peter A. "Mental imagery." Journal of Organizational Change Management 9, no. 2 (April 1996): 47–65. http://dx.doi.org/10.1108/09534819610113739.

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Mohamed Darwish, Wafaa. "Mental Imagery." Journal of Applied Sports Science 3, no. 1 (March 1, 2013): 176–80. http://dx.doi.org/10.21608/jass.2013.86544.

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Nanay, Bence. "Unconscious mental imagery." Philosophical Transactions of the Royal Society B: Biological Sciences 376, no. 1817 (December 14, 2020): 20190689. http://dx.doi.org/10.1098/rstb.2019.0689.

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Historically, mental imagery has been defined as an experiential state—as something necessarily conscious. But most behavioural or neuroimaging experiments on mental imagery—including the most famous ones—do not actually take the conscious experience of the subject into consideration. Further, recent research highlights that there are very few behavioural or neural differences between conscious and unconscious mental imagery. I argue that treating mental imagery as not necessarily conscious (as potentially unconscious) would bring much needed explanatory unification to mental imagery research. It would also help us to reassess some of the recent aphantasia findings inasmuch as at least some subjects with aphantasia would be best described as having unconscious mental imagery. This article is part of the theme issue ‘Offline perception: voluntary and spontaneous perceptual experiences without matching external stimulation’.

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Nanay, Bence. "Multimodal mental imagery." Cortex 105 (August 2018): 125–34. http://dx.doi.org/10.1016/j.cortex.2017.07.006.

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Moulton, Samuel T., and Stephen M. Kosslyn. "Imagining predictions: mental imagery as mental emulation." Philosophical Transactions of the Royal Society B: Biological Sciences 364, no. 1521 (May 12, 2009): 1273–80. http://dx.doi.org/10.1098/rstb.2008.0314.

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We argue that the primary function of mental imagery is to allow us to generate specific predictions based upon past experience. All imagery allows us to answer ‘what if’ questions by making explicit and accessible the likely consequences of being in a specific situation or performing a specific action. Imagery is also characterized by its reliance on perceptual representations and activation of perceptual brain systems. We use this conception of imagery to argue that all imagery is simulation—more specifically, it is a specific type of simulation in which the mental processes that ‘run’ the simulation emulate those that would actually operate in the simulated scenario. This type of simulation, which we label emulation, has benefits over other types of simulations that merely mimic the content of the simulated scenario.

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Zhao, Binglei, and Sergio Della Sala. "Different representations and strategies in mental rotation." Quarterly Journal of Experimental Psychology 71, no. 7 (January 1, 2018): 1574–83. http://dx.doi.org/10.1080/17470218.2017.1342670.

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It is still debated whether holistic or piecemeal transformation is applied to carry out mental rotation (MR) as an aspect of visual imagery. It has been recently argued that various mental representations could be flexibly generated to perform MR tasks. To test the hypothesis that imagery ability and types of stimuli interact to affect the format of representation and the choice of strategy in performing MR task, participants, grouped as good or poor imagers, were assessed using four MR tasks, comprising two sets of ‘Standard’ cube figures and two sets of ‘non-Standard’ ones, designed by withdrawing cubes from the Standard ones. Both good and poor imagers performed similarly under the two Standard conditions. Under non-Standard conditions, good imagers performed much faster in non-Standard objects than Standard ones, whereas poor imagers performed much slower in non-Standard objects than Standard ones. These results suggested that (1) individuals did not differ in processing the integrated Standard object, whereas (2) in processing the non-Standard objects, various visual representations and strategies could be applied in MR by diverse individuals: Good imagers were more flexible in generating different visual representations, whereas poor imagers applied different strategies under different task demands.

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Stokes, Dustin. "Mental imagery and fiction." Canadian Journal of Philosophy 49, no. 6 (2019): 731–54. http://dx.doi.org/10.1080/00455091.2018.1442965.

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AbstractFictions evoke imagery, and their value consists partly in that achievement. This paper offers analysis of this neglected topic. Section 2 identifies relevant philosophical background. Section 3 offers a working definition of imagery. Section 4 identifies empirical work on visual imagery. Sections 5 and 6 criticize imagery essentialism, through the lens of genuine fictional narratives. This outcome, though, is not wholly critical. The expressed spirit of imagery essentialism is to encourage philosophers to ‘put the image back into the imagination’. The weakened conclusion is that while an image is not essential to imagining, it should be returned to our theories of imagination.

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Gavilan, Diana, and Maria Avello. "Brand-Evoked Mental Imagery: The Role of Brands in Eliciting Mental Imagery." SAGE Open 10, no. 4 (October 2020): 215824402097748. http://dx.doi.org/10.1177/2158244020977484.

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This research provides evidence of the role played by a brand in the stimulation of mental imagery. We anticipate that a familiar (vs. unfamiliar) brand will evoke higher levels of visual mental imagery in the consumer. In addition, if the consumer exhibits favorability toward the brand, the visual mental imagery evoked will be enhanced. Therefore, we provide evidence of the moderating role of brand favorability in the relationship between brand familiarity and visual mental imagery. Our findings suggest that brands are evocative and are able to enhance (or reduce) information processing and, thus, the generation of visual mental images that we name “brand-evoked mental imagery.” The results contribute to the literature on branding and mental imagery and have several practical implications for marketers.

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Rollins, Mark, Peter J. Hampson, David E. Marks, and John T. E. Richardson. "Mental Imagery: Current Developments." American Journal of Psychology 105, no. 1 (1992): 146. http://dx.doi.org/10.2307/1422990.

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Jordan, Kevin, and Ronald A. Finke. "Principles of Mental Imagery." American Journal of Psychology 104, no. 3 (1991): 460. http://dx.doi.org/10.2307/1423251.

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Dissertations / Theses on the topic "Mental imagery"

1

Hume, Ian R. "ESP and mental imagery." Thesis, Coventry University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396468.

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Bruzadin, Nunes Ugo. "Mental Imagery and Tracking." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/theses/2471.

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This study aimed to better understand visuomotor tracking and spatial visual imagery. 101 Participants performed four tasks: A Manual Tracking Task (MTT), in which participants mouse-tracked the path of a circle, sometimes with occlusion. A Multi-Object Tracking task (MOT), in which participants tracked several objects simultaneously. The Sussex Cognitive Styles Questionnaire (SCSQ), in which participants self-reported their experience with imagery. A Mental Rotation Task (MRT) in which participants mentally rotate Tetris-like objects. The results demonstrated a significant correlation between the technical/spatial subscale of the SCSQ and the occluded MTT, the MRT, the MOT but not the visible MTT. A multiple regression showed that occluded MTT and the MRT together significantly predicted the spatial/technical subscale of the SCSQ above visible MTT and MOT. These findings support the claim that the cognitive resources behind mental imagery may also be recruited during other tasks that arguably draw on the need for internal visualization.

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Spiller, Mary Jane. "Mental imagery in synaesthesia." Thesis, University of East London, 2009. http://roar.uel.ac.uk/3092/.

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The current thesis addressed the question of whether an internally generated mental image can elicit a concurrent in grapheme colour synaesthesia; although there is experimental and anecdotal evidence that this is the case, to date this had not been systematically explored. As there are purportedly distinct object-based and spatial-based imagery processes it was necessary to explore the role different imagery processes may play. In Experiment 1 synaesthetes and matched control groups completed a grapheme-based object-imagery task against congruently and incongruently coloured backgrounds. Four synaesthetes, but none of the control groups, showed an effect of colour on task performance. In Experiment 2 and 3 synaesthetes (and matched controls for Experiment 2) completed a grapheme-based spatial-imagery task, with either the stimuli or background colour manipulated as before. In each experiment colour was found to interact with grapheme presentation format for two different synaesthetes. Experiments 1-3 therefore provided support for the idea that an internally generated mental image can elicit a concurrent. Importantly, the results suggested a difference in the way the concurrent generated from object or spatial imagery processes influenced task performance. Consequently Experiments 4 and 5 used a battery of comparable imagery tasks that had either an object or spatial rate-limiting imagery process. Manipulation of the task background colour again showed the variety of effects the concurrent generated with these different imagery processes can have on task performance. Overall the results of these experiments suggest that a concurrent can be elicited from both object and spatial imagery processes; important individual differences were found, and individual performance varied between tasks, suggesting the possible role of strategy effects. Models of synaesthesia need to be able to explain these differences and further studies are needed to address this issue of task approach.

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馬婉婷 and Yuen-ting Olivia Ma. "Mental imagery & false memory." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B41715391.

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Campos, García Alfredo, and Clara Isabel Fernández. "Mental imagery in link system." Pontificia Universidad Católica del Perú, 2013. http://repositorio.pucp.edu.pe/index/handle/123456789/100007.

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Four experiments were carried out to explore the intluence of imaging capacity and image type (normal or bizarre) on immediate and delayed recall of word lists. Experiments 1 and 2 studied immediate serial recall of 16- and 28-item word lists, and experiments 3 and 4 studied serial recall of 16- and 28- item word lists one week after their presentation. Imaging capacity, as measured by the Space Scale of the Primary Mental Abilities Test, affected immediate recall of long lists. Image type affected immediate recall of short lists. In four experiments there was a significant difference between the performance of subjects who used mental imagery for recall and those who did not.
El artículo estudia a través de cuatro experimentos la influencia de la capacidad de los sujetos para formar imágenes y del tipo de imagen que utilizan, en el recuerdo serial inmediato y retardo de palabras. En los experimentos 1 y 2 se analiza la influencia de estas variables en el recuerdo serial inmediato de listas cortas (16 ítems) y largas (28 ítems), y en los experimentos 3 y 4 se investiga la influencia de las mismas variables en el recuerdo serial retardado (una semana). La capacidad de los sujetos de formar imágenes, medida a través de la Escala Espacial del Test de Aptitudes Mentales Primarías, influyó en el recuerdo serial inmediato de listas largas. El tipo ele imagen (normal y rara) influyó en el recuerdo inmediato serial de listas cortas. En todos los experimentos se encontró diferencia entre los sujetos que utilizaron imágenes mentales y los que no las utilizaron.

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Ma, Yuen-ting Olivia. "Mental imagery & false memory." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B41715391.

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Seepanomwan, Kristsana. "Mental imagery in humanoid robots." Thesis, University of Plymouth, 2016. http://hdl.handle.net/10026.1/4581.

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Mental imagery presents humans with the opportunity to predict prospective happenings based on own intended actions, to reminisce occurrences from the past and reproduce the perceptual experience. This cognitive capability is mandatory for human survival in this folding and changing world. By means of internal representation, mental imagery offers other cognitive functions (e.g., decision making, planning) the possibility to assess information on objects or events that are not being perceived. Furthermore, there is evidence to suggest that humans are able to employ this ability in the early stages of infancy. Although materialisation of humanoid robot employment in the future appears to be promising, comprehensive research on mental imagery in these robots is lacking. Working within a human environment required more than a set of pre-programmed actions. This thesis aims to investigate the use of mental imagery in humanoid robots, which could be used to serve the demands of their cognitive skills as in humans. Based on empirical data and neuro-imaging studies on mental imagery, the thesis proposes a novel neurorobotic framework which proposes to facilitate humanoid robots to exploit mental imagery. Through conduction of a series of experiments on mental rotation and tool use, the results from this study confirm this potential. Chapters 5 and 6 detail experiments on mental rotation that investigate a bio-constrained neural network framework accounting for mental rotation processes. They are based on neural mechanisms involving not only visual imagery, but also affordance encoding, motor simulation, and the anticipation of the visual consequences of actions. The proposed model is in agreement with the theoretical and empirical research on mental rotation. The models were validated with both a simulated and physical humanoid robot (iCub), engaged in solving a typical mental rotation task. The results show that the model is able to solve a typical mental rotation task and in agreement with data from psychology experiments, they also show response times linearly dependent on the angular disparity between the objects. Furthermore, the experiments in chapter 6 propose a novel neurorobotic model that has a macro-architecture constrained by knowledge on brain, which encompasses a rather general mental rotation mechanism and incorporates a biologically plausible decision making mechanism. The new model is tested within the humanoid robot iCub in tasks requiring to mentally rotate 2D geometrical images appearing on a computer screen. The results show that the robot has an enhanced capacity to generalize mental rotation of new objects and shows the possible effects of overt movements of the wrist on mental rotation. These results indicate that the model represents a further step in the identification of the embodied neural mechanisms that might underlie mental rotation in humans and might also give hints to enhance robots' planning capabilities. In Chapter 7, the primary purpose for conducting the experiment on tool use development through computational modelling refers to the demonstration that developmental characteristics of tool use identified in human infants can be attributed to intrinsic motivations. Through the processes of sensorimotor learning and rewarding mechanisms, intrinsic motivations play a key role as a driving force that drives infants to exhibit exploratory behaviours, i.e., play. Sensorimotor learning permits an emergence of other cognitive functions, i.e., affordances, mental imagery and problem-solving. Two hypotheses on tool use development are also conducted thoroughly. Secondly, the experiment tests two candidate mechanisms that might underlie an ability to use a tool in infants: overt movements and mental imagery. By means of reinforcement learning and sensorimotor learning, knowledge of how to use a tool might emerge through random movements or trial-and-error which might reveal a solution (sequence of actions) of solving a given tool use task accidentally. On the other hand, mental imagery was used to replace the outcome of overt movements in the processes of self-determined rewards. Instead of determining a reward from physical interactions, mental imagery allows the robots to evaluate a consequence of actions, in mind, before performing movements to solve a given tool use task. Therefore, collectively, the case of mental imagery in humanoid robots was systematically addressed by means of a number of neurorobotic models and, furthermore, two categories of spatial problem solving tasks: mental rotation and tool use. Mental rotation evidently involves the employment of mental imagery and this thesis confirms the potential for its exploitation by humanoid robots. Additionally, the studies on tool use demonstrate that the key components assumed and included in the experiments on mental rotation, namely affordances and mental imagery, can be acquired by robots through the processes of sensorimotor learning.

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Elkin, Jennifer. "Auditory imagery : a mental chronometric analysis." Thesis, University of Glasgow, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.439112.

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McLeay, Heather. "Imagery and the mental manipulation of knots." Thesis, Bangor University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311388.

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Holmes, E. A. "Mental imagery and emotion : a special relationship?" Thesis, University of Cambridge, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.604188.

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The central hypothesis examined in this thesis was that there is a special relationship between mental imagery and emotion, whereby using mental imagery has a more powerful effect on emotions such as anxiety than verbal processing of the same material. This assumption has long been held in the experimental and clinical literatures. However, empirical evidence has been lacking. The above hypothesis was tested using an interpretation training paradigm, in which participants were exposed to many event descriptions that always ended either negatively or positively, dependent on training condition. In Experiment 1, during training participants either generated mental images in response to descriptions of negative events, or thought about the verbal meaning of those events. Those in the imagery condition reported more anxiety, and rated new descriptions as more emotional, than did those in the verbal condition. Experiment 2 included groups exposed to benign or negative event descriptions. Anxiety again increased more after negative (though not benign) imagery, compared with verbal processing; however, in this experiment the emotionality ratings did not differ after a 10-minute filler task. Results did not appear to be due to demand. In Experiment 3, new positive training material was created to test whether the effects of imagery could be extended to positive mood. Convergent evidence for the hypothesis was then sought using an alternative method. Experiment 4, 5 and 6 used a modified evaluative conditioning paradigm. Neutral pictures and words were paired such that their combination generated emotional outcomes. The process of pairing was associated with greater emotion if performed using mental imagery versus sentence construction. Overall, results support the hypothesis of a special link between imagery and anxiety, and also positive affect, but leave open the question of whether this also applies to other emotions. Theoretical and clinical implications are discussed.

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Books on the topic "Mental imagery"

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Conference, American Association for the Study of Mental Imagery. Mental imagery. New York: Plenum Press, 1991.

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Kunzendorf, Robert G., ed. Mental Imagery. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-2623-4.

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Finke, Ronald A. Principles of mental imagery. Cambridge, Mass: MIT Press, 1989.

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Küssner, Mats B., Liila Taruffi, Georgia A. Floridou, Graham Welch, Ian Cross, and ADAM OCKELFORD. Music and Mental Imagery. London: Routledge, 2022. http://dx.doi.org/10.4324/9780429330070.

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1965-, Thompson William L., and Ganis Giorgio, eds. The case for mental imagery. Oxford: Oxford University Press, 2006.

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Kunzendorf, Robert G., and Anees Ahmad Sheikh. The Psychophysiology of Mental Imagery. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781315223506.

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Kosslyn, Stephen Michael. The case for mental imagery. New York, NY: Oxford University Press, 2005.

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Whitehead, John. "Visual imagery and mental arithmetic.". Salford: University of Salford, 1992.

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M, Behrmann, Kosslyn Stephen Michael 1948-, and Jeannerod Marc, eds. The Neuropsychology of mental imagery. Oxford: Pergamon, 1995.

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Tye, Michael. The imagery debate. Cambridge, Mass: MIT Press, 1991.

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Book chapters on the topic "Mental imagery"

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Khanfer, Riyad, John Ryan, Howard Aizenstein, Seema Mutti, David Busse, Ilona S. Yim, J. Rick Turner, et al. "Mental Imagery." In Encyclopedia of Behavioral Medicine, 1226. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_101066.

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Kosslyn, Stephen M. "Imagery, Mental." In Sensory System I, 35–36. Boston, MA: Birkhäuser Boston, 1988. http://dx.doi.org/10.1007/978-1-4899-6647-6_18.

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Kosslyn, Stephen M. "Imagery, Mental." In States of Brain and Mind, 44–45. Boston, MA: Birkhäuser Boston, 1988. http://dx.doi.org/10.1007/978-1-4899-6771-8_17.

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Kosslyn, Stephen M. "Imagery, Mental." In Learning and Memory, 75–76. Boston, MA: Birkhäuser Boston, 1989. http://dx.doi.org/10.1007/978-1-4899-6778-7_28.

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Gerth, Sebastian. "Mental Imagery." In Visuelle Kultivierung, 115–99. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-19993-7_3.

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Colombo, Barbara. "Mental Imagery." In Encyclopedia of the Sciences of Learning, 2187–91. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_15.

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Katz, Albert N. "Mental imagery." In Encyclopedia of psychology, Vol. 5., 187–91. Washington: American Psychological Association, 2000. http://dx.doi.org/10.1037/10520-088.

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Nicholls, Adam R. "Mental Imagery." In Psychology in Sports Coaching, 195–206. 3rd ed. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003201441-28.

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Kind, Amy. "Mental Imagery." In Mind, Cognition, and Neuroscience, 385–99. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003241898-28.

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Johnson, Marcia K. "Reflection, Reality Monitoring, and the Self." In Mental Imagery, 3–16. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4899-2623-4_1.

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Conference papers on the topic "Mental imagery"

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Yoon, Daesub, and N. Hari Narayanan. "Mental imagery in problem solving." In the Eye tracking research & applications symposium. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/968363.968382.

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Plebe, Alice, Riccardo Donà, Gastone Pietro Papini Rosati, and Mauro Da Lio. "Mental Imagery for Intelligent Vehicles." In 5th International Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007657500002179.

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Plebe, Alice, Riccardo Donà, Gastone Pietro Papini Rosati, and Mauro Da Lio. "Mental Imagery for Intelligent Vehicles." In 5th International Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007657500430051.

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Seepanomwan, Kristsana. "How mental imagery helps robot learning." In 2019 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT-NCON). IEEE, 2019. http://dx.doi.org/10.1109/ecti-ncon.2019.8692248.

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Rony, M. R., M. Asmawi, and Johansyah Lubis. "Petanque: Mental Imagery and Shooting Accuracy." In 4th International Conference on Sports Sciences and Health (ICSSH 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/ahsr.k.210707.005.

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Lathrop, Scott D., and John E. Laird. "Extending Cognitive Architectures with Mental Imagery." In 2nd Conference on Artificial General Intelligence 2009. Paris, France: Atlantis Press, 2009. http://dx.doi.org/10.2991/agi.2009.13.

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Petre, Marian, and Alan F. Blackwell. "A glimpse of expert programmers' mental imagery." In Papers presented at the seventh workshop. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/266399.266409.

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Di Nuovo, Alessandro, and Angelo Cangelosi. "Artificial Mental Imagery in Cognitive Robots Interaction." In 2015 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2015. http://dx.doi.org/10.1109/ssci.2015.23.

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Ko, Hsiu-Chia. "How Users' Mental Imagery and Mental Simulation Influence Their Urge to Buy Impulsively." In ICCMB 2020: 2020 The 3rd International Conference on Computers in Management and Business. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3383845.3383864.

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Malinauskas, Ramualdas Kazemirovich, and Aleksandr Leonidovich Kazakevich. "Mental imagery skills among cadets and junior wrestlers." In International research and practice conference. TSNS Interaktiv Plus, 2019. http://dx.doi.org/10.21661/r-485862.

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Reports on the topic "Mental imagery"

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Wintermute, Samuel, and Scott D. Lathrop. AI and Mental Imagery. Fort Belvoir, VA: Defense Technical Information Center, January 2008. http://dx.doi.org/10.21236/ada486517.

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Huang, Ran, and Sejin Ha. The Role of Need for Cognition in Consumers' Mental Imagery: A Study of Visual Social Media of Fashion Brands. Ames: Iowa State University, Digital Repository, November 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1307.

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Wendel, Sue. Insights into the Mental Imagery and Gestural Awareness of Representational Gestures Produced in Everyday Talk: An Exploratory Study of Using Participants' Comments as Data. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2642.

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del Val, Joaquin. UNA IMAGEN PUEDE MENTIR MÁS QUE MIL PALABRAS: el triste caso del Parque Geológico de Zhangye (China). ILUSTRE COLEGIO OFICIAL DE GEOLOGOS, February 2018. http://dx.doi.org/10.21028/jdv.2018.02.26.

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Clausen, Jay, Vuong Truong, Sophia Bragdon, Susan Frankenstein, Anna Wagner, Rosa Affleck, and Christopher Williams. Buried-object-detection improvements incorporating environmental phenomenology into signature physics. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45625.

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The ability to detect buried objects is critical for the Army. Therefore, this report summarizes the fourth year of an ongoing study to assess environ-mental phenomenological conditions affecting probability of detection and false alarm rates for buried-object detection using thermal infrared sensors. This study used several different approaches to identify the predominant environmental variables affecting object detection: (1) multilevel statistical modeling, (2) direct image analysis, (3) physics-based thermal modeling, and (4) application of machine learning (ML) techniques. In addition, this study developed an approach using a Canny edge methodology to identify regions of interest potentially harboring a target object. Finally, an ML method was developed to improve automatic target detection and recognition performance by accounting for environmental phenomenological conditions, improving performance by 50% over standard automatic target detection and recognition software.

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Ivanova, Halyna I., Olena O. Lavrentieva, Larysa F. Eivas, Iuliia O. Zenkovych, and Aleksandr D. Uchitel. The students' brainwork intensification via the computer visualization of study materials. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3859.

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The paper the approaches to the intensification of the students’ brainwork by means of computer visualization of study material have been disclosed. In general, the content of students’ brainwork has been presented as a type of activity providing the cognitive process, mastering the techniques and ways of thinking, developing the capabilities and abilities of the individual, the product of which is a certain form of information, as a result of the brainwork the outlook of the subject of work is enriched. It is shown the visualization is the process of presenting data in the form of an image with the aim of maximum ease of understanding; the giving process of visual form to any mental object. In the paper the content, techniques, methods and software for creating visualization tools for study material has exposed. The essence and computer tools for creating such types of visualization of educational material like mind maps, supporting notes and infographics have been illustrated; they have been concretized from the point of view of application in the course of studying the mathematical sciences. It is proved the use of visualization tools for study materials helps to increase the intensity and effectiveness of students’ brainwork. Based on the results of an empirical study, it has been concluded the visualization of study materials contributes to the formation of students’ key intellectual competencies and forming their brainwork culture.

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