Relevant bibliographies by topics / Imagery ability

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Imagery ability'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 January 2023

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Journal articles on the topic "Imagery ability"

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Williams, Sarah E., and Jennifer Cumming. "Measuring Athlete Imagery Ability: The Sport Imagery Ability Questionnaire." Journal of Sport and Exercise Psychology 33, no. 3 (June 2011): 416–40. http://dx.doi.org/10.1123/jsep.33.3.416.

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This research aimed to develop and provide initial validation of the Sport Imagery Ability Questionnaire (SIAQ). The SIAQ assesses athletes’ ease of imaging different types of imagery content. Following an extensive pilot study, 375 athletes completed a 20-item SIAQ in Study 1. Exploratory factor analysis revealed a 4-factor model assessing skill, strategy, goal, and affect imagery ability. Confirmatory factor analysis (CFA) established this 4-factor structure in Study 2 (N = 363 athletes). In Study 3 (N = 438 athletes), additional items were added to create a fifth mastery imagery subscale that was confirmed through CFA. Study 4 (N = 220 athletes) compared the SIAQ to the Movement Imagery Questionnaire-3. Significant bivariate correlations (p < .05) confirmed the SIAQ’s concurrent validity but demonstrated differences in imagery ability of different content. Overall, the SIAQ demonstrates good factorial validity, internal and temporal reliability, invariance across gender, and an ability to distinguish among athletes of different competitive levels. Findings highlight the importance of separately assessing imagery ability of different content.
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Gregg, Melanie, Craig Hall, and Esther Nederhof. "The Imagery Ability, Imagery Use, and Performance Relationship." Sport Psychologist 19, no. 1 (March 2005): 93–99. http://dx.doi.org/10.1123/tsp.19.1.93.

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Anuar, Nurwina, Jennifer Cumming, and Sarah Williams. "Emotion Regulation Predicts Imagery Ability." Imagination, Cognition and Personality 36, no. 3 (August 20, 2016): 254–69. http://dx.doi.org/10.1177/0276236616662200.

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This study explored the relationship between athletes’ emotion regulation and imagery ability. A total of 648 athletes (57% female; Mage = 20.79 years, SD = 4.36) completed the Sport Imagery Ability Questionnaire (SIAQ) and Emotion Regulation Questionnaire (ERQ). Structural equation modeling supported the hypothesized model in which reappraisal positively predicted all SIAQ subscales. However, suppression had no significant association with imagery ability despite being predicted to be negatively associated. Results support the revised applied model of deliberate imagery use that individual characteristics will influence the imagery experience. Specifically, athletes who reappraise their emotions more frequently find it easier to image sport related content.
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Corlett, John T., John Anton, Steve Kozub, and Michel Tardif. "Is Locomotor Distance Estimation Guided by Visual Imagery?" Perceptual and Motor Skills 69, no. 3_suppl (December 1989): 1267–72. http://dx.doi.org/10.2466/pms.1989.69.3f.1267.

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70 subjects were tested for their visual subscale scores on the Movement Imagery Questionnaire and also for their ability to walk, without vision, to a previously viewed target location 9 m away. Imagery ability was hypothesized to correlate with accuracy of “blind” target-directed walking which the literature suggests, without empirical support, is imagery-dependent. No support for this hypothesis was found. Low, medium, and high imagers showed no differences in ability to reproduce target distance accurately or consistently by walking the estimated distance without further visual updating. The results call into question whether task performance is imagery-based or whether subjects use alternative strategies to approach the target.
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Corlett, John T., John Anton, Steve Kozub, and Michel Tardif. "Is Locomotor Distance Estimation Guided by Visual Imagery?" Perceptual and Motor Skills 69, no. 3-2 (December 1989): 1267–72. http://dx.doi.org/10.1177/00315125890693-237.

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70 subjects were tested for their visual subscale scores on the Movement Imagery Questionnaire and also for their ability to walk, without vision, to a previously viewed target location 9 m away. Imagery ability was hypothesized to correlate with accuracy of “blind” target-directed walking which the literature suggests, without empirical support, is imagery-dependent. No support for this hypothesis was found. Low, medium, and high imagers showed no differences in ability to reproduce target distance accurately or consistently by walking the estimated distance without further visual updating. The results call into question whether task performance is imagery-based or whether subjects use alternative strategies to approach the target.
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Hall, Craig, John Pongrac, and Eric Buckholz. "The measurement of imagery ability." Human Movement Science 4, no. 2 (June 1985): 107–18. http://dx.doi.org/10.1016/0167-9457(85)90006-5.

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Gothard, Andrew, Daniel Jones, Andre Green, Michael Torrez, Alessandro Cattaneo, and David Mascareñas. "Digital coded exposure formation of frames from event-based imagery." Neuromorphic Computing and Engineering 2, no. 1 (January 28, 2022): 014005. http://dx.doi.org/10.1088/2634-4386/ac4917.

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Abstract Event-driven neuromorphic imagers have a number of attractive properties including low-power consumption, high dynamic range, the ability to detect fast events, low memory consumption and low band-width requirements. One of the biggest challenges with using event-driven imagery is that the field of event data processing is still embryonic. In contrast, decades worth of effort have been invested in the analysis of frame-based imagery. Hybrid approaches for applying established frame-based analysis techniques to event-driven imagery have been studied since event-driven imagers came into existence. However, the process for forming frames from event-driven imagery has not been studied in detail. This work presents a principled digital coded exposure approach for forming frames from event-driven imagery that is inspired by the physics exploited in a conventional camera featuring a shutter. The technique described in this work provides a fundamental tool for understanding the temporal information content that contributes to the formation of a frame from event-driven imagery data. Event-driven imagery allows for the application of arbitrary virtual digital shutter functions to form the final frame on a pixel-by-pixel basis. The proposed approach allows for the careful control of the spatio-temporal information that is captured in the frame. Furthermore, unlike a conventional physical camera, event-driven imagery can be formed into any variety of possible frames in post-processing after the data is captured. Furthermore, unlike a conventional physical camera, coded-exposure virtual shutter functions can assume arbitrary values including positive, negative, real, and complex values. The coded exposure approach also enables the ability to perform applications of industrial interest such as digital stroboscopy without any additional hardware. The ability to form frames from event-driven imagery in a principled manner opens up new possibilities in the ability to use conventional frame-based image processing techniques on event-driven imagery.
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Gregg, Melanie, Craig Hall, Erin McGowan, and Nathan Hall. "The Relationship between Imagery Ability and Imagery Use among Athletes." Journal of Applied Sport Psychology 23, no. 2 (April 28, 2011): 129–41. http://dx.doi.org/10.1080/10413200.2010.544279.

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Guerrero, Michelle, and Krista Munroe-Chandler. "Examining Children’s Physical Activity, Imagery Ability, and Active Play Imagery." Imagination, Cognition and Personality 37, no. 4 (November 7, 2017): 412–29. http://dx.doi.org/10.1177/0276236617739398.

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Houtz, John C., and Alan D. Frankel. "Hemisphericity and Problem-Solving Ability." Perceptual and Motor Skills 66, no. 3 (June 1988): 771–74. http://dx.doi.org/10.2466/pms.1988.66.3.771.

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149 freshmen undergraduates were administered the Higher Information Processing Scale and an anagram problem-solving task. Single-solution anagrams were chosen from lists of age-appropriate vocabulary words high in concrete imagery or low in imagery (abstract). Small but significant correlations were obtained between number of concrete anagrams solved and right- and integrated-hemispheric preference scores, respectively. Students categorized as “integrated preference” solved more high-imagery anagrams than any other group. Results lend support to the hypothesis that brain hemisphere specializations may exist but integration of the hemispheres may yield best performance.
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Dissertations / Theses on the topic "Imagery ability"

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Roberts, Ross. "Imagery perspectives, imagery ability, and personality." Thesis, Bangor University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.505955.

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Williams, Sarah E. "Athlete imagery ability and effective imagery use." Thesis, University of Birmingham, 2011. http://etheses.bham.ac.uk//id/eprint/892/.

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The aim of this thesis was to extend existing imagery ability literature. After reviewing the literature in Chapter 1, Chapter 2 validated and modified the Movement Imagery Questionnaire-Revised to provide a more comprehensive assessment of movement imagery ability. Known as the Movement Imagery Questionnaire-3, it was employed in Chapter 3 to examine the influence of prior movement and prior observation on an individual’s external visual imagery, internal visual imagery, and kinaesthetic imagery ability. The Sport Imagery Ability Questionnaire (SIAQ) was developed and extensively validated in Chapter 4 to provide a more comprehensive measure of athlete imagery ability. Chapter 5 demonstrated the SIAQ’s predictive validity by investigating the interplay between imagery ability, trait confidence, and challenge and threat appraisal tendencies. Finally Chapter 6 used the SIAQ as a screening tool when investigating whether imagery could be used to alter the appraisal of a stress-evoking scenario. Overall, the thesis has resulted in two new valid and reliable assessments of imagery ability. Additionally, this research extends imagery ability literature by establishing how imagery ability can be improved, demonstrating imagery ability’s association with various outcomes, and highlighting the importance of assessing different imagery content.
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Anuar, Nurwina Akmal Binti. "Imagery ability in sport and movement." Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7125/.

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This thesis investigated how propositions of the Revised Applied Model for Deliberate Imagery Use (RAMDIU) related to imagery ability. Chapter 2 and 3 established that PETTLEP imagery can improve the ease and vividness of internal, external and kinesthetic imagery of movements. Participants perceived the physical and environments elements of the PETTLEP model to be the most helpful for imaging easily and vividly. Chapter 4 investigated the use of these two elements in athletes’ ease of imaging five different types of sport imagery (i.e., skill, strategy, mastery, goal, and affect). The findings revealed positive associations between the use of physical and environment PETTLEP elements and ease of imaging all five imagery types. The findings of Chapters 2 to 4 suggest that the use of physical environment elements will likely result in greater ease of imaging cognitive and motivational imagery content and that the relationship between “What (type) & How” and “Imagery Ability” in the RAMDIU should be bi-directional. Chapter 5 explored the RAMDIU “Who” component by investigating whether emotion regulation in was associated with their sport imagery ability. Only emotional reappraisal was positively related with “Imagery Ability”. Overall, the thesis establishing that imagery ability can be influenced by the individual’s characteristics and how athletes image. Practitioners should consider athletes’ characteristics and how they are going to image to maximize the effectiveness of the imagery intervention in achieving the desired outcome(s).
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Dean, Graham Mark. "The function of imagery in cognition." Thesis, Lancaster University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386465.

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Bolles, Gina. "An Exploratory study : the intersection of imagery ability, imagery use, and learning style /." Connect to title online (Scholars' Bank), 2008. http://hdl.handle.net/1794/7478.

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Bolles, Gina 1981. "An Exploratory Study: The Intersection of Imagery Ability, Imagery Use, and Learning Style." Thesis, University of Oregon, 2008. http://hdl.handle.net/1794/7478.

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xi, 65 p. A print copy of this title is available through the UO Libraries. Search the library catalog for the location and call number.
This study explores the intersection of the individual's imagery ability, imagery use in dance training and performance, and learning style. Thirty-four intermediate-level ballet and modem dance students at the University of Oregon completed the Movement Imagery Questionnaire-Revised (MIQ-R) and Kolb's Learning Style Inventory-3 (LSI-3). The four highest imagers and the four lowest imagers participated in interviews. Thirty of 34 subjects averaged MIQ-R scores indicating relative ease when imaging. On the LSI-3, 27 subjects reported a preference for "feeling" over ''thinking'' when gathering information for learning. Data revealed differences between perceived imagery ability and ability as determined by the MIQ-R for both high and low imagers. High imagers also recalled early exposure to imagery in dance while the low imagers did not. The research suggests that imagery may be a good pedagogic tactic for reaching "feeling" dance learners. This thesis includes my co-authored materials.
Adviser: Steven J Chatfield
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Lovell, G. P. "The movement mental imagery ability and acquisition rate relationship." Thesis, Manchester Metropolitan University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246261.

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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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Yang, Ellie Fan. "The impact of imagery ability on image vividness : the case of HPV vaccine advertising." HKBU Institutional Repository, 2013. http://repository.hkbu.edu.hk/etd_ra/1536.

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Eslinger, Oliver Warren. "Mental imagery ability in high and low performance collegiate basketball players." Thesis, Boston University, 2002. https://hdl.handle.net/2144/33468.

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Thesis (Ed.D.)--Boston University
PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.
172 college basketball players (56 males, 116 females) from NCAA Divisions I, II, and III were analyzed to determine how mental imagery ability (lA) relates to high and low physical performance. Investigation centered on performance lA (the ability to create, recall, and manipulate images during action) as a potential factor for competitive separation (athletic distinction between high and low performers). More specifically, research examined which of several imagery functions or types were the best predictors of successful basketball game performance. It was hypothesized that kinesthetic imagery and cognitive imagery would be the most important imagery functions. The Basketball Background Questionnaire (BBQ; Eslinger, 2002), Movement Imagery Questionnaire-Revised (MIQ-R; Hall & Martin, 1997), and the Sport Imagery Questionnaire (SIQ; Hall, Mack, Paivio, & Hausenblas, 1998) were utilized as measures of lA while physical performance was calculated using the Basketball-Performance Statistic Rating (B-PSR; Eslinger, 2002). Additional data was collected from selected athletes to identify characteristics related to imagery use and development. Results from correlation, multiple regression, t-tests, ANOVA, and discriminant function analyses suggest that, in general, basketball performance is best enhanced through kinesthetic imagery and motivational specific imagery. Elite players are able to perform consistently at a high level because they have an ability to feel the action and increase their internal drive for success before and during games. Surprisingly, cognitive general imagery scores were higher in low-level players, suggesting these athletes think "too much" during competition. In addition, depending on gender, playing position, and NCAA division, other types of imagery may be important influences of performance. Differences and associations between high and low performers and imagers as they relate to the B-PSR and seven types of imagery ability are discussed. A new model of performance imagery is highlighted based on previous theories and current results. Directions for future research are covered that shape sport psychology research, application, and possible imagery training techniques for basketball players and coaches.
2031-01-01
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Books on the topic "Imagery ability"

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Goss, Susan Kathryn. Imagery ability and learning of four movement patterns. Eugene: Microform Publications, College of Human Development and Performance, University ofOregon, 1985.

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Provvidenza, Christine Frances. The impact of a self-directed imagery package on the imagery ability and imagery use of figure skaters. Ottawa: National Library of Canada, 2002.

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Secrets of creative visualization. York Beach, Me: S. Weiser, 1999.

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Ophiel, ed. The art & practice of creative visualization. York Beach, Me: Samuel Weiser, 1997.

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Kyshtymova, I. M. Psikhosemiotika kreativnosti. Irkutsk: Irkutskiĭ gos. universitet, 2008.

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Daydreaming: Using waking fantasy and imagery for self-knowledge and creativity. Los Angeles: J.P. Tarcher, 1990.

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Klinger, Eric. Daydreaming: Using waking fantasy and imagery for self-knowledge and creativity. Los Angeles: J.P. Tarcher, 1990.

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Abdulgabbar, Adel S. The effect of imagery ability on imitation of a closed-motor task. [s.l.]: typescript, 1990.

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Source imagery: Releasing the power of your creativity. New York: Doubleday, 1989.

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Creative imagery: Discoveries and inventions in visualization. Hillsdale, N.J: L. Erlbaum Associates, 1990.

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Book chapters on the topic "Imagery ability"

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Wallace, Benjamin. "Hypnotic Susceptibility, Imaging Ability, and Information Processing: An Integrative Look." In Mental Imagery, 89–100. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4899-2623-4_11.

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Hagn, Korbinian, and Oliver Grau. "Optimized Data Synthesis for DNN Training and Validation by Sensor Artifact Simulation." In Deep Neural Networks and Data for Automated Driving, 127–47. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-01233-4_4.

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AbstractSynthetic, i.e., computer-generated imagery (CGI) data is a key component for training and validating deep-learning-based perceptive functions due to its ability to simulate rare cases, avoidance of privacy issues, and generation of pixel-accurate ground truth data. Today, physical-based rendering (PBR) engines simulate already a wealth of realistic optical effects but are mainly focused on the human perception system. Whereas the perceptive functions require realistic images modeled with sensor artifacts as close as possible toward the sensor, the training data has been recorded. This chapter proposes a way to improve the data synthesis process by application of realistic sensor artifacts. To do this, one has to overcome the domain distance between real-world imagery and the synthetic imagery. Therefore, we propose a measure which captures the generalization distance of two distinct datasets which have been trained on the same model. With this measure the data synthesis pipeline can be improved to produce realistic sensor-simulated images which are closer to the real-world domain. The proposed measure is based on the Wasserstein distance (earth mover’s distance, EMD) over the performance metric mean intersection-over-union (mIoU) on a per-image basis, comparing synthetic and real datasets using deep neural networks (DNNs) for semantic segmentation. This measure is subsequently used to match the characteristic of a real-world camera for the image synthesis pipeline which considers realistic sensor noise and lens artifacts. Comparing the measure with the well-established Fréchet inception distance (FID) on real and artificial datasets demonstrates the ability to interpret the generalization distance which is inherent asymmetric and more informative than just a simple distance measure. Furthermore, we use the metric as an optimization criterion to adapt a synthetic dataset to a real dataset, decreasing the EMD distance between a synthetic and the Cityscapes dataset from 32.67 to 27.48 and increasing the mIoU of our test algorithm () from 40.36 to $$47.63\%$$ 47.63 % .
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Lengstorf, Jason. "Adding the Ability to Upload Images." In PHP for Absolute Beginners, 207–60. Berkeley, CA: Apress, 2010. http://dx.doi.org/10.1007/978-1-4302-2474-7_8.

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Dondero, Maria Giulia. "Images and Their Ability to Negate." In Studies in Universal Logic, 321–36. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94452-0_17.

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Wang, Xiao, Yuanyuan Zhang, Shengnan Yu, Xiwei Liu, and Fei-Yue Wang. "Computerized Adaptive English Ability Assessment Based on Deep Learning." In Image and Video Technology, 158–71. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92753-4_13.

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Belton, Niamh, Ivan Welaratne, Adil Dahlan, Ronan T. Hearne, Misgina Tsighe Hagos, Aonghus Lawlor, and Kathleen M. Curran. "Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability." In Medical Image Understanding and Analysis, 71–86. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80432-9_6.

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Yang, Jingyun, Jie Hu, Yicong Li, Heng Liu, and Yang Li. "Joint PVL Detection and Manual Ability Classification Using Semi-supervised Multi-task Learning." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 453–63. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87234-2_43.

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Kurotaki, Riho, Yoshinari Takegawa, and Keiji Hirata. "Proposal of an Erasure-Oriented Drawing Style to Develop the Ability to Copy Images." In Entertainment Computing – ICEC 2017, 233–39. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66715-7_26.

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Ji, Zhi. "A Multi-modal Seq2seq Chatbot Framework." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 225–33. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_24.

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AbstractThe pandemic has forced young people to stay away from school and friends, complete online learning at home and live at home. Therefore, various mental illnesses such as anxiety and depression occur more frequently. Chatbot is a communication method that is more acceptable to young people. This paper proposes a multi-modal chatbot seq2seq framework, which divides the mental state of young people into different types through multi-modal information such as text and images entered by users in the chatbot. This model combines image description and text summarization modules with the attention mechanism in a multi-modal model to control related content in different modalities. Experiments on multi-modal data sets show that this method has 70% average accuracy and real users who use this system also believe that this method has good judgment ability.
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Guillot, Aymeric, Magali Louis, and Christian Collet. "Neurophysiological substrates of motor imagery ability." In The neurophysiological foundations of mental and motor imagery, 109–24. Oxford University Press, 2010. http://dx.doi.org/10.1093/acprof:oso/9780199546251.003.0008.

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Conference papers on the topic "Imagery ability"

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Ghafoor, Usman, M. N. Afzal Khan, and Keum-Shik Hong. "Visual Training Improves Motor Imagery Ability for Rehabilitation." In 2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS). IEEE, 2021. http://dx.doi.org/10.1109/aims52415.2021.9466048.

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Guan, Shuyue, and Murray Loew. "Understanding the Ability of Deep Neural Networks to Count Connected Components in Images." In 2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR). IEEE, 2020. http://dx.doi.org/10.1109/aipr50011.2020.9425331.

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Alikaj, A., A. Büyükaslan, S. Uğurlu, and B. Dilek. "AB1438-HPR The assessment of imagery ability in patients with familial mediterranean fever." In Annual European Congress of Rheumatology, EULAR 2018, Amsterdam, 13–16 June 2018. BMJ Publishing Group Ltd and European League Against Rheumatism, 2018. http://dx.doi.org/10.1136/annrheumdis-2018-eular.5669.

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CREMADES, J. G., M. TITO, M. ADJOUADI, and A. BARRETO. "USE OF EEG RECORDINGS AS VALID MEASURES OF KINESTHETIC AND VISUAL IMAGERY ABILITY." In Proceedings of the International Conference. WORLD SCIENTIFIC, 2005. http://dx.doi.org/10.1142/9789812702098_0051.

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Wu, Yuanjie, Stephan Lukosch, Heide Lukosch, Robert W. Lindeman, Ryan Douglas McKee, Shunsuke Fukuden, Cameron Ross, and Dave Collins. "Feasibility of Training Elite Athletes for Improving their Mental Imagery Ability Using Virtual Reality." In 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE, 2022. http://dx.doi.org/10.1109/vrw55335.2022.00172.

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Shi, Chenyun, Lei Liu, Chao Zhang, and Xiaopei Wu. "To Investigate the Ability of CNN in Learning Specific Frequency Band of Motor Imagery EEG." In 2022 7th International Conference on Signal and Image Processing (ICSIP). IEEE, 2022. http://dx.doi.org/10.1109/icsip55141.2022.9886619.

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Saha, Srilekha, Soumendra Saha, Nurfarrah Ezzaty Mohd Zahir, and Foujia Huda. "COMPARATIVE EFFICACY OF IMAGERY-BASED RELAXATION AND ABBREVIATED MUSCLE RELAXATION TRAINING ON REACTION ABILITY OF NETBALL PLAYERS." In Movement, Health and Exercise 2014 Conference. Universiti Malaysia Pahang, 2014. http://dx.doi.org/10.15282/mohe.2014.hms.044.

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Saha, Srilekha, Soumendra Saha, Nurfarrah Ezzaty Mohd Zahir, and Foujia Huda. "COMPARATIVE EFFICACY OF IMAGERY-BASED RELAXATION AND ABBREVIATED MUSCLE RELAXATION TRAINING ON REACTION ABILITY OF NETBALL PLAYERS." In Movement, Health & Exercise (MoHE) Conference 2014. Universiti Malaysia Pahang, 2014. http://dx.doi.org/10.15282/mohe.2014.hms.44.

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Williams, Christopher B., John Gero, Yoon Lee, and Marie Paretti. "Exploring Spatial Reasoning Ability and Design Cognition in Undergraduate Engineering Students." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28925.

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This paper presents preliminary results from the first phase of a longitudinal study of design cognition and the effects of design education on design practice. The study aims to monitor the development of engineering design thinking through a three-year protocol study of control and experimental groups of engineering students. Using innovations in cognitive science that include ontologically-based coding of protocols and new methods of protocol analysis, the study is intended to characterize students’ cognitive development, identify differences over time, and relate those differences to students’ educational experiences. The first phase of this study focuses on assessing students’ spatial reasoning ability. Spatial reasoning is the ability to process and form ideas through spatial relationships among objects. It has been found to correlate strongly with the design ability associated with one’s ability to generate, conceptualize, and communicate solutions to problems. Sophomore students entering two different majors took four spatial reasoning tests (Paper Folding, Vandenberg, Mental Rotation, and Spatial Imagery Ability) that addressed their ability to visualize objects and mentally manipulate them over an ordered sequence of spatial transformations. The results of these tests are presented in this paper. Tests were conducted to determine statistical significance in order to evaluate whether a student’s spatial reasoning ability correlates with their choice of engineering major. The students’ test performances are also compared with existing data from other fields (e.g., architecture, visual arts, science, and humanities).
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Teillet, Suzy, Fabien Lotte, Bernard N'Kaoua, and Camille Jeunet. "Towards a spatial ability training to improve Mental Imagery based Brain-Computer Interface (MI-BCI) performance: A Pilot study." In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2016. http://dx.doi.org/10.1109/smc.2016.7844803.

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Reports on the topic "Imagery ability"

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Bhatt, Parth, Curtis Edson, and Ann MacLean. Image Processing in Dense Forest Areas using Unmanned Aerial System (UAS). Michigan Technological University, September 2022. http://dx.doi.org/10.37099/mtu.dc.michigantech-p/16366.

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Imagery collected via Unmanned Aerial System (UAS) platforms has become popular in recent years due to improvements in a Digital Single-Lens Reflex (DSLR) camera (centimeter and sub-centimeter), lower operation costs as compared to human piloted aircraft, and the ability to collect data over areas with limited ground access. Many different application (e.g., forestry, agriculture, geology, archaeology) are already using and utilizing the advantages of UAS data. Although, there are numerous UAS image processing workflows, for each application the approach can be different. In this study, we developed a processing workflow of UAS imagery collected in a dense forest (e.g., coniferous/deciduous forest and contiguous wetlands) area allowing users to process large datasets with acceptable mosaicking and georeferencing errors. Imagery was acquired with near-infrared (NIR) and red, green, blue (RGB) cameras with no ground control points. Image quality of two different UAS collection platforms were observed. Agisoft Metashape, a photogrammetric suite, which uses SfM (Structure from Motion) techniques, was used to process the imagery. The results showed that an UAS having a consumer grade Global Navigation Satellite System (GNSS) onboard had better image alignment than an UAS with lower quality GNSS.
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Cohen, Yafit, Carl Rosen, Victor Alchanatis, David Mulla, Bruria Heuer, and Zion Dar. Fusion of Hyper-Spectral and Thermal Images for Evaluating Nitrogen and Water Status in Potato Fields for Variable Rate Application. United States Department of Agriculture, November 2013. http://dx.doi.org/10.32747/2013.7594385.bard.

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Potato yield and quality are highly dependent on an adequate supply of nitrogen and water. Opportunities exist to use airborne hyperspectral (HS) remote sensing for the detection of spatial variation in N status of the crop to allow more targeted N applications. Thermal remote sensing has the potential to identify spatial variations in crop water status to allow better irrigation management and eventually precision irrigation. The overall objective of this study was to examine the ability of HS imagery in the visible and near infrared spectrum (VIS-NIR) and thermal imagery to distinguish between water and N status in potato fields. To lay the basis for achieving the research objectives, experiments in the US and in Israel were conducted in potato with different irrigation and N-application amounts. Thermal indices based merely on thermal images were found sensitive to water status in both Israel and the US in three potato varieties. Spectral indices based on HS images were found suitable to detect N stress accurately and reliably while partial least squares (PLS) analysis of spectral data was more sensitive to N levels. Initial fusion of HS and thermal images showed the potential of detecting both N stress and water stress and even to differentiate between them. This study is one of the first attempts at fusing HS and thermal imagery to detect N and water stress and to estimate N and water levels. Future research is needed to refine these techniques for use in precision agriculture applications.
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Cook, Samantha, Matthew Bigl, Sandra LeGrand, Nicholas Webb, Gayle Tyree, and Ronald Treminio. Landform identification in the Chihuahuan Desert for dust source characterization applications : developing a landform reference data set. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45644.

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ERDC-Geo is a surface erodibility parameterization developed to improve dust predictions in weather forecasting models. Geomorphic landform maps used in ERDC-Geo link surface dust emission potential to landform type. Using a previously generated southwest United States landform map as training data, a classification model based on machine learning (ML) was established to generate ERDC-Geo input data. To evaluate the ability of the ML model to accurately classify landforms, an independent reference landform data set was created for areas in the Chihuahuan Desert. The reference landform data set was generated using two separate map-ping methodologies: one based on in situ observations, and another based on the interpretation of satellite imagery. Existing geospatial data layers and recommendations from local rangeland experts guided site selections for both in situ and remote landform identification. A total of 18 landform types were mapped across 128 sites in New Mexico, Texas, and Mexico using the in situ (31 sites) and remote (97 sites) techniques. The final data set is critical for evaluating the ML-classification model and, ultimately, for improving dust forecasting models.
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Marshall, Amber, Krystle Turner, Carol Richards, Marcus Foth, Michael Dezuanni, and Tim Neale. A case study of human factors of digital AgTech adoption: Condamine Plains, Darling Downs. Queensland University of Technology, December 2021. http://dx.doi.org/10.5204/rep.eprints.227177.

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As global agricultural production methods and supply chains have become more digitised, farmers around the world are adopting digital AgTech such as drones, Internet of Things (IoT), remote sensors, blockchain, and satellite imagery to inform their on-farm decision-making. While early adopters and technology advocates globally are spruiking and realising the benefits of digital AgTech, many Australian farmers are reluctant or unable to participate fully in the digital economy. This is an important issue, as the Australian Government has said that digital farming is essential to meeting its target of agriculture being a $100billion industry by 2030. Most studies of AgTech adoption focus on individual-level barriers, yielding well-documented issues such as access to digital connectivity, availability of AgTech suppliers, non-use of ICTs, and cost-benefit for farmers. In contrast, our project took an ‘ecosystems’ approach to study cotton farmers in the Darling Downs region in Queensland, Australia who are installing water sensors, satellite imagery, and IoT plant probes to generate data to be aggregated on a dashboard to inform decision-making. We asked our farmers to map their local ecosystem, and then set up interviewing different stakeholders (such technology providers, agronomists, and suppliers) to understand how community-level orientations to digital agriculture enabled and constrained on-farm adoption. We identified human factors of digital AgTech adoption at the macro, regional and farm levels, with a pronounced ‘data divide’ between farm and community level stakeholders within the ecosystem. This ‘data divide’ is characterised by a capability gap between the provision of the devices and software that generate data by technology companies, and the ability of farmers to manage, implement, use, and maintain them effectively and independently. In the Condamine Plains project, farmers were willing and determined to learn new, advanced digital and data literacy skills. Other farmers in different circumstances may not see value in such an undertaking or have the necessary support to take full advantage of the technologies once they are implemented. Moreover, there did not seem to be a willingness or capacity in the rest of the ecosystem to fill this gap. The work raises questions about the type and level of new, digital expertise farmers need to attain in the transition to digital farming, and what interventions are necessary to address the significant barriers to adoption and effective use that remain in rural communities. By holistically considering how macro- and micro-level factors may be combined with community-level influences, this study provides a more complete and holistic account of the contextualised factors that drive or undermine digital AgTech adoption on farms in rural communities. This report provides insights and evidence to inform strategies for rural ecosystems to transition farms to meet the requirements and opportunities of Agriculture 4.0 in Australia and abroad.
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Bragdon, Sophia, Vuong Truong, and Jay Clausen. Environmentally informed buried object recognition. Engineer Research and Development Center (U.S.), November 2022. http://dx.doi.org/10.21079/11681/45902.

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The ability to detect and classify buried objects using thermal infrared imaging is affected by the environmental conditions at the time of imaging, which leads to an inconsistent probability of detection. For example, periods of dense overcast or recent precipitation events result in the suppression of the soil temperature difference between the buried object and soil, thus preventing detection. This work introduces an environmentally informed framework to reduce the false alarm rate in the classification of regions of interest (ROIs) in thermal IR images containing buried objects. Using a dataset that consists of thermal images containing buried objects paired with the corresponding environmental and meteorological conditions, we employ a machine learning approach to determine which environmental conditions are the most impactful on the visibility of the buried objects. We find the key environmental conditions include incoming shortwave solar radiation, soil volumetric water content, and average air temperature. For each image, ROIs are computed using a computer vision approach and these ROIs are coupled with the most important environmental conditions to form the input for the classification algorithm. The environmentally informed classification algorithm produces a decision on whether the ROI contains a buried object by simultaneously learning on the ROIs with a classification neural network and on the environmental data using a tabular neural network. On a given set of ROIs, we have shown that the environmentally informed classification approach improves the detection of buried objects within the ROIs.
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Midak, Liliia Ya, Ivan V. Kravets, Olga V. Kuzyshyn, Khrystyna V. Berladyniuk, Khrystyna V. Buzhdyhan, Liliia V. Baziuk, and Aleksandr D. Uchitel. Augmented reality in process of studying astronomic concepts in primary school. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4411.

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The objective of the research is development a mobile application (on the Android platform) designed for visualization of the Solar System with the AR technology and the alphabet study, applying the astronomic definitions, which can be used by the teacher and the students for an effective training for studying the subjects of the astronomic cycle in primary school. Augmented Reality cards with the images of the Solar System planets and other celestial bodies were developed, as well as the “Space alphabet” was created. In the developed alphabet every letter of the alphabet becomes a certain celestial body or a different astronomic definition. Augmented Reality gives the opportunity to visualize images of the Solar System as much as possible, in other words to convert 2D images into 3D, as well as “make them alive”. Applying this tool of ICT while studying new data gives the ability to develop and improve the pupils’ spatial thinking, “to see” the invisible and to understand the perceived information in a deeper way, which will be beneficial for its better memorizing and development of computer skills. Studying the alphabet in the offered mobile app will definitely help nail the achieved knowledge and get interesting information about celestial bodies that are invisible and superior for kids; to make a journey into the space, prepare a project on “The Space Mysteries” subject; to stimulate the development of curiosity, cognitive motivation and learning activity; the development of imagination, creative initiative, including speaking out.
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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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Zhylenko, Tetyana I. Auto Checker of Higher Mathematics - an element of mobile cloud education. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3895.

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We analyzed the main cloud services in the article. We also described the main contribution of mobile cloud technology to education. The article presents the author’s development from the field of mobile cloud education in higher mathematics. The design architecture of this application is described in detail: QR generator and scanner, authorization, sending tasks. Block diagrams and images are presented that clearly demonstrate the operation of the application. We showed an example of solving the integral from the section of integral calculus for higher mathematics and showed how to download the answer in the form of a QR code and find out whether it is correct or incorrect (this can be seen by the color on the smart phone screen). It is shown how this technology helps the teacher save time for checking assignments completed by students. This confirms its effectiveness. Such an application provides students and teachers with the ability to store and process data on a cloud computing platform.
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Midak, Lilia Ya, Ivan V. Kravets, Olga V. Kuzyshyn, Jurij D. Pahomov, Victor M. Lutsyshyn, and Aleksandr D. Uchitel. Augmented reality technology within studying natural subjects in primary school. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3746.

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The purpose of the research is creation of mobile app (supported by Android) for visualization of chemical structure of water and to display video- data of laboratory experiments that can be used by the teacher and pupils for an effective background for learning natural cycle subjects and performance of laboratory experiments in the elementary school using lapbook. As a result of work, aimed at visualizing the education material, a free mobile app LiCo.STEM was developed; it can be downloaded from the overall-available resource Google Play Market. Representation of the developed video materials on the mobile gadgets is conducted by “binding” them to individual images- “markers” for every laboratory experiment. Applying such technologies gives an opportunity to establish educational activity, based on interference of adults with children, oriented on interests and abilities of each kid, development of curiosity, cognitive motivation and educational energy; development of imagination, creative initiative, including the speech, ability to chose the materials, types of work, participants of the common activity, promotion of conditions for parents participate in the common study activity.
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Khomenko, Tetiana. TIME AND SPACE OF HISTORICAL PARALLELS OF EUGEN SVERSTIUK’S JOURNALISM. Ivan Franko National University of Lviv, March 2021. http://dx.doi.org/10.30970/vjo.2021.50.11095.

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The article is dedicated to the investigation of time-space measurements of journalistic works of Eugen Sverstiuk, a well-known Ukrainian journalist. In particular, the time-space continuum of his works is being discussed, which is characterized as comprehensive, continuous, filled with archetypical images which metaphorize the text, but at the same time structure it, and are beaded on the axis of time and documentarily located in the space. The logics of images initiated in the text is exaggerated by constant dwelling of the author in the time-space dimensions of the epoque, of which he was a contemporary, as well as precise knowledge of World and Ukrainian history and culture. Historical parallelism of journalism of E. Sverstiuk possesses double potential. On the one hand, the author provides arguments for confirmation of his own opinion, and on the other, he shows us historical collisions in the new aspect, which helps consider the past, better understand the present, and think of the future. Pages of his works is space for author’s considerations, which logics impresses by free transgression of the author in the time, and his ability to grasp the most essential, although sometimes precedent, sometimes sudden and forgotten, or even unknown historical facts in order to force them to resonate in the new historical realities, first of all to indicate the importance of national and the need for assigning to it more significance. Using retrospectives, E. Sverstiuk encourages us to return to the national sources and to seek in ourselves the reflections of nationality in order to return historical truth to our audience. This is what, according to E. Sverstiuk, was believed to be one of the most necessary conditions of existence to the independent state. Time-space continuum of E. Sverstiuk’s journalism is reproduction of comprehensive history as continuous process of the development of humanity, and of formation of comprehensive, total, and so to say epic reading and understanding of these processes via accentuation of reader’s attention on key events, phenomena, and facts.
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