Search results for '*Visual Displays' (try it on Scholar)

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  1. Harvey S. Smallman & Maia B. Cook (2011). Naïve Realism: Folk Fallacies in the Design and Use of Visual Displays. Topics in Cognitive Science 3 (3):579-608.score: 176.0
    Often implicit in visual display design and development is a gold standard of photorealism. By approximating direct perception, photorealism appeals to users and designers by being both attractive and apparently effortless. The vexing result from numerous performance evaluations, though, is that increasing realism often impairs performance. Smallman and St. John (2005) labeled misplaced faith in realistic information display Naïve Realism and theorized it resulted from a triplet of folk fallacies about perception. Here, we illustrate issues associated with the wider trend (...)
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  2. Vincent Di Lollo, D. G. Lowe & J. P. Scott (1974). Backward Masking and Interference with the Processing of Brief Visual Displays. Journal of Experimental Psychology 103 (5):934.score: 150.0
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  3. Charles W. Eriksen & John Rohrbaugh (1970). Visual Masking in Multielement Displays. Journal of Experimental Psychology 83 (1p1):147.score: 120.0
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  4. Gilbert K. Krulee & Alexander Weisz (1955). Studies in the Visual Discrimination of Multiple-Unit Displays. Journal of Experimental Psychology 50 (5):316.score: 120.0
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  5. F. Geringswald, F. Baumgartner & S. Pollmann (2011). Simulated Loss of Foveal Vision Eliminates Visual Search Advantage in Repeated Displays. Frontiers in Human Neuroscience 6:134-134.score: 108.0
    In the contextual cueing paradigm, incidental visual learning of repeated distractor configurations leads to faster search times in repeated compared to new displays. This contextual cueing is closely linked to the visual exploration of the search arrays as indicated by fewer fixations and more efficient scan paths in repeated search arrays. Here, we examined contextual cueing under impaired visual exploration induced by a simulated central scotoma that causes the participant to rely on extrafoveal vision. We let normal-sighted participants search (...)
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  6. Terry J. Spencer (1971). Encoding Time From Iconic Storage: A Single-Letter Visual Display. Journal of Experimental Psychology 91 (1):18.score: 102.0
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  7. Ronald A. Rensink, The Management of Visual Attention in Graphic Displays.score: 96.0
    This chapter presents an overview of several recent developments in vision science, and outlines some of their implications for the management of visual attention in graphic displays. These include ways of sending attention to the right item at the right time, techniques to improve attentional efficiency, and possibilities for offloading some of the processing typically done by attention onto nonattentional mechanisms. In addition it is argued that such techniques not only allow more effective use to be made of visual (...)
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  8. Glyn Elwyn, Adrian Edwards, Michel Wensing, Richard Hibbs, Clare Wilkinson & Richard Grol (2001). Shared Decision Making Observed in Clinical Practice: Visual Displays of Communication Sequence and Patterns. Journal of Evaluation in Clinical Practice 7 (2):211-221.score: 90.0
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  9. Göran Sonesson (1994). Prolegomena to the Semiotic Analysis of Prehistoric Visual Displays. Semiotica 100 (2-4):267-332.score: 90.0
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  10. Ronald A. Finke (1979). Nonrandom Curvature Adaptation to Random Visual Displays. Behavioral and Brain Sciences 2 (1):68.score: 90.0
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  11. Mary Hegarty, Harvey S. Smallman & Andrew T. Stull (2008). Decoupling of Intuitions and Performance in the Use of Complex Visual Displays. In. In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. 881--886.score: 90.0
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  12. Joseph S. Lappin (1967). Attention in the Identification of Stimuli in Complex Visual Displays. Journal of Experimental Psychology 75 (3):321.score: 90.0
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  13. D. Alexander Varakin, Daniel T. Levin & Roger Fidler (2004). Unseen and Unaware: Implications of Recent Research on Failures of Visual Awareness for Human-Computer Interface Design. Human-Computer Interaction 19 (4):389-422.score: 78.0
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  14. Benjamin W. White & Gayle E. Mueser (1960). Accuracy in Reconstructing the Arrangement of Elements Generating Kinetic Depth Displays. Journal of Experimental Psychology 60 (1):1.score: 78.0
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  15. Christopher D. Wickens & Jeffry Long (1995). Object Versus Space-Based Models of Visual Attention: Implications for the Design of Head-Up Displays. Journal of Experimental Psychology: Applied 1 (3):179.score: 72.0
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  16. M. P. Eckstein, J. P. Thomas & J. S. Whiting (1996). Predicting Visual Search Accuracy in Symbolic Displays and Medical Images. In Enrique Villanueva (ed.), Perception. Ridgeview. 5-5.score: 72.0
     
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  17. Carlo Umilta, Nancy Frost & Ray Hyman (1972). Interhemispheric Effects on Choice Reaction Times to One-, Two-, and Three-Letter Displays. Journal of Experimental Psychology 93 (1):198.score: 66.0
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  18. David LaBerge, L. Auclair & E. Sieroff (2000). Preparatory Attention: Experiment and Theory. Consciousness and Cognition 9 (3):396-434.score: 62.0
    This study investigated attention to a spatial location using a new spatial preparation task. Participants responded to a target dot presented in the center of a display and ignored a distractor dot presented to the right or left of the center. In an attempt to vary the level of preparatory attention directed to the target, the distractor dot was presented prior to the onset time of the target and the relative frequency of distractor dots to target dots within a block (...)
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  19. Terry J. Spencer & Richard Shuntich (1970). Evidence for an Interruption Theory of Backward Masking. Journal of Experimental Psychology 85 (2):198.score: 60.0
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  20. John L. Craft & J. Richard Simon (1970). Processing Symbolic Information From a Visual Display: Interference From an Irrelevant Directional Cue. Journal of Experimental Psychology 83 (3p1):415.score: 60.0
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  21. Lester E. Krueger (1970). Search Time in a Redundant Visual Display. Journal of Experimental Psychology 83 (3p1):391.score: 60.0
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  22. Charles W. Eriksen (1952). Location of Objects in a Visual Display as a Function of the Number of Dimensions on Which the Objects Differ. Journal of Experimental Psychology 44 (1):56.score: 60.0
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  23. Gilles Pourtois, Michael De Pretto, Claude-Alain Hauert & Patrik Vuilleumier (2006). Time Course of Brain Activity During Change Blindness and Change Awareness: Performance is Predicted by Neural Events Before Change Onset. Journal of Cognitive Neuroscience 18 (12):2108-2129.score: 60.0
     
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  24. Brian Fisher, Tera Marie Green & Richard Arias-Hernández (2011). Visual Analytics as a Translational Cognitive Science. Topics in Cognitive Science 3 (3):609-625.score: 54.0
    Visual analytics is a new interdisciplinary field of study that calls for a more structured scientific approach to understanding the effects of interaction with complex graphical displays on human cognitive processes. Its primary goal is to support the design and evaluation of graphical information systems that better support cognitive processes in areas as diverse as scientific research and emergency management. The methodologies that make up this new field are as yet ill defined. This paper proposes a pathway for development (...)
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  25. Dagmar Müller, Andreas Widmann & Erich Schröger (2013). Object-Related Regularities Are Processed Automatically: Evidence From the Visual Mismatch Negativity. Frontiers in Human Neuroscience 7.score: 54.0
    One of the most challenging tasks of our visual systems is to structure and integrate the enormous amount of incoming information into distinct coherent objects. It is an ongoing debate whether or not the formation of visual objects requires attention. Implicit behavioural measures suggest that object formation can occur for task-irrelevant and unattended visual stimuli. The present study investigated pre-attentive visual object formation by combining implicit behavioural measures and an electrophysiological indicator of pre-attentive visual irregularity detection, the visual mismatch negativity (...)
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  26. Zachary Joseph Jackson Roper & Shaun P. Vecera (2013). Response Terminated Displays Unload Selective Attention. Frontiers in Psychology 4:967.score: 54.0
    Perceptual load theory successfully replaced the early versus late selection debate by appealing to adaptive control over the efficiency of selective attention. Early selection is observed unless perceptual load (p-Load) is sufficiently low to grant attentional ‘spill-over‘ to task-irrelevant stimuli. Many studies exploring load theory have used limited display durations that perhaps impose artificial limits on encoding processes. We extended the exposure duration in a classic p-Load task to alleviate temporal encoding demands that may otherwise tax mnemonic consolidation processes. If (...)
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  27. Filipp Schmidt Thomas Schmidt, Anke Haberkamp, G. Marina Veltkamp, Andreas Weber, Anna Seydell-Greenwald (2011). Visual Processing in Rapid-Chase Systems: Image Processing, Attention, and Awareness. Frontiers in Psychology 2.score: 54.0
    Visual stimuli can be classified so rapidly that their analysis may be based on a single sweep of feedforward processing through the visuomotor system. Behavioral criteria for feedforward processing can be evaluated in response priming tasks where speeded pointing or keypress responses are performed towards target stimuli which are preceded by prime stimuli. We apply this method to several classes of complex stimuli. 1) When participants classify natural images into animals or non-animals, the time course of their pointing responses indicates (...)
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  28. Thomas Geyer, Florian Johannes Baumgartner, Hermann Josef Mueller & Stefan Pollmann (2012). Medial Temporal Lobe-Dependent Repetition Suppression and Enhancement Due to Implicit Vs. Explicit Processing of Individual Repeated Search Displays. Frontiers in Human Neuroscience 6.score: 54.0
    Using visual search, functional magnetic resonance imaging (fMRI) and patient studies have demonstrated that medial temporal lobe (MTL) structures differentiate repeated from novel displays – even when observers are unaware of display repetitions. This suggests a role for MTL in both explicit and, importantly, implicit learning of repeated sensory information (Greene et al., 2007). However, recent behavioral studies suggest, by examining visual search and recognition performance concurrently, that observers have explicit knowledge of at least some of the repeated (...) (Geyer et al., 2010). The aim of the present fMRI study was thus to contribute new evidence regarding the contribution of MTL structures to explicit versus implicit learning in visual search. It was found that MTL activation was increased for explicit and, respectively, decreased for implicit relative to baseline displays. These activation differences were most pronounced in left anterior parahippocampal cortex, especially when observers were highly trained on the repeated displays. The data are taken to suggest that explicit and implicit memory processes are linked within MTL structures, but expressed via functionally separable mechanisms (repetition enhancement vs. -suppression). They further show that repetition effects in visual search would have to be investigated at the display level. (shrink)
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  29. Ira T. Kaplan & W. N. Schoenfeld (1966). Oculomotor Patterns During the Solution of Visually Displayed Anagrams. Journal of Experimental Psychology 72 (3):447.score: 50.0
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  30. Patrick Maynard (2007). Portraits as Displays. Philosophical Studies 135 (1):111 - 121.score: 48.0
    Cynthia Freeland’s investigation of four kinds of ‘fidelity’ in portraiture is cut across by more general philosophical concerns. One is about what might be called the expression of persons--the persons or ‘inner selves’ of portrait subjects and of portrait artist: whether either is possible across each of the four kinds of fidelity, and whether these two kinds of expression are in tension. More fundamental is the problem of telling how self-expression is at all possible in any of these forms. Finally, (...)
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  31. R. Rensink (2000). Visual Search for Change: A Probe Into the Nature of Attentional Processing. Visual Cognition 7:345-376.score: 48.0
    A set of visual search experiments tested the proposal that focused attention is needed to detect change. Displays were arrays of rectangles, with the target being the item that continually changed its orientation or contrast polarity. Five aspects of performance were examined: linearity of response, processing time, capacity, selectivity, and memory trace. Detection of change was found to be a self-terminating process requiring a time that increased linearly with the number of items in the display. Capacity for orientation was (...)
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  32. Carmel Mevorach, Yehoshua Tsal & Glyn Humphreys (2013). Low Level Perceptual, Not Attentional, Processes Modulate Distractor Interference in High Perceptual Load Displays: Evidence From Neglect/Extinction. Frontiers in Psychology 4:966.score: 48.0
    According to perceptual load theory (Lavie, 2005) distractor interference is determined by the availability of attentional resources. If target processing does not exhaust resources (with low perceptual load) distractor processing will take place resulting in interference with a primary task; however when target processing uses-up attentional capacity (with high perceptual load) interference can be avoided. An alternative account (Tsal & Benoni, 2010) suggests that perceptual load effects can be based on distractor dilution by the mere presence of additional neutral items (...)
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  33. Zenon W. Pylyshynb, Jacob Feldmanb & Brian J. Scholla (2001). What is a Visual Object? Evidence From Target Merging in Multiple Object Tracking. Cognition 80 (1-2):159-177.score: 42.0
    The notion that visual attention can operate over visual objects in addition to spatial locations has recently received much empirical support, but there has been relatively little empirical consideration of what can count as an `object' in the ®rst place. We have investi- gated this question in the context of the multiple object tracking paradigm, in which subjects must track a number of independently and unpredictably moving identical items in a ®eld of identical distractors. What types of feature clusters can (...)
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  34. Ronald Rensink, Internal Vs. External Information in Visual Perception.score: 42.0
    One of the more compelling beliefs about vision is that it is based on representations that are coherent and complete, with everything in the visual field described in great detail. However, changes made during a visual disturbance are found to be difficult to see, arguing against the idea that our brains contain a detailed, picture-like representation of the scene. Instead, it is argued here that a more dynamic, "just-in-time" representation is involved, one with deep similarities to the way that users (...)
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  35. Elizabeth S. Spelke & Marc D. Hauser, Visual Representation in the Wild: How Rhesus Monkeys.score: 42.0
    & Visual object representation was studied in free-ranging rhesus monkeys. To facilitate comparison with humans, and to provide a new tool for neurophysiologists, we used a looking time procedure originally developed for studies of human infants. Monkeys’ looking times were measured to displays with one or two distinct objects, separated or together, stationary or moving. Results indicate that rhesus monkeys..
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  36. Lester E. Krueger (1970). Effect of Frequency of Display on Speed of Visual Search. Journal of Experimental Psychology 84 (3):495.score: 38.0
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  37. Chris Paffen & David Alais (2011). Attentional Modulation of Binocular Rivalry. Frontiers in Human Neuroscience 5.score: 36.0
    Ever since Wheatstone initiated the scientific study of binocular rivalry, it has been debated whether the phenomenon is under attentional control. In recent years, the issue of attentional modulation of binocular rivalry has seen a revival. Here we review the classical studies as well as recent advances in the study of attentional modulation of binocular rivalry. We show that (1) voluntary control over binocular rivalry is possible, yet limited, (2) both endogenous and exogenous attention influence perceptual dominance during rivalry, (3) (...)
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  38. R. J. Moran, P. Campo, F. Maestu, R. B. Reilly, R. J. Dolan & B. A. Strange (2009). Peak Frequency in the Theta and Alpha Bands Correlates with Human Working Memory Capacity. Frontiers in Human Neuroscience 4:200-200.score: 36.0
    Theta oscillations in the local field potential of neural ensembles are considered key mediators of human working memory. Theoretical accounts arising from animal hippocampal recordings propose that the phase of theta oscillations serves to instantiate sequential neuronal firing to form discrete representations of items held online. Human evidence of phase relationships in visual working memory has enhanced this theory, implicating long theta cycles in supporting greater memory capacity. Here we use human magnetoencephalographic recordings to examine a novel, alternative principle of (...)
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  39. Adam Thomas Biggs & Bradley Gibson (2013). Learning to Ignore Salient Color Distractors During Serial Search: Evidence for Experience-Dependent Attention Allocation Strategies. Frontiers in Psychology 4:326.score: 36.0
    Previous research has investigated whether visual salience (i.e., how much an item stands out) or perceptual load (i.e., display complexity) is the dominant factor in visual selective attention. The evidence has been mixed, with some findings supporting a dominant role for visual salience and some findings supporting a dominant role for perceptual load. However, the complex displays used to impose high perceptual load also introduce a third factor that has gone understudied until recently: the interplay between identity dilution and (...)
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  40. Anina N. Rich & Jason B. Mattingley (2010). Out of Sight, Out of Mind: The Attentional Blink Can Eliminate Synaesthetic Colours. Cognition 114 (3):320-328.score: 36.0
    Mechanisms of selective attention exert a powerful influence on visual perception. We examined whether attentional selection is necessary for generation of the vivid colours experienced by individuals with grapheme-colour synaesthesia. Twelve synaesthetes and matched controls viewed rapid serial displays of nonsense characters within which were embedded an oriented grating (T1) and a letter-prime (T2), forming a modified attentional blink (AB) task. At the end of the stream a coloured probe appeared that was either congruent or incongruent with the synaesthetic (...)
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  41. Bert F. Green & Lois K. Anderson (1956). Color Coding in a Visual Search Task. Journal of Experimental Psychology 51 (1):19.score: 36.0
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  42. Sidney L. Smith (1962). Color Coding and Visual Search. Journal of Experimental Psychology 64 (5):434.score: 32.0
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  43. Rasmus Grønfeldt Winther (forthcoming). Mapping Kinds in GIS and Cartography. In Catherine Kendig (ed.), Natural Kinds and Classification in Scientific Practice. Pickering & Chatto.score: 30.0
    Geographic Information Science (GIS) is a scientific inter-discipline that aims to discover patterns and trends in, and produce visual displays of, spatial data. Businesses use GIS to determine where to open new stores, and GIS helps conservation biologists identify field study locations with relatively little anthropogenic influence (Mitchell 1999; Chrisman 2002). GIS products include topographic and thematic maps of the Earth’s surface, climate maps, and spatially-referenced demographic graphs and charts. The annual global GIS market (approx. $10 billion ) is (...)
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  44. Ronald A. Rensink, Kevin J. O'Regan & James J. Clark (2000). On Failures to Detect Changes in Scenes Across Brief Interruptions. Visual Cognition 7 (1-3):127-145.score: 30.0
    When brief blank fields are placed between alternating displays of an original and a modified scene, a striking failure of perception is induced: the changes become extremely difficult to notice, even when they are large, presented repeatedly, and the observer expects them to occur (Rensink, O'Regan, & Clark, 1997). To determine the mechanisms behind this induced "change blindness", four experiments examine its dependence on initial preview and on the nature of the interruptions used. Results support the proposal that representations (...)
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  45. Michael Lynch (1991). Science in the Age of Mechanical Reproduction: Moral and Epistemic Relations Between Diagrams and Photographs. [REVIEW] Biology and Philosophy 6 (2):205-226.score: 30.0
    Sociologists, philosophers and historians of science are gradually recognizing the importance of visual representation. This is part of a more general movement away from a theory-centric view of science and towards an interest in practical aspects of observation and experimentation. Rather than treating science as a matter of demonstrating the logical connection between theoretical and empirical statements, an increasing number of investigations are examining how scientists compose and use diagrams, graphs, photographs, micrographs, maps, charts, and related visual displays. This (...)
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  46. J. Kevin O'Regan, H. Deubel, James J. Clark & R. Rensink (2000). Picture Changes During Blinks: Looking Without Seeing and Seeing Without Looking. Visual Cognition 7:191-211.score: 30.0
    Observers inspected normal, high quality color displays of everyday visual scenes while their eye movements were recorded. A large display change occurred each time an eye blink occurred. Display changes could either involve "Central Interest" or "Marginal Interest" locations, as determined from descriptions obtained from independent judges in a prior pilot experiment. Visual salience, as determined by luminance, color, and position of the Central and Marginal interest changes were equalized.
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  47. Hans-Jörg Rheinberger (1994). Representation in Scientific Practice. Studies in History and Philosophy of Science Part A 25 (4):647-654.score: 30.0
    The essays in this book provide an excellent introduction to the means by which scientists convey their ideas. While diverse in their subject matter, the essays are unified in asserting that scientists compose and use particular representations in contextually organized and contextually sensitive ways, and that these representations - particularly visual displays such as graphs, diagrams, photographs, and drawings - depend for their meaning on the complex activities in which they are situated.The topics include sociological orientations to representational practice, (...)
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  48. Julia Voss & Sahotra Sarkar (2003). Depictions as Surrogates for Places: From Wallace's Biogeography to Koch's Dioramas. Philosophy and Geography 6 (1):59 – 81.score: 30.0
    Habitat dioramas depicting ecological relations between organisms and their natural environments have become the preferred mode of museum display in most natural history museums in North America and Europe. Dioramas emerged in the late nineteenth century as an alternative mode of museum installation from taxonomically arranged cases. We suggest that this change was closely connected to the emergence of a biogeographical framework rooted in evolutionary theory and positing the existence of distinct biogeographical zones. We tie the history of dioramas to (...)
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  49. Peter C.-H. Cheng (2011). Probably Good Diagrams for Learning: Representational Epistemic Recodification of Probability Theory. Topics in Cognitive Science 3 (3):475-498.score: 30.0
    The representational epistemic approach to the design of visual displays and notation systems advocates encoding the fundamental conceptual structure of a knowledge domain directly in the structure of a representational system. It is claimed that representations so designed will benefit from greater semantic transparency, which enhances comprehension and ease of learning, and plastic generativity, which makes the meaningful manipulation of the representation easier and less error prone. Epistemic principles for encoding fundamental conceptual structures directly in representational schemes are described. (...)
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  50. Andreas Kotowicz, Ueli Rutishauser & Christof Koch (2010). Time Course of Target Recognition in Visual Search. Frontiers in Human Neuroscience 4.score: 30.0
    Visual search is a ubiquitous task of great importance: it allows us to quickly find the objects that we are looking for. During active search for an object (target), eye movements are made to different parts of the scene. Fixation locations are chosen based on a combination of information about the target and the visual input. At the end of a successful search, the eyes typically fixate on the target. But does this imply that target identification occurs while looking at (...)
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