Results for ' behavioral sciences movement'

988 found
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  1.  9
    Law and behavioral sciences: why we need less purity rather than more.Peter Mascini - 2016 - The Hague, The Netherlands: Eleven International Publishing.
    In his inaugural lecture, Peter Mascini takes issue with the goal of scientific purity in the behavioral study of law conceived as the deliberate choice to postulate a limited number of universally applicable behavioral principles. The guiding principle of behavioral sociology is that law behaves in correspondence to social space, while the guiding principle of law and economics is that individuals behave rationally. Behavioral economics has challenged the principle of the rational actor and, consequently, has also (...)
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  2. The Behavioral Movement in Political Science: A Personal Document.Heinz Eulau - forthcoming - Social Research: An International Quarterly.
  3.  33
    Engaged, Embedded, Enjoined: Science and Technology Studies in the National Science Foundation.Edward J. Hackett & Diana R. Rhoten - 2011 - Science and Engineering Ethics 17 (4):823-838.
    Engaged scholarship is an intellectual movement sweeping across higher education, not only in the social and behavioral sciences but also in fields of natural science and engineering. It is predicated on the idea that major advances in knowledge will transpire when scholars, while pursuing their research interests, also consider addressing the core problems confronting society. For a workable engaged agenda in science and technology studies, one that informs scholarship as well as shapes practice and policy, the traditional (...)
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  4.  90
    Movement Choremes: Bridging Cognitive Understanding and Formal Characterizations of Movement Patterns1.Alexander Klippel - 2011 - Topics in Cognitive Science 3 (4):722-740.
    This article discusses an approach to characterizing movement patterns (paths/trajectories) of individual agents that allows for relating aspects of cognitive conceptualization of movement patterns with formal spatial characterizations. To this end, we adopt a perspective of characterizing movement patterns on the basis of perceptual and conceptual invariants that we term movement choremes (MCs). MCs are formally grounded by behaviorally validating qualitative spatio-temporal calculi. Relating perceptual and cognitive aspects of space and formal theories of spatial information has (...)
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  5.  29
    Beyond Dyadic Coordination: Multimodal Behavioral Irregularity in Triads Predicts Facets of Collaborative Problem Solving.Mary Jean Amon, Hana Vrzakova & Sidney K. D'Mello - 2019 - Cognitive Science 43 (10):e12787.
    We hypothesize that effective collaboration is facilitated when individuals and environmental components form a synergy where they work together and regulate one another to produce stable patterns of behavior, or regularity, as well as adaptively reorganize to form new behaviors, or irregularity. We tested this hypothesis in a study with 32 triads who collaboratively solved a challenging visual computer programming task for 20 min following an introductory warm‐up phase. Multidimensional recurrence quantification analysis was used to examine fine‐grained (i.e., every 10 (...)
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  6. Are movement parameters recognizably coded in the activity of single neurons?Eberhard E. Fetz - 1992 - Behavioral and Brain Sciences 15 (4):679-690.
     
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  7.  23
    Movement dynamics and the environment to be perceived.Gary E. Riccio, Richard E. A. van Emmerik & Brian T. Peters - 2001 - Behavioral and Brain Sciences 24 (2):237-238.
    In perception science, an alternative to focusing on individual sensory systems is to describe the environment to be perceived. We focus on the emergent dynamics of human-environment interactions as an important category of the environment to be perceived. We argue that information about such dynamics is available in subtle patterns of movement variability that, of necessity, stimulate multiple sensory systems.
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  8. Movement control hypotheses: A lesson from history.Gyan C. Agarwal - 1992 - Behavioral and Brain Sciences 15 (4):705-706.
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  9.  25
    The practicality of using the Eshkol-Wachman movement notation in behavioral pharmacology and kinesics.Ilan Golani - 1994 - Behavioral and Brain Sciences 17 (4):754-757.
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  10. Reconsidering Virtue: Differences of Perspective in Virtue Ethics and the Positive Social Sciences.David S. Bright, Bradley A. Winn & Jason Kanov - 2014 - Journal of Business Ethics 119 (4):445-460.
    This paper describes differences in two perspectives on the idea of virtue as a theoretical foundation for positive organizational ethics (POE). The virtue ethics perspective is grounded in the philosophical tradition, has classical roots, and focuses attention on virtue as a property of character. The positive social science perspective is a recent movement (e.g., positive psychology and positive organizational scholarship) that has implications for POE. The positive social science movement operationalizes virtue through an empirical lens that emphasizes virtuous (...)
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  11.  34
    Modeling movement variability in space and time.Dagmar Sternad & Karl M. Newell - 1997 - Behavioral and Brain Sciences 20 (2):322-322.
    Plamondon & Alimi propose a universal account of trajectory formation and speed/accuracy trade-off in rapid movements but fail, because: (1) the kinematic model ignores the more fundamental dynamics of movement generation, and (2) it does not capture the essential space-time constraints of movement accuracy. Hence, the modeling lacks a biologically and behaviorally principled foundation and is driven by pragmatic function fitting.
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  12.  15
    “Science in action”: The politics of hands-on display at the New York Museum of Science and Industry.Jaume Sastre-Juan - 2021 - History of Science 59 (2):155-178.
    This article analyzes the changing politics of hands-on display at the New York Museum of Science and Industry by following its urban deambulation within Midtown Manhattan, which went hand in hand with sharp shifts in promoters, narrative, and exhibition techniques. The museum was inaugurated in 1927 as the Museum of the Peaceful Arts on the 7th and 8th floors of the Scientific American Building. It changed its name in 1930 to the New York Museum of Science and Industry while on (...)
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  13.  17
    Movements of the Mind. A Theory of Attention, Intention and Action by Wayne Wu (review).Diego D'Angelo - 2024 - Review of Metaphysics 77 (4):734-735.
    In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Movements of the Mind. A Theory of Attention, Intention and Action by Wayne WuDiego D’AngeloWU, Wayne. Movements of the Mind. A Theory of Attention, Intention and Action. Oxford: Oxford University Press, 2023. 257 pp. Cloth, $80.00Wayne Wu presented a theory of attention as selection-for-action in 2014. According to this theory, given a behavioral space in which the agent has multiple inputs and outputs to choose from, attention (...)
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  14.  34
    Pragmatism and a Behavioral Theory of Meaning.Harold N. Lee - 1976 - Journal of the History of Philosophy 14 (4):435-447.
    In lieu of an abstract, here is a brief excerpt of the content:Pragmatism and a Behavioral Theory of Meaning HAROLD N. LEE IT HAS BEEN ALMOST ONE HUNDRED YEARS since the publication of Peirce's article "How to Make Our Ideas Clear" in the Popular Science Monthly. There Peirce stated what came to be called The Pragmatic Maxim. 1 Since then pragmatism has been developed and expounded by many proponents. Some of the developments have differed markedly from others, and some (...)
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  15.  24
    Eye Movements, Pupil Dilation, and Conflict Detection in Reasoning: Exploring the Evidence for Intuitive Logic.Zoe A. Purcell, Andrew J. Roberts, Simon J. Handley & Stephanie Howarth - 2023 - Cognitive Science 47 (6):e13293.
    A controversial claim in recent dual process accounts of reasoning is that intuitive processes not only lead to bias but are also sensitive to the logical status of an argument. The intuitive logic hypothesis draws upon evidence that reasoners take longer and are less confident on belief–logic conflict problems, irrespective of whether they give the correct logical response. In this paper, we examine conflict detection under conditions in which participants are asked to either judge the logical validity or believability of (...)
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  16.  66
    The professionalism movement: Can we pause?Delese Wear & Mark G. Kuczewski - 2004 - American Journal of Bioethics 4 (2):1 – 10.
    The topic of developing professionalism dominated the content of many academic medicine publications and conference agendas during the past decade. Calls to address the development of professionalism among medical students and residents have come from professional societies, accrediting agencies, and a host of educators in the biomedical sciences. The language of the professionalism movement is now a given among those in academic medicine. We raise serious concerns about the professionalism discourse and how the specialized language of academic medicine (...)
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  17.  23
    Movement dynamics in speed/accuracy trade-off.P. Morasso & V. Sanguineti - 1997 - Behavioral and Brain Sciences 20 (2):319-319.
    Fitts' law and the [Delta][Lambda] model are theories of motor control because they are limited to the kinematic aspects of movement and do not capture its essential dynamic nature. The internal source of that determines the speed/accuracy trade-off can be associated with the partial compensation of movement-generated forces.
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  18.  64
    Eye movements in reading: Models and data.Keith Rayner, Alexander Pollatsek & Erik D. Reichle - 2003 - Behavioral and Brain Sciences 26 (4):507-518.
    The issues the commentators have raised and which we address, include: the debate over how attention is allocated during reading; our distinction between early and late stages of lexical processing; our assumptions about saccadic programming; the determinants of skipping and refixations; and the role that higher-level linguistic processing may play in influencing eye movements during reading. In addition, we provide a discussion of model development and principles for evaluating and comparing models. Although we acknowledge that E-Z Reader is incomplete, we (...)
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  19.  29
    Reacting to Consecrating Science: What Might Amateurs Do?Sarah E. Fredericks - 2019 - Zygon 54 (2):354-381.
    In Consecrating Science: Wonder, Knowledge, and the Natural World, Lisa H. Sideris makes a compelling case that a new cosmology movement advocates for a new, universal, creation story grounded in the sciences. She fears the new story reinforces elite power structures and anthropocentrism and thus environmental degradation. Alternatively, she promotes genuine wonder which occurs in experiences of the natural world. As Sideris focuses on the likely logical outcome of the assumptions and arguments of the new cosmologies, she does (...)
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  20. The evolution of the symbolic sciences.Nathalie Gontier - 2024 - In Nathalie Gontier, Andy Lock & Chris Sinha (eds.), The Oxford Handbook of Human Symbolic Evolution. OUP. pp. 27-70.
    Aspects of human symbolic evolution are studied by scholars active in a variety of fields and disciplines in the life and the behavioral sciences as well as the scientific-philosophical, sociological, anthropological, and linguistic sciences. These fields and disciplines all take on an evolutionary approach to the study of human symbolism, but scholars disagree in their theoretical and methodological attitudes. Theoretically, symbolism is defined differentially as knowledge, behavior, cognition, culture, language, or social group living. Methodologically, the diverse symbolic (...)
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  21.  35
    Predicting relationships between speed and accuracy of targetting movements is important.James G. Phillips, Mark A. Bellgrove & John L. Bradshaw - 1997 - Behavioral and Brain Sciences 20 (2):319-320.
    While explaining a large proportion of any variance, accounts of the speed and accuracy of targetting movements use techniques (e.g., log transforms) that typically reduce variability before ''explaining'' the data. Therefore the predictive power of such accounts are important. We consider whether Plamondon's model can account for kinematics of targetting movements of clinical populations.
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  22. The e-z reader model of eye-movement control in reading: Comparisons to other models.Erik D. Reichle, Keith Rayner & Alexander Pollatsek - 2003 - Behavioral and Brain Sciences 26 (4):445-476.
    The E-Z Reader model (Reichle et al. 1998; 1999) provides a theoretical framework for understanding how word identification, visual processing, attention, and oculomotor control jointly determine when and where the eyes move during reading. In this article, we first review what is known about eye movements during reading. Then we provide an updated version of the model (E-Z Reader 7) and describe how it accounts for basic findings about eye movement control in reading. We then review several alternative models (...)
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  23.  11
    Movement vigor: Frameworks, exceptions, and nomenclature.Rory John Bufacchi & Gian Domenico Iannetti - 2021 - Behavioral and Brain Sciences 44:e126.
    Shadmehr and Ahmed cogently argue that vigor of appetitive movements is positively correlated with their value, and that value can therefore be inferred by measuring vigor. Here, we highlight three points to consider when interpreting this account: (1) The correlation between vigor and value is not obligatory, (2) the vigor effect also arises in frameworks other than optimal foraging, and (3) the term vigor can be misinterpreted, thereby affecting rigor.
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  24.  73
    What muscle variable(s) does the nervous system control in limb movements?R. B. Stein - 1982 - Behavioral and Brain Sciences 5 (4):535-541.
    To controlforceaccurately under a wide range of behavioral conditions, the central nervous system would either require a detailed, continuously updated representation of the state of each muscle (and the load against which each is acting) or else force feedback with sufficient gain to cope with variations in the properties of the muscles and loads. The evidence for force feedback with adequate gain or for an appropriate central representation is not sufficient to conclude that force is the major controlled variable (...)
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  25.  25
    Learning From Peers’ Eye Movements in the Absence of Expert Guidance: A Proof of Concept Using Laboratory Stock Trading, Eye Tracking, and Machine Learning.Michał Król & Magdalena Król - 2019 - Cognitive Science 43 (2):e12716.
    Existing research shows that people can improve their decision skills by learning what experts paid attention to when faced with the same problem. However, in domains like financial education, effective instruction requires frequent, personalized feedback given at the point of decision, which makes it time‐consuming for experts to provide and thus, prohibitively costly. We address this by demonstrating an automated feedback mechanism that allows amateur decision‐makers to learn what information to attend to from one another, rather than from an expert. (...)
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  26.  20
    Movement planning and movement execution: What is in between?N. Dounskaia & G. E. Stelmach - 2001 - Behavioral and Brain Sciences 24 (1):41-42.
    Although the model proposed by Thelen and co-authors provides a detailed explanation for the processes underlying reaching, many aspects of it are highly speculative. One of the reasons for this is our lack of knowledge about transformation of a hand movement plan into joint movements. The leading joint hypothesis (LJH) allows us to partially fill in this gap. The LJH offers a possible explanation for the formation of movement and how it may be represented in memory. Our explanation (...)
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  27.  5
    Team Cognition Research Is Transforming Cognitive Science.Michael J. Spivey - forthcoming - Topics in Cognitive Science.
    About 30 years ago, the Dynamical Hypothesis instigated a variety of insights and transformations in cognitive science. One of them was the simple observation that, quite unlike trial-based tasks in a laboratory, natural ecologically valid behaviors almost never have context-free starting points. Instead, they produce lengthy time series data that can be recorded with dense-sampling measures, such as heartrate, eye movements, EEG, etc. That emphasis on studying the temporal dynamics of extended behaviors may have been the trigger that led to (...)
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  28.  64
    Strategies for the control of voluntary movements with one mechanical degree of freedom.Gerald L. Gottlieb, Daniel M. Corcos & Gyan C. Agarwal - 1989 - Behavioral and Brain Sciences 12 (2):189-210.
    A theory is presented to explain how accurate, single-joint movements are controlled. The theory applies to movements across different distances, with different inertial loads, toward targets of different widths over a wide range of experimentally manipulated velocities. The theory is based on three propositions. (1) Movements are planned according to “strategies” of which there are at least two: a speed-insensitive (SI) and a speed-sensitive (SS) one. (2) These strategies can be equated with sets of rules for performing diverse movement (...)
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  29.  30
    How are cognition and movement control related to each other?Maurizio Gentilucci & Sergio Chieffi - 2004 - Behavioral and Brain Sciences 27 (1):36-37.
    Our commentary focuses, first, on Glover's proposal that only motor planning is sensitive to cognitive aspects of the target object, whereas the on-line control is completely immune to them. We present behavioural data showing that movement phases traditionally (and by Glover) thought to be under on-line control, are also modulated by object cognitive aspects. Next, we present data showing that some aspects of cognition can be coded by means of movement planning. We propose a reformulation of Glover's theory (...)
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  30.  19
    Multisensory control of ingestive movements and the myth of food addiction in obesity.David A. Booth - 2017 - Behavioral and Brain Sciences 40.
    Some individuals have a neurogenetic vulnerability to developing strong facilitation of ingestive movements by learned configurations of biosocial stimuli. Condemning food as addictive is mere polemic, ignoring the contextualised sensory control of the mastication of each mouthful. To beat obesity, the least fattening of widely recognised eating patterns need to be measured and supported.
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  31.  42
    Do movement planning and control represent independent modules?Valérie Gaveau & Michel Desmurget - 2004 - Behavioral and Brain Sciences 27 (1):35-36.
    We address three issues that might be important in evaluating the validity of the planning–control model: (1) It could be artificial to distinguish between control and planning when control involves the re-planning of a new corrective submovement that overlaps with the initial response; (2) experiments involving illusions are not totally compelling; (3) selectively implicating the superior parietal lobe in movement control and the basal ganglia in movement planning, appears questionable.
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  32.  16
    Movement control: Signal or strategy?T. D. M. Roberts - 1982 - Behavioral and Brain Sciences 5 (4):563-564.
  33.  26
    Voluntary movement and perception in intrapersonal and extrapersonal space.P. E. Roland - 1979 - Behavioral and Brain Sciences 2 (1):79-80.
  34.  12
    “Abnormal” movements: What are they reflections of?C. C. A. M. Gielen - 1996 - Behavioral and Brain Sciences 19 (1):74-75.
  35.  29
    Chaotic dimensionality of hand movements define processing capacity by relational complexity.Danko Nikolic - 1998 - Behavioral and Brain Sciences 21 (6):842-843.
    Measurements of the dimensionality of chaotic attractors obtained on behavioral data represent the task complexity and also could be hypothesized to reflect the number of synchronized neural groups involved in the generation of the data. The changes in dimensionality for different experimental conditions suggest that limited processing capacity, task complexity, demand, and synchrony in neural firing might be closely related.
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  36.  20
    Movements and acts: distinguishing their neurophysiology.Karl H. Pribram - 1978 - Behavioral and Brain Sciences 1 (1):158-159.
  37.  31
    Developmental “movement disorders” and problem solving.Esther Thelen - 1996 - Behavioral and Brain Sciences 19 (1):88-89.
  38.  57
    Eye-movement control in reading: Models and predictions.Eyal M. Reingold - 2003 - Behavioral and Brain Sciences 26 (4):500-501.
    It is argued here that a critical prediction of the E-Z Reader model is that experimental manipulations that disrupt early encoding of visual and orthographic features of the fixated word without affecting subsequent lexical processing should influence the processing difficulty of the fixated word without producing any processing effect on the next word. This prediction is explained and illustrated.
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  39.  71
    A theory of visual stability across saccadic eye movements.Bruce Bridgeman, A. H. C. Van der Heijden & Boris M. Velichkovsky - 1994 - Behavioral and Brain Sciences 17 (2):247-258.
    We identify two aspects of the problem of maintaining perceptual stability despite an observer's eye movements. The first, visual direction constancy, is the (egocentric) stability of apparent positions of objects in the visual world relative to the perceiver. The second, visual position constancy, is the (exocentric) stability of positions of objects relative to each other. We analyze the constancy of visual direction despite saccadic eye movements.Three information sources have been proposed to enable the visual system to achieve stability: the structure (...)
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  40.  22
    How was movement controlled before Newton?Lloyd D. Partridge - 1982 - Behavioral and Brain Sciences 5 (4):561-561.
  41.  31
    Movement strategies and the necessity for task differentiation.Daniel M. Corcos, Simon R. Gutman, Gyan C. Agarwal & Gerald L. Gottlieb - 1991 - Behavioral and Brain Sciences 14 (2):359-364.
  42.  16
    Movement strategies as points on equal-outcome curves.Herbert Heuer - 1989 - Behavioral and Brain Sciences 12 (2):220-221.
  43.  39
    Movement imitation as faithful copying in the absence of insight.Ludwig Huber - 1998 - Behavioral and Brain Sciences 21 (5):694-694.
    Byrne & Russon use novelty as the primary requirement for providing evidence of true imitation in animals. There are three reasons to object to this. First, experiential learning cannot always be completely excluded as an alternative explanation of the observed behavior. Second, the imitator's manipulations performed during ontogeny cannot be known in full detail. Finally, there is at present only a weak understanding of how novel forms emerge. Data from our own recent experiments will be used to emphasize the need (...)
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  44.  29
    Eye movements are an important part of the story, but not the whole story.Kyle R. Cave - 2017 - Behavioral and Brain Sciences 40.
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  45.  21
    Scanning movements during haptic search: similarity with fixations during visual search.Achille Pasqualotto - 2017 - Behavioral and Brain Sciences 40.
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  46.  24
    Movement control views: From diversity to unity.R. B. Stein - 1982 - Behavioral and Brain Sciences 5 (4):568-577.
  47.  77
    Impulse Processing: A Dynamical Systems Model of Incremental Eye Movements in the Visual World Paradigm.Anuenue Kukona & Whitney Tabor - 2011 - Cognitive Science 35 (6):1009-1051.
    The Visual World Paradigm (VWP) presents listeners with a challenging problem: They must integrate two disparate signals, the spoken language and the visual context, in support of action (e.g., complex movements of the eyes across a scene). We present Impulse Processing, a dynamical systems approach to incremental eye movements in the visual world that suggests a framework for integrating language, vision, and action generally. Our approach assumes that impulses driven by the language and the visual context impinge minutely on a (...)
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  48.  24
    Coordinate transformation and limb movements: There may be more complexity than meets the eye.James R. Bloedel - 1992 - Behavioral and Brain Sciences 15 (2):326-326.
  49.  30
    Unique features of human movement control predicted by the leading joint hypothesis.Natalia Dounskaia - 2012 - Behavioral and Brain Sciences 35 (4):223-224.
    Vaesen suggests that motor control is not among the primary origins of the uniqueness of human tool use. However, recent findings show that cognitive processes involved in control of human limb movements may be much more sophisticated than it was believed previously. The sophistication of movement control may substantially contribute to the uniqueness of humans in tool use.
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  50.  14
    Individual Differences in Categorization Gradience As Predicted by Online Processing of Phonetic Cues During Spoken Word Recognition: Evidence From Eye Movements.Jinghua Ou, Alan C. L. Yu & Ming Xiang - 2021 - Cognitive Science 45 (3):e12948.
    Recent studies have documented substantial variability among typical listeners in how gradiently they categorize speech sounds, and this variability in categorization gradience may link to how listeners weight different cues in the incoming signal. The present study tested the relationship between categorization gradience and cue weighting across two sets of English contrasts, each varying orthogonally in two acoustic dimensions. Participants performed a four‐alternative forced‐choice identification task in a visual world paradigm while their eye movements were monitored. We found that (a) (...)
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