63 resultados para Embodied cognition


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Intact cognitive abilities are fundamental for driving. Driving-relevant cognition may be affected in older drivers due to aging or cognitive impairment. The aim of this study was to investigate the effects of cognitive impairment on driving-relevant cognition in older persons. Performance in selective and divided attention, eye-hand-coordination, executive functions and the ability to regulate distance and speed of 18 older persons with CI-Group (cognitive impairment group) was compared to performance of older control group (18 age and gender-matched cognitively normal subjects) and young control group (18 gender-matched young subjects). The CI-Group showed poorer performance than the other two control groups in all cognitive tasks (significance level (p) < 0.001, effect size (partial η2) = 0.63). Differences between cognitively impaired and cognitively normal subjects were still significant after controlling for age (effect sizes from 0.14 to 0.28). Dual tasking affected performance of cognitively impaired subjects more than performance of the other two groups (p = 0.016, partial η2 = 0.14). Results show that cognitive impairment has age-independent detrimental effects on selective and divided attention, eye-hand-coordination, executive functions and the ability to regulate distance and speed. Largest effect sizes are found for reaction times in attention tasks.

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Previous findings are inconsistent with regard to whether men are judged as being more or less competent leaders than women. However, masculine-relative to feminine-looking persons seem to be judged consistently as more competent leaders. Can this different impact of biological sex and physical appearance be due to the disparate availability of meta-cognitive knowledge about both sources? The results of Study 1 indicated that individuals possess meta-cognitive knowledge about a possible biasing influence of persons’ biological sex, but not for their physical appearance. In Study 2, participants judged the leadership competence of a male versus female stimulus person with either masculine or feminine physical appearance. In addition, the available cognitive capacity was manipulated. When high capacity was available, participants corrected for the influence of stimulus persons’ sex, but they fell prey to this influence under cognitive load. However, the effect of physical appearance was not moderated by cognitive capacity.

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The rationalist approach to strategizing emphasizes analytical and convergent thinking. Without denying the importance of this approach, this book argues that strategists must learn to complement it with a more creative approach to strategizing that emphasizes synthetic and divergent ways of thinking. The theoretical underpinnings of this approach include embodied realism, interpretivism, practice theory, theory of play, design thinking, as well as discursive approaches such as metaphorical analysis, narrative analysis, dialogical analysis and hermeneutics. The book includes in-depth discussions of these theories and shows how they can be put into practice by presenting detailed analyses of embodied metaphors built by groups of agents with step-by-step explanations of how this process can be implemented and facilitated. The link between theory and practice is further supported by the inclusion of several vignettes that describe how this approach has been successfully employed in a number of organizations, including BASF and UNICEF

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Vestibular cognition has recently gained attention. Despite numerous experimental and clinical demonstrations, it is not yet clear what vestibular cognition really is. For future research in vestibular cognition, adopting a computational approach will make it easier to explore the underlying mech- anisms. Indeed, most modeling approaches in vestibular science include a top-down or a priori component. We review recent Bayesian optimal observer models, and discuss in detail the conceptual value of prior assumptions, likelihood and posterior estimates for research in vestibular cognition. We then consider forward models in vestibular processing, which are required in order to distinguish between sensory input that is induced by active self-motion, and sensory input that is due to passive self-motion. We suggest that forward models are used not only in the service of estimating sensory states but they can also be drawn upon in an offline mode (e.g., spatial perspective transformations), in which interaction with sensory input is not desired. A computational approach to vestibular cogni- tion will help to discover connections across studies, and it will provide a more coherent framework for investigating vestibular cognition.

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