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Quality Space Model of Temporal Perception

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Multidisciplinary Aspects of Time and Time Perception

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6789))

Abstract

Quality Space Theory is a holistic model of qualitative states. On this view, individual mental qualities are defined by their locations in a space of relations, which reflects a similar space of relations among perceptible properties. This paper offers an extension of Quality Space Theory to temporal perception. Unconscious segmentation of events, the involvement of early sensory areas, and asymmetries of dominance in multi-modal perception of time are presented as evidence for the view.

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Author information

Authors and Affiliations

  1. Graduate Center, City University of New York, Philosophy and Cognitive Science, 365 5th Avenue, New York, NY, 10016-4309, USA

    Michał Klincewicz

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  1. Michał Klincewicz
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Editors and Affiliations

  1. Cognitive Systems Research Institute, Fthiotidos 16, 11523, Athens, Greece

    Argiro Vatakis

  2. Dept. of Psychology and IIASS, International Institute for Advanced Scientific Studies, Second University of Naples, Vietri sul Mare, SA, Italy

    Anna Esposito

  3. Institute for Language and Speech Processing, Athens, Greece

    Maria Giagkou

  4. UCD School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland

    Fred Cummins

  5. Department of Music Studies, Aristotle University of Thessaloniki, University Campus, 54124, Thessaloniki, Greece

    Georgios Papadelis

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Klincewicz, M. (2011). Quality Space Model of Temporal Perception. In: Vatakis, A., Esposito, A., Giagkou, M., Cummins, F., Papadelis, G. (eds) Multidisciplinary Aspects of Time and Time Perception. Lecture Notes in Computer Science(), vol 6789. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21478-3_18

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  • DOI: https://doi.org/10.1007/978-3-642-21478-3_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21477-6

  • Online ISBN: 978-3-642-21478-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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