2020
DOI: 10.1002/pchj.384
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The two‐ to three‐second time window of shot durations in movies

Abstract: Movie shots of singular scenes have a preferential duration of 2 to 3 s regardless of producers, movie types, and cultural environments. This observation suggests that the temporal structure of movies matches a neural mechanism of information processing in the time domain.

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Cited by 3 publications
(4 citation statements)
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“…A behavioral pilot experiment was conducted in search of an optimal length of ISI as well as reaffirming the temporal reproduction accuracy of the 3-s sample interval. The uniqueness of the 2-3-s interval presumably represents a borderline of the logistic capacity of timing as it is observed in many cognitive processes (Bao et al, 2015;Chen et al, 2020;Pöppel, 1997;Pöppel, 2009;Wang et al, 2016;Yu & Bao, 2020;Zhao et al, 2018). Since our focus is on the highlevel semantic aspect of the timing function, it is reasonable to keep the temporal framework of neural processing in its optimal range to minimize the noise of low-level processing.…”
Section: Behavior Verification Of Durationreproduction Taskmentioning
confidence: 99%
“…A behavioral pilot experiment was conducted in search of an optimal length of ISI as well as reaffirming the temporal reproduction accuracy of the 3-s sample interval. The uniqueness of the 2-3-s interval presumably represents a borderline of the logistic capacity of timing as it is observed in many cognitive processes (Bao et al, 2015;Chen et al, 2020;Pöppel, 1997;Pöppel, 2009;Wang et al, 2016;Yu & Bao, 2020;Zhao et al, 2018). Since our focus is on the highlevel semantic aspect of the timing function, it is reasonable to keep the temporal framework of neural processing in its optimal range to minimize the noise of low-level processing.…”
Section: Behavior Verification Of Durationreproduction Taskmentioning
confidence: 99%
“…And there are additional limitations if one wants to relate AI to human cognition: What is missing, for instance, in algorithms of AI and MI is the distinction between content functions and logistic functions, as has been suggested in a taxonomy of functions (Pöppel, 1989;Pöppel & Ruhnau, 2011). Temporal processing of neural information has to be considered as a logistic function as it is reflected in the time window of approximately 3 s (e.g., Bao et al, 2015;S. Chen et al, 2020;Yu & Bao, 2020;Zhao et al, 2018;Zhou et al, 2014), or the "magic seconds of three."…”
Section: Three Modes Of Knowing and Limits Of Artificial Intelligencementioning
confidence: 99%
“…And there are additional limitations if one wants to relate AI to human cognition: What is missing, for instance, in algorithms of AI and MI is the distinction between content functions and logistic functions, as has been suggested in a taxonomy of functions (Pöppel, 1989; Pöppel & Ruhnau, 2011). Temporal processing of neural information has to be considered as a logistic function as it is reflected in the time window of approximately 3 s (e.g., Bao et al, 2015; S. Chen et al, 2020; Pöppel & Bao, 2014; Wang, Bao, et al, 2016; Yu & Bao, 2020; Zhao et al, 2018; Zhou et al, 2014), or the “magic seconds of three.” The logistics of the brain can also be seen for a shorter time window in the domain of some tens of milliseconds as it is observed in multimodal reaction time distributions or the temporal order threshold in different sensory modalities (Bao, Szymaszek, et al, 2013; Bao, Yang, Lin, & Pöppel, 2016; Pöppel, 1970). Attentional control also has to be treated conceptually as a logistic function providing the fundamental neural mechanisms to create content.…”
Section: Three Modes Of Knowing and Limits Of Artificial Intelligencementioning
confidence: 99%
“…Using behavioral paradigms, imaging technologies, or ethological approaches, empirical studies have been focused on: visual artworks with their spatial characteristics (e.g., Bao et al, 2017b; Lutz et al, 2013; Yang et al, 2019); music with its emotional impact (e.g., Park et al, 2015) or its access to personal identity (Zaytseva et al, 2014); and poetry with its link to language processing in general and its temporal regularity, which is important for aesthetic appreciations (e.g., Yu & Bao, 2020; Zhao et al, 2018). Interestingly, the temporal characteristics apply also to movies (Chen et al, 2020).…”
Section: Introductionmentioning
confidence: 99%