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Speed Biases With Real-Life Video Clips

Academic Article
Publication Date:
2018
Short description:
Speed Biases With Real-Life Video Clips / Rossi, F., Montanaro, E., De’Sperati, C.. - In: FRONTIERS IN INTEGRATIVE NEUROSCIENCE. - ISSN 1662-5145. - 12:(2018), p. 11. [10.3389/fnint.2018.00011]
abstract:
We live almost literally immersed in an artificial visual world, especially motion pictures. In this exploratory study, we asked whether the best speed for reproducing a video is its original, shooting speed. By using adjustment and double staircase methods, we examined speed biases in viewing real-life video clips in three experiments, and assessed their robustness by manipulating visual and auditory factors. With the tested stimuli (short clips of human motion, mixed human-physical motion, physical motion and ego-motion), speed underestimation was the rule rather than the exception, although it depended largely on clip content, ranging on average from 2% (ego-motion) to 32% (physical motion). Manipulating display size or adding arbitrary soundtracks did not modify these speed biases. Estimated speed was not correlated with estimated duration of these same video clips. These results indicate that the sense of speed for real-life video clips can be systematically biased, independently of the impression of elapsed time. Measuring subjective visual tempo may integrate traditional methods that assess time perception: speed biases may be exploited to develop a simple, objective test of reality flow, to be used for example in clinical and developmental contexts. From the perspective of video media, measuring speed biases may help to optimize video reproduction speed and validate “natural” video compression techniques based on sub-threshold temporal squeezing.
Iris type:
1.1 Articolo in rivista
Keywords:
Intuitive physics; Motion perception; Reality monitoring; Speed biases; Video clips; Sensory Systems; Cognitive Neuroscience; Cellular and Molecular Neuroscience
List of contributors:
Rossi, Federica; Montanaro, Elisa; De’Sperati, Claudio
Authors of the University:
DE'SPERATI CLAUDIO
Handle:
https://iris.unisr.it/handle/20.500.11768/86063
Full Text:
https://iris.unisr.it//retrieve/handle/20.500.11768/86063/55104/Rossi%20et%20al%202018%20(FIN).pdf
Published in:
FRONTIERS IN INTEGRATIVE NEUROSCIENCE
Journal
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URL

https://www.frontiersin.org/journals/integrative-neuroscience
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