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Speed Biases With Real-Life Video Clips

Overview of attention for article published in Frontiers in Integrative Neuroscience, March 2018
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Title
Speed Biases With Real-Life Video Clips
Published in
Frontiers in Integrative Neuroscience, March 2018
DOI 10.3389/fnint.2018.00011
Pubmed ID
Authors

Federica Rossi, Elisa Montanaro, Claudio de’Sperati

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Student > Master 4 18%
Student > Bachelor 1 5%
Other 1 5%
Researcher 1 5%
Other 1 5%
Unknown 9 41%
Readers by discipline Count As %
Psychology 8 36%
Neuroscience 2 9%
Computer Science 1 5%
Nursing and Health Professions 1 5%
Unknown 10 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 March 2018.
All research outputs
#20,469,520
of 23,028,364 outputs
Outputs from Frontiers in Integrative Neuroscience
#758
of 858 outputs
Outputs of similar age
#294,230
of 333,153 outputs
Outputs of similar age from Frontiers in Integrative Neuroscience
#14
of 15 outputs
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