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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Humans flexibly use visual priors to optimize their haptic exploratory behaviour

Authors: Jeschke, Michaela; Zöller, Aaron; Drewing, Knut;

Humans flexibly use visual priors to optimize their haptic exploratory behaviour

Abstract

datasets of the first, second and third experiment for each subject, there is one .raw file and one folder containing the .trj movement data files of each trial. the .trj files contain the variables (columns left to right): time in ms, x, y, z, force, velocity, position (-1 not on stim, 0 left, 1 right), inStimPos (-1 not, 0 outerstim, 1 innerstim) the .raw files contain the variables (columns left to right): block nr, trial nr, randomization nr, stimulus orientation, visual quality, startstim (0 left 1 right), ref stim, comp stim (always < ref), chosenStim, force. in exp2&3, ref stim and comp stim have the numbers 1xx for the "hard" block and 2xx for the "easy" block.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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