Sensory-Motor Timing Performance

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Sensory-Motor Timing Performance

Impact of Motor Activity on Auditory Estimation

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About this dataset

This dataset examines how motor activity influences auditory timing perception. We conducted an experiment in which participants were challenged to make precise timing judgments when reacting to randomly presented auditory tones and movements. Our data set includes metrics of accuracy across three trial types (auditory, movement, and combined) along with error measurements to quantify performance. Moreover, it contains parameters such as movement distance, force and latency of stops relevant to the investigation of conscious sensorimotor timing performance in unisensory and multisensory estimation tasks. With this data set explore the fascinating topic of how our bodies influence our perception, allowing us to understand better the underlying mechanisms behind sensory-motor performance

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How to use the dataset

This dataset includes data from an experiment in which participants were asked to make timing judgments in response to randomly presented auditory tones and movements. The columns of the dataset allow one to examine how motor activity can impact perception of auditory timing by looking at metrics such as accuracy of judgment, movement distance and stop latency.

To use this dataset, first familiarize yourself with the column names and definitions so that you understand what each column is measuring. The columns included are: subject (unique identifier for each participant), trialtype (type of trial - auditory, movement or combined), duration (duration of stimulus), repduration (duration of response) , movdist (distance moved), force(force used on the move), stoplatency(latency from start to stop command) error(error in judgement) , abserror(absolute error).

Once you know what you are looking at, see what conclusions can be drawn by comparing different columns or combinations. For example, one could compare the error between auditory trials and movement trials to see if motor activity has an effect on accuracy. Similarly, one could look at the relationship between force used on a move and accuracy. Additionally, patterns across participants may provide insights as well—for instance noticing if certain people consistently train better than others under certain conditions or groups that perform abnormally high/low compared with other groups etc. Plots using appropriate visualizations may help facilitate understanding across these variables more easily than just looking at numbers alone

Research Ideas

• Using this dataset to measure the effects of different types of sensory and motor activity on participants' performance in auditory timing tasks.
• Examining the correlation between movement parameters (such as force, stop latency, and movement distance) and accuracy of timing judgments across trial types.
• Investigating how various trial types influence accuracy of timing judgments for specific subject groups based on demographic factors such as age, gender, or educational background

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: The_role_of_consciously_timed_movements_in_shaping_and_improving_auditory_timing_(All_Subject_Data).csv

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .