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Maximal and sub-maximal movement times for a reciprocal tapping task, and associated Fitts' law data.

The University of Queensland
Associate Professor Emma Beckman (Aggregated by) Associate Professor Emma Beckman (Aggregated by) Associate Professor Sean Tweedy (Aggregated by) Associate Professor Sean Tweedy (Aggregated by) Dr Mark Connick (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.14264/uql.2017.778&rft.title=Maximal and sub-maximal movement times for a reciprocal tapping task, and associated Fitts' law data.&rft.identifier=10.14264/uql.2017.778&rft.publisher=The University of Queensland&rft.description=Spreadsheet which provides the mean maximal and sub-maximal movement times (in seconds) to perform a reciprocal tapping task across seven indexes of difficulty (IDs). This task was performed by 10 non-disabled participants, and the spreadsheet provides details of their age and gender. For details about how the IDs were calculated please see the associated publication. In addition to the movement time data, the spreadsheet also gives the calculations of the two main Fitts' law parameters that were measured: R2 (linearity) and the difference between the fastest and slowest movement time for the four equivalent IDs (ID 3.6). The equivalent IDs had the same difficulty (ID = 3.6), but different combinations of target width and amplitude (details of these are provided within the publication).&rft.creator=Associate Professor Emma Beckman&rft.creator=Associate Professor Emma Beckman&rft.creator=Associate Professor Sean Tweedy&rft.creator=Associate Professor Sean Tweedy&rft.creator=Dr Mark Connick&rft.creator=Dr Mark Connick&rft.creator=Dr Rebecca Deuble&rft.creator=Dr Rebecca Deuble&rft.date=2017&rft_rights=2017, The University of Queensland&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=Fitts' law&rft_subject=Movement time&rft_subject=Reciprocal tapping&rft_subject=Coordination&rft_subject=Finger tapping&rft_subject=Maximal&rft_subject=Sub-maximal&rft_subject=Motor Control&rft_subject=MEDICAL AND HEALTH SCIENCES&rft_subject=HUMAN MOVEMENT AND SPORTS SCIENCE&rft_subject=Human Movement and Sports Science not elsewhere classified&rft.type=dataset&rft.language=English Access the data
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r.deuble@uq.edu.au

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Spreadsheet which provides the mean maximal and sub-maximal movement times (in seconds) to perform a reciprocal tapping task across seven indexes of difficulty (IDs). This task was performed by 10 non-disabled participants, and the spreadsheet provides details of their age and gender. For details about how the IDs were calculated please see the associated publication. In addition to the movement time data, the spreadsheet also gives the calculations of the two main Fitts' law parameters that were measured: R2 (linearity) and the difference between the fastest and slowest movement time for the four equivalent IDs (ID 3.6). The equivalent IDs had the same difficulty (ID = 3.6), but different combinations of target width and amplitude (details of these are provided within the publication).

Issued: 2017

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Subjects
Coordination | Finger tapping | Fitts' law | Human Movement and Sports Science | Human Movement and Sports Science Not Elsewhere Classified | Medical and Health Sciences | Maximal | Motor Control | Movement time | Reciprocal tapping | Sub-maximal | eng |

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Other Information
Using Fitts Law’ to detect intentional misrepresentation

local : UQ:362682

Deuble, Rebecca L., Connick, Mark J., Beckman, Emma M., Abernethy, Bruce and Tweedy, Sean M. (2015). Using Fitts Law’ to detect intentional misrepresentation. Journal of Motor Behavior, 48 (2), 164-171. doi: 10.1080/00222895.2015.1058744

Development and evaluation of a battery of reciprocal tapping tasks for detecting Intentional Misrepresentation of Abilities in Paralympic Classification

local : UQ:406175

Deuble, Rebecca (2016). Development and evaluation of a battery of reciprocal tapping tasks for detecting Intentional Misrepresentation of Abilities in Paralympic Classification. PhD Thesis, School of Human Movement and Nutrition Sciences, The University of Queensland. doi: 10.14264/uql.2016.800

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local : UQ:289097

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