Data
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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=https://researchoutputs.unisa.edu.au/11541.1/a3b3ebd8-6778-4ba4-ab76-357ecd59e62f&rft.title=Exercise experiences during virtual reality cycling&rft.identifier=http://research.unisa.edu.au/dataset/777415&rft.publisher=University of South Australia&rft.description=The data includes exercise experience data collected from adults that undertook virtual reality cycling. Data on affective valence (feel good/bad responses) and ratings of perceived exertion (Borg's RPE) were collected while participants underwent 3 virtual reality cycling conditions. Two virtual reality conditions involved deceptive vision about the cycling environment (altering the visual environment while holding pedal rate and resistance constant; illusory uphill and illusory downhill). A flat road condition was used as the control (vision of a flat surface matched unchanging pedal rate and resistance). Data also includes heart rate, power output while cycling as well as participant's ability to detect their own heartrate (interoceptive accuracy).&rft.creator=AsPr Ashleigh Smith&rft.creator=AsPr Ross Smith&rft.creator=Mister Brendan Mouatt&rft.creator=Mr Jeremy McDade&rft.creator=Prof Gaynor Parfitt&rft.date=2023&rft_subject=Exercise&rft_subject=Sport, exercise and recreation&rft_subject=CULTURE AND SOCIETY&rft_subject=320900&rft_subject=420700&rft_subject=460700&rft_subject=Affective valence&rft_subject=Deceptive visual cues&rft_subject=Exercise&rft_subject=Interoception&rft_subject=Perceived exertion&rft_subject=Predictive processing&rft_subject=Virtual reality&rft.type=dataset&rft.language=English Access the data

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Contact Information

Tasha.Stanton@unisa.edu.au

Brief description

The data includes exercise experience data collected from adults that undertook virtual reality cycling. Data on affective valence (feel good/bad responses) and ratings of perceived exertion (Borg's RPE) were collected while participants underwent 3 virtual reality cycling conditions. Two virtual reality conditions involved deceptive vision about the cycling environment (altering the visual environment while holding pedal rate and resistance constant; illusory uphill and illusory downhill). A flat road condition was used as the control (vision of a flat surface matched unchanging pedal rate and resistance). Data also includes heart rate, power output while cycling as well as participant's ability to detect their own heartrate (interoceptive accuracy).

Data time period: 2019 to 02 02 2023

This dataset is part of a larger collection

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