<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Caramenti, Martina</dc:creator>
  <dc:creator>Lafortuna, Claudio L.</dc:creator>
  <dc:creator>Mugellini, Elena</dc:creator>
  <dc:creator>Abou Khaled, Omar</dc:creator>
  <dc:creator>Bresciani, Jean-Pierre</dc:creator>
  <dc:creator>Dubois, Amandine</dc:creator>
  <dc:date>2018-04-11</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">We investigated how visual and kinaesthetic/efferent information is integrated for  speed perception in running. Twelve moderately trained to trained subjects ran on a  treadmill at three different speeds (8, 10, 12 km/h) in front of a moving virtual scene.  They were asked to match the visual speed of the scene to their running speed–i.e.,  treadmill’s speed. For each trial, participants indicated whether the scene was moving  slower or faster than they were running. Visual speed was adjusted according to their  response using a staircase until the Point of Subjective Equality (PSE) was reached,  i.e., until visual and running speed were perceived as equivalent. For all three running  speeds, participants systematically underestimated the visual speed relative to their  actual running speed. Indeed, the speed of the visual scene had to exceed the actual  running speed in order to be perceived as equivalent to the treadmill speed. The  underestimation of visual speed was speed-dependent, and percentage of  underestimation relative to running speed ranged from 15% at 8km/h to 31% at  12km/h. We suggest that this fact should be taken into consideration to improve the  design of attractive treadmill-mediated virtual environments enhancing engagement  into physical activity for healthier lifestyles and disease prevention and care.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://folia.unifr.ch/global/documents/306663</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/306663/files/bre_mof.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0195781</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>PLOS ONE. - 2018, vol. 13, no. 4, p. e0195781</dc:source>
  <dc:subject>info:eu-repo/classification/udc/57</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">Matching optical flow to motor speed in virtual reality while running on a treadmill</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
