TY - JOUR
T1 - The Oscillating Potential Model of Visually Induced Vection
AU - Seno, Takeharu
AU - Sawai, Ken ichi
AU - Kanaya, Hidetoshi
AU - Wakebe, Toshihiro
AU - Ogawa, Masaki
AU - Fujii, Yoshitaka
AU - Palmisano, Stephen
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Program to Disseminate Tenure Tracking System to T.S., and by JSPS KAKENHI Grant Numbers JP26700016 and 17K12869 (Grants-in-Aid for Young Scientists A and Young Scientists B) to T.S. and Y.F., JP15K21484 and JP26381000 (Grants-in-Aid for Young Scientists B and Scientific Research C) to H.K., from Ministry of Education, Culture, Sports, Science and Technology of Japan. Part of this work was carried out under the Cooperative Research Project Program of the Research Institute of Electrical Communication, Tohoku University.
Publisher Copyright:
© 2017, © The Author(s) 2017.
PY - 2017/11/1
Y1 - 2017/11/1
N2 - Visually induced illusions of self-motion are often referred to as vection. This article developed and tested a model of responding to visually induced vection. We first constructed a mathematical model based on well-documented characteristics of vection and human behavioral responses to this illusion. We then conducted 10,000 virtual trial simulations using this Oscillating Potential Vection Model (OPVM). OPVM was used to generate simulated vection onset, duration, and magnitude responses for each of these trials. Finally, we compared the properties of OPVM’s simulated vection responses with real responses obtained in seven different laboratory-based vection experiments. The OPVM output was found to compare favorably with the empirically obtained vection data.
AB - Visually induced illusions of self-motion are often referred to as vection. This article developed and tested a model of responding to visually induced vection. We first constructed a mathematical model based on well-documented characteristics of vection and human behavioral responses to this illusion. We then conducted 10,000 virtual trial simulations using this Oscillating Potential Vection Model (OPVM). OPVM was used to generate simulated vection onset, duration, and magnitude responses for each of these trials. Finally, we compared the properties of OPVM’s simulated vection responses with real responses obtained in seven different laboratory-based vection experiments. The OPVM output was found to compare favorably with the empirically obtained vection data.
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U2 - 10.1177/2041669517742176
DO - 10.1177/2041669517742176
M3 - Article
AN - SCOPUS:85039709953
SN - 2041-6695
VL - 8
JO - i-Perception
JF - i-Perception
IS - 6
ER -