TY - JOUR

T1 - Modeling of decision-making process for moving straight using inverse Bayesian inference

AU - Horry, Youichi

AU - Yoshinari, Ai

AU - Nakamoto, Yurina

AU - Gunji, Yukio Pegio

N1 - Publisher Copyright:
© 2017 Elsevier B.V.

PY - 2018/1

Y1 - 2018/1

N2 - Humans sometimes make unreasonable decisions when viewed in objective terms. Even in the real world, we may lose sense of direction by turning around the corner several times or mistaking the estimation of travel distance. We experimented in virtual space how we lose sense of direction under what circumstances. In the experiment, subjects viewed a three-dimensional space displayed on a computer display in the first person's perspective and were instructed to go straight from the start to the goal position. Results showed that unreasonable selections that strayed from the centerline connecting the start and goal positions were frequently made. The change in the direction is more influential than the change in the distance, and the angle of turning also affects. Furthermore, the subject's decision – making process was modeled using Bayesian inference and inverse Bayesian inference. Comparing the two models, when the decision-making pattern suddenly changed, the model by inverse Bayesian inference could follow up faster than the Bayesian inference.

AB - Humans sometimes make unreasonable decisions when viewed in objective terms. Even in the real world, we may lose sense of direction by turning around the corner several times or mistaking the estimation of travel distance. We experimented in virtual space how we lose sense of direction under what circumstances. In the experiment, subjects viewed a three-dimensional space displayed on a computer display in the first person's perspective and were instructed to go straight from the start to the goal position. Results showed that unreasonable selections that strayed from the centerline connecting the start and goal positions were frequently made. The change in the direction is more influential than the change in the distance, and the angle of turning also affects. Furthermore, the subject's decision – making process was modeled using Bayesian inference and inverse Bayesian inference. Comparing the two models, when the decision-making pattern suddenly changed, the model by inverse Bayesian inference could follow up faster than the Bayesian inference.

KW - Bayesian inference

KW - Decision-making process

KW - Inverse bayesian inference

KW - Sense of direction

UR - http://www.scopus.com/inward/record.url?scp=85039765144&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85039765144&partnerID=8YFLogxK

U2 - 10.1016/j.biosystems.2017.12.006

DO - 10.1016/j.biosystems.2017.12.006

M3 - Article

C2 - 29248539

AN - SCOPUS:85039765144

SN - 0303-2647

VL - 163

SP - 70

EP - 81

JO - BioSystems

JF - BioSystems

ER -