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

Youichi Horry*, Ai Yoshinari, Yurina Nakamoto, Yukio Pegio Gunji

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)70-81
Number of pages12
Publication statusPublished - 2018 Jan


  • Bayesian inference
  • Decision-making process
  • Inverse bayesian inference
  • Sense of direction

ASJC Scopus subject areas

  • Statistics and Probability
  • Modelling and Simulation
  • General Biochemistry,Genetics and Molecular Biology
  • Applied Mathematics


Dive into the research topics of 'Modeling of decision-making process for moving straight using inverse Bayesian inference'. Together they form a unique fingerprint.

Cite this