title: Proposal for a framework for optimizing artificial environments based on physiological feedback.
abstract: We propose and then evaluate a new framework for finding the physical parameters of an artificial environment which give rise to given target physiological characteristics. We assume that a human is a system that takes as inputs the physical parameters of an artificial environment and outputs physiological parameters in response. We define our task as the inverse problem; we must find the best inputs from given target outputs. Our proposed framework solves the inverse problem using evolutionary computation techniques to optimize an artificial environment. We evaluate this framework using a simulation with a vibration environment and verify that it works.
authors.affiliation: Faculty of Design, Kyushu University, Fukuoka, Japan. takagi@design.kyushu-u.ac.jp
authors.forename: Hideyuki
authors.initials: H
authors.lastname: Takagi
authors.forename: Shangfei
authors.initials: S
authors.lastname: Wang
authors.forename: Shota
authors.initials: S
authors.lastname: Nakano
mesh_terms: D004780:Environment, Controlled; D005246:Feedback; D006801:Humans; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*