Proposal for a framework for optimizing artificial environments based on physiological feedback

Hideyuki Takagi, Shangfei Wang, Shota Nakano

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)77-80
Number of pages4
JournalJournal of physiological anthropology and applied human science
Volume24
Issue number1
DOIs
Publication statusPublished - Jan 1 2005

All Science Journal Classification (ASJC) codes

  • Social Sciences(all)

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