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

Hideyuki Takagi, Shangfei Wang, Shota Nakano

    Research output: Contribution to journalArticlepeer-review

    11 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 2005

    All Science Journal Classification (ASJC) codes

    • Social Sciences(all)

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