Skip to main content
SpringerLink
Log in

Proposal and Evaluation of “Cariño Index”-A New Coordination Index Based on Weather Conditions

  • Conference paper
  • First Online:
Book cover Advances in Ergonomics in Design (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 777))

Included in the following conference series:

  • 2236 Accesses

Abstract

Deciding “what to wear today” is usually an enjoyable part of most people’s routines. However, there are often times, especially during a change of season, when our coordination fails owing to the weather being too hot or too cold. We are therefore proposing the “Cariño index,” a fashion coordination index based on the weather, along with the “Cariño equation” to calculate this index and evaluate its effectiveness. The paper introduces the concept and procedures that inform the Cariño index and equation. The data, methodology, processes, and results are described, while the effectiveness of the Cariño equation and future issues are discussed.

Note: Cariño means ‘affection’ in Spanish.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Japan Meteorological Agency. http://www.jma.go.jp/jma/indexe.html

  2. Clothing index: Japan Meteorological Agency. https://tenki.jp/indexes/dress/

  3. Past weather data: Japan Meteorological Agency. http://www.data.jma.go.jp/obd/stats/etrn/index.php

  4. Kogure, A.: Introduction to Statistical Data Analysis, pp. 109–138. R. Asakura Shoten, Tokyo (2013)

    Google Scholar 

  5. Kogure, A.: Statistical Foundation. Lecture Materials, Keio University (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Keio University, Endo 5322, Fujisawa, 252-0882, Japan

    Akari Fujiwara & Katsuhiko Ogawa

Authors
  1. Akari Fujiwara
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Katsuhiko Ogawa
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Akari Fujiwara .

Editor information

Editors and Affiliations

  1. Urban Planning and Design and Ergonomics Laboratory, Faculdade de Motricidade Humana, Universidade de Lisboa, Research Centre in Architecture, Lisbon, Portugal

    Francisco Rebelo

  2. School of Design, Hunan University, Changsha, China

    Marcelo M. Soares

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Fujiwara, A., Ogawa, K. (2019). Proposal and Evaluation of “Cariño Index”-A New Coordination Index Based on Weather Conditions. In: Rebelo, F., Soares, M. (eds) Advances in Ergonomics in Design. AHFE 2018. Advances in Intelligent Systems and Computing, vol 777. Springer, Cham. https://doi.org/10.1007/978-3-319-94706-8_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-94706-8_38

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94705-1

  • Online ISBN: 978-3-319-94706-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation