IDEAS home Printed from https://ideas.repec.org/h/elg/eechap/21607_15.html
   My bibliography  Save this book chapter

Measuring moral values from facial expressions

In: Happimetrics

Author

Listed:
  • .

Abstract

Facial expressions indicate personality characteristics and ethical and moral values. Facial emotion recognition combined with machine learning automates this process. Because emotional responses predict tribal affiliation, the emotion shown on one's face in response to an external event predicts personality characteristics and moral values.

Suggested Citation

  • ., 2022. "Measuring moral values from facial expressions," Chapters, in: Happimetrics, chapter 15, pages 166-168, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:21607_15
    as

    Download full text from publisher

    File URL: https://www.elgaronline.com/view/9781803924021.00022.xml
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:elg:eechap:21607_15. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Darrel McCalla (email available below). General contact details of provider: http://www.e-elgar.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.