IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-031-58396-4_23.html
   My bibliography  Save this book chapter

The Effect of Feedback on Electrophysiological Signal Complexity as a Function of Attachment Style

In: Information Systems and Neuroscience

Author

Listed:
  • Dor Mizrahi

    (Ariel University)

  • Ilan Laufer

    (Ariel University)

  • Inon Zuckerman

    (Ariel University)

Abstract

Attachment theory has been applied to various domains, including developmental, clinical, and social psychology. It has been instrumental in understanding the mechanisms underlying interpersonal relationships, mental health, and well-being. The attachment profiles can be divided into several styles, but the most basic set comprises two basic attachment styles, secure and insecure. Today, the current practice of measuring attachment typically involves using self-report questionnaires or interviews. However, the self-report data may be influenced by social desirability or other factors that may conceal or distort the respondents true feelings or opinions. Therefore, in this study, we will try to rely on an objective assessment of the attachment style by analyzing scalp EEG brain recordings. Specifically, we sought to investigate whether signal complexity, derived by using the method of Lempel Ziv Complexity (LZC), could differentiate between insecure and secure attachment styles based on a success or failure feedback given in the context of a flanker task. A significant interaction between attachment style and feedback type was found due to the change in complexity level between success and failure as a function of attachment type. Secure players were associated with an increase in complexity level between success and failure, whereas for insecure players no change was observed between these conditions. These results may be explained by different mechanisms of emotional regulation that are employed by secure and insecure participants. Possibilities for future research were also discussed.

Suggested Citation

  • Dor Mizrahi & Ilan Laufer & Inon Zuckerman, 2024. "The Effect of Feedback on Electrophysiological Signal Complexity as a Function of Attachment Style," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph & Gernot (ed.), Information Systems and Neuroscience, pages 263-270, Springer.
  • Handle: RePEc:spr:lnichp:978-3-031-58396-4_23
    DOI: 10.1007/978-3-031-58396-4_23
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnichp:978-3-031-58396-4_23. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.