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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationInformation Systems and Neuroscience - NeuroIS Retreat 2023
EditorsFred D. Davis, René Riedl, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Gernot R. Müller-Putz
PublisherSpringer Science and Business Media Deutschland GmbH
Pages263-270
Number of pages8
ISBN (Print)9783031583957
DOIs
StatePublished - 2024
Event15th Annual NeuroIS Retreat, NeuroIS 2023 - Vienna, Austria
Duration: 30 May 20231 Jun 2023

Publication series

NameLecture Notes in Information Systems and Organisation
Volume68
ISSN (Print)2195-4968
ISSN (Electronic)2195-4976

Conference

Conference15th Annual NeuroIS Retreat, NeuroIS 2023
Country/TerritoryAustria
CityVienna
Period30/05/231/06/23

Keywords

  • Attachment theory
  • Data analysis
  • EEG
  • Lempel–Ziv complexity
  • NeuroIS

Fingerprint

Dive into the research topics of 'The Effect of Feedback on Electrophysiological Signal Complexity as a Function of Attachment Style'. Together they form a unique fingerprint.

Cite this