Literature DB >> 30973269

Looking at One's Self Through Facebook Increases Mental Stress: A Computational Psychometric Analysis by Using Eye-Tracking and Psychophysiology.

Pietro Cipresso1,2, Maurizio Mauri3, Michelle Semonella1, Cosimo Tuena1, Anna Balgera3, Marco Villamira3, Giuseppe Riva1,2.   

Abstract

The aim of this study was to investigate if Mental Stress was superior, inferior, or equal navigating on Facebook own profile or others profiles. An experimental manipulation would invalidate the results since it would force the participants to navigate in only one condition each time. To overcome this problem, we used an eye-tracker to get clear time markers that identified the areas where the participants focused during all of the Facebook navigation. While the gazes were being recorded for 30 participants, we simultaneously recorded their psychophysiological signals, which were extracted and paired with each specific focus area. Consequently, we obtained the psychophysiological correlates of Facebook navigation for both the conditions related to "own" and "others." The areas related to own were about the own profile (such as exploring and focusing on one's own information, posting one's own news, and similar activities). The areas related to others were about Facebook friends (e.g., exploring others' profiles and reading comments). The results showed that, based on cardiovascular measures (strong measurements of psychological stress), looking at one's own profile increased mental stress level. Bayesian analyses showed that these differences between the two conditions were not due to the cognitive load or the different attentional and emotional content in the two conditions. The study posed new questions about the expression of one's self to others, and indicated potential detrimental effects of chronic stress deriving from being more oriented to the self than the others.

Entities:  

Keywords:  Facebook; computational psychometrics; eye-tracking; mental stress; psychological stress; psychometrics; psychophysiology; social identity; social network sites

Mesh:

Year:  2019        PMID: 30973269     DOI: 10.1089/cyber.2018.0602

Source DB:  PubMed          Journal:  Cyberpsychol Behav Soc Netw        ISSN: 2152-2715


  1 in total

1.  Association Between Social Media Use and Self-reported Symptoms of Depression in US Adults.

Authors:  Roy H Perlis; Jon Green; Matthew Simonson; Katherine Ognyanova; Mauricio Santillana; Jennifer Lin; Alexi Quintana; Hanyu Chwe; James Druckman; David Lazer; Matthew A Baum; John Della Volpe
Journal:  JAMA Netw Open       Date:  2021-11-01
  1 in total

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