PERSONALITY AND INFORMATION PROCESSING: A COMPUTER-ASSISTED TECHNIQUE OF PREDICTING AGENT’S ACTIVITY AND EMOTIONAL STABILITY

Authors

  • Eleonora Nosenko Chairperson of the Department of Educational and Developmental Psychology, Oles Honchar Dnipropetrovsk National University, Dnipropetrovsk, Ukraine
  • Iryna Arshava Chairperson of the Department of General and Medical Psychology, Oles Honchar Dnipropetrovsk National University, Dnipropetrovsk, Ukraine
  • Kostyantyn Kutovyy Senior Lecturer of General and Medical Psychology Department, Chief of the Computer-assisted Learning Laboratory, Oles Honchar Dnipropetrovsk National University, Dnipropetrovsk, Ukraine

DOI:

https://doi.org/10.19044/esj.2013.v9n10p%25p

Abstract

A computer-based information-processing technique, simulating the process of information exchange between the “virtual pilots†and “flight controllersâ€, patented by the authors as a “Method of predicting the individual’s stability to failure stress†(patent of Ukraine â„–91842, 2010) has been empirically proved to be predictive of the individual’s agentic activity as well. The conclusion was made on a sample of 60 participants, split into 2 clusters (K-means algorithm), by comparing their personality characteristics and the modes of information processing. One of the cluster’s participants demonstrated the abilities to simultaneously attend to the two different perceptual activities (identifying “call-names†and processing the visually perceived information) and equally high levels of efficacy of performance of both activities. The members of another cluster concentrated on one of the activities, partially ignoring the instruction to identify call-names, which is claimed to be a sign of susceptibility to stress. The clusters with different modes of information processing appeared to differ statistically significantly by t-test: on their psychological well-being measures, the strategies and attributions preferred and coping strategies. Between-cluster differences are significant: on the key strategies and attribution scales: success-expectation scale (t=8,87, p ≤ .001); the master-orientation scale (t=8,17, p ≤ .001), and task-irrelevant behavior scale (t= - 8,99, p ≤ .001); as well as on all the scales of psychological well-being and coping behavior. The results clearly suggest the conclusion about the validity of the technique for predicting both: the emotional stability and the agentic activity of the individual.

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Published

2014-01-14

How to Cite

Nosenko, E., Arshava, I., & Kutovyy, K. (2014). PERSONALITY AND INFORMATION PROCESSING: A COMPUTER-ASSISTED TECHNIQUE OF PREDICTING AGENT’S ACTIVITY AND EMOTIONAL STABILITY. European Scientific Journal, ESJ, 9(10). https://doi.org/10.19044/esj.2013.v9n10p%p