Abstract
Unconscious mental processes have recently started gaining attention in a number of scientific
disciplines. One of the theoretical frameworks for describing unconscious processes
was introduced by Jung as a part of his model of the psyche. This framework uses the
concept of archetypes that represent prototypical experiences associated with objects,
people, and situations. Although the validity of Jungian model remains an open question,
this framework is convenient from the practical point of view. Moreover, archetypes found
numerous applications in the areas of psychology and marketing. Therefore, observation
of both conscious and unconscious traces related to archetypal experiences seems to
be an interesting research endeavor. In a study with 36 subjects, we examined the effects
of experiencing conglomerations of unconscious emotions associated with various archetypes
on the participants’ introspective reports and patterns of physiological activations.
Our hypothesis for this experiment was that physiological data may predict archetypes
more precisely than introspective reports due to the implicit nature of archetypal experiences.
Introspective reports were collected using the Self-Assessment Manikin (SAM)
technique. Physiological measures included cardiovascular, electrodermal, respiratory
responses and skin temperature of the subjects. The subjects were stimulated to feel
four archetypal experiences and four explicit emotions by means of film clips. The data
related to the explicit emotions served as a reference in analysis of archetypal experiences.
Our findings indicated that while prediction models trained on the collected physiological
data could recognize the archetypal experiences with accuracy of 55 percent,
similar models built based on the SAM data demonstrated performance of only 33 percent.
Statistical tests enabled us to confirm that physiological observations are better
suited for observation of implicit psychological constructs like archetypes than
introspective reports.
Original language | English |
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Article number | e0124519 |
Pages (from-to) | e0124519-1/31 |
Number of pages | 31 |
Journal | PLoS ONE |
Volume | 10 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2015 |