Naturalização da Fenomenologia e perspectivas metodológicas na pesquisa experimental em Psicologia

Castro, Thiago Gomes de; Gomes, William Barbosa

doi:10.1590/0103-166x2015000300005

Cited by 1 publication

(3 citation statements)

References 23 publications

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“…The k-means algorithm allowed to partition the 852 sessions, 12 traces of dimensions each, into distinct non-overlapping subgroups, the metastable clusters of experience. In the past, the k-means algorithm has been frequently used to identify clusters, or states in resting data fMRI, as well as EEG data [6][7][8] . By applying the algorithm to continuous subjective experience data, we capture reconstructed experience states from the perspective of the experiencer (first person).…”

Section: Discussionmentioning

confidence: 99%

“…This requires the development of rigorous methods that enable the exploration and analysis of lived first-person experience 2,3 . Phenomenological methods that have been developed for cognitive research, can be broadly categorised into the traditional phenomenological interview techniques (for a discussion of these methods, see 4 ) and methods of front-loading phenomenology into the experimental design [4][5][6][7] , such as the experience sampling method [8][9][10] .…”

Section: Introductionmentioning

confidence: 99%

“…Figure6 The Markov Chains show the transition likelihoods across meditation styles with some similarities between groups.…”

mentioning

confidence: 99%

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Drawing the experience dynamics of meditation

Jachs

Garcia

Canales‐Johnson

et al. 2022

Preprint

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Subjective experiences are hard to capture quantitatively without losing depth and nuance. Subjective report analyses are time-consuming, with their interpretation contested. We describe Temporal Experience Tracing, a method that captures relevant aspects of the unified conscious experience over a continuous period of time. This continuous multidimensional description of experiences allows us to computationally reconstruct common experience states. Applied to data from 852 meditations - from novice (n=20) and an experienced (n=12) meditators practising Breathing, Loving-Kindness (LK) and Open-Monitoring (OM) meditation - we reconstructed four recurring experience states with an average duration of 6:46 min (SD = 5:50 min) and their transition dynamics. Three of the experience states assimilated the three meditation styles practiced, and a fourth experience state represented a common low-motivational, off-task state for both groups. We found that participants in both groups spent more time in the task-related experience state during LK meditation than during Breathing and OM, and were less likely to transition into an off-task experience state during LK meditation than during Breathing meditation. We demonstrate that drawing the dynamics of experience enables the quantitative analysis of subjective experiences, transforming the time dimension of the stream of consciousness from narrative to measurable.

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Section: Discussionmentioning

confidence: 99%