1. New approaches in the empirical study of dreamsKelly Bulkeley, 2023, original scientific article Abstract: Dream research is entering a new era of accelerating insights and discoveries, thanks to the rise of powerful digital analysis tools that are enabling important advances in the empirical study of dreams. This paper illustrates the use of these tools, drawing on the resources of the Sleep and Dream Database, a free online archive of information about sleep and dreaming. These tools include statistical analyses of survey responses, systematic word searches of large collections of dream reports, and a well-grounded set of baseline frequencies to help with comparative measurement. The goal of this paper is to provide readers with an initial orienta-tion to the new world of dream discovery that has opened up because of tools like these. Several basic empirical findings are presented regarding clearly observable patterns of perception, emotion, and social interaction in dreaming. The paper will close with reflections on the emerging interplay of dreaming and technology.
Keywords: dreams, word searching, content analysis, continuity hypothesis
Published in DiRROS: 13.05.2024; Views: 39; Downloads: 16
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2. Dreams, sleep quality, and collective trauma : an investigation of the impact of the COVID-19 pandemicCarmela Mento, Maria Catena Silvestri, Amelia Rizzo, Clara Lombardo, Hadipour Lakmesani Abed, Ferdinando Testa, Kelly Bulkeley, Toshio Kawai, 2023, original scientific article Abstract: The aim of the current study was to explore the impact of the CoVID-19 out-break on the dreams of a group of Italian participants. a total of 403 individuals were recruited online through a cross-sectional survey on Moodle. The qualitati-ve content of their dreams was analysed using the Dream Interview (TKYDQ), a tool created by Bulkeley. In addition, the Pittsburgh Sleep Quality Index (PSQI) was used to assess the quantitative aspects of dreams. from the results of our stu-dy, three macro-categories of content in the participants' dreams were identified: 1) dreams with phobic content; 2) dreams with a persecutory theme and 3) “old normal” dreams. Moreover, some sleep-related difficulties such as problems falling asleep and mild clinical sleep disorders were identified in the sample. The pro-longed quarantine and the lifestyle adopted during the pandemic have intensely influenced our dream activities, and it seems that CoVID-19 has already entered our collective unconscious in a symbolic way and through the processing of images and scenes related to the epidemic. The study, therefore, aims to explore how cata-strophic events affect mental health, specifically sleep quality and dream content.
Keywords: dreams, sleep, collective trauma, COVID-19, pandemic
Published in DiRROS: 13.05.2024; Views: 38; Downloads: 19
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3. Mapping dreams in a computational space : a phrase-level model for analyzing Fight/Flight and other typical situations in dream reportsMaja Gutman Mušič, Pavan Holur, Kelly Bulkeley, 2022, original scientific article Abstract: This article demonstrates that an automated system of linguistic analysis can be developed – the Oneirograph – to analyze large collections of dreams and computationally map their contents in terms of typical situations involving an interplay of characters, activities, and settings. Focusing the analysis first on the twin situations of fighting and fleeing, the results provide densely detailed empirical evidence of the underlying semantic structures of typical dreams. The results also indicate that the Oneirograph analytic system can be applied to other typical dream situations as well (e.g., flying, falling), each of which can be computationally mapped in terms of a distinctive constellation of characters, activities, and settings.
Keywords: dreams, patterns, natural language processing, Oneirograph, network analysis, semantic structure
Published in DiRROS: 22.03.2023; Views: 385; Downloads: 213
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