A Typology for Identifying Digitally-Induced Altered States of Consciousness Through Input Discrepancy
Authors: 
Anatolii Belousov, Terho Ojell-Järventausta, Mila Bujić, Joseph Macey, Juho HamariAuthors Info & Claims
Anatolii Belousov, Terho Ojell-Järventausta, Mila Bujić, Joseph Macey, Juho HamariAuthors Info & ClaimsPages 249 - 253
Abstract
The development of digital technologies leads to new types of relationships between the digital world and human consciousness, increasingly inducing or influencing specific types of experiences, such as dreams, transcendental experiences, or derealisation. The varied devices used to induce these experiences, from brain-stimulating magnets to biofeedback-based VR headsets, constitute a new class of digital technologies. They are already starting to be utilised in various spheres of life from medicine to art. However, the full potential of technologies is only beginning to be revealed and implementations are somewhat limited; accordingly, researchers in the field must use alternative strategies when investigating the potential evolution of this phenomenon. Making use of speculative or fictional narratives is one productive approach. Finding relevant technologies within narratives has some challenges and requires a more specific criterion for defining this phenomenon. This work in progress suggests the conceptualization of altered states of consciousness (ASC) through the lens of the relationship between external input and processor as a practical strategy for identifying digitally-induced altered states of consciousness (DIAL). It provides "discrepancy of input" as a flexible navigational criterion that will help include unknown technologies into the discussion about altered states of consciousness. The implementation of the criterion is demonstrated in specific examples of identification technologies from sci-fi worlds.
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Index Terms
- A Typology for Identifying Digitally-Induced Altered States of Consciousness Through Input Discrepancy
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October 2024
358 pages
ISBN:9798400718236
DOI:10.1145/3681716
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Published: 08 October 2024
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Mindtrek '24: Proceedings of the 27th International Academic Mindtrek Conference
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