Dream engineering
Simulating worlds through sensory stimulation
Datos Bibliográficos
| ID | 20409474 |
|---|---|
| Autores | Michelle Carr (0000-0003-0399-0196), Sue Faulds, Yvonne Howard, Adam Haar, Pei Zhang (0000-0003-4523-4823), Judith Amores, Pedro Lopes (0000-0003-0772-4370), David E Millard (0000-0002-7512-2710), Guillermo Bernal (0000-0001-8855-1314), Gary Wills (0000-0001-5771-4088), Mary Gobbi (0000-0003-0941-4608), Tomás Vega, Oscar Rosello, Abhinandan Jain (0000-0002-7816-8714), Pattie Maes (0000-0002-7722-6038) |
| Año | 2020 |
| Volumen | 83 |
| Páginas | 102955 |
| Fecha de publicación | 2020-08-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Consciousness and Cognition (JOURNAL) |
| Identificadores de la revista | ISSN: 1053-8100 • E-ISSN: 1090-2376 |
| Editorial | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.concog.2020.102955 |
| OpenAlex | W32652511 |
| Idioma | EN |
| Citas recibidas | 7 |
| Referencias citadas | 167 |
We explore the application of a wide range of sensory stimulation technologies to the area of sleep and dream engineering. We begin by emphasizing the causal role of the body in dream generation, and describe a circuitry between the sleeping body and the dreaming mind. We suggest that nearly any sensory stimuli has potential for modulating experience in sleep. Considering other areas that might afford tools for engineering sensory content in simulated worlds, we turn to Virtual Reality (VR). We outline a collection of relevant VR technologies, including devices engineered to stimulate haptic, temperature, vestibular, olfactory, and auditory sensations. We believe these technologies, which have been developed for high mobility and low cost, can be translated to the field of dream engineering. We close by discussing possible future directions in this field and the ethics of a world in which targeted dream direction and sleep manipulation are feasible
Health care · Medical education · Mobile device · Multimedia · Political science · World Wide Web · Computer Science · Medicine · Mobile Learning in Education
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| Obras citantes distintas | 7 |
|---|---|
| Citas por año | 1,17 |
| Intervalo de citas | 2020 - 2025 (6) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 7 |