Personal Dream Informatics: A Self-Information Systems Model of Dream Engagement
Michael Jeffrey Daniel Hoefer, Bryce E. Schumacher, Stephen Voida
Abstract
We present the research area of personal dream informatics: studying the self-information systems that support dream engagement and communication between the dreaming self and the wakeful self. Through a survey study of 281 individuals primarily recruited from an online community dedicated to dreaming, we develop a dream-information systems view of dreaming and dream tracking as a type of self-information system. While dream-information systems are characterized by diverse tracking processes, motivations, and outcomes, they are universally constrained by the ephemeral dreamset-the short period of time between waking up and rapid memory loss of dream experiences. By developing a system dynamics model of dreaming we highlight feedback loops that serve as high leverage points for technology designers, and suggest a variety of design considerations for crafting technology that best supports dream recall, dream tracking, and dreamwork for nightmare relief and personal development.
• Human-centered computing → Empirical studies in HCI; HCI theory, concepts and models; • Applied computing → Health informatics.
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