Understanding Autobiographical Memory in the Digital Age: The AMEDIA-Model

Abstract

Recent technological developments have led to an increased density of recorded life episodes. To understand how creating and sharing such immense amounts of data shapes the way individuals remember their past, we propose a model for autobiographical memory in the digital age (AMEDIA-Model) that systematizes the existing literature and sketches avenues for future research. The model views autobiographical remembering in the digital age as the result of the iterative process of combining information stored in the mind and information stored in the environment using high-tech applications. Moreover, the way autobiographical memories are (re-)constructed crucially depends on the way the information has been encoded and curated: Autobiographical remembering in the digital age is not a uniform process but is fundamentally shaped by the technology and the data that is being used. The AMEDIA-Model offers a framework for understanding technology-mediated human cognition in the twenty-first century.