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Research program

Media Aesthetics in the Age of Technological Generation

Research on media experience in an age when technology moves beyond an external instrument of expression to generate the conditions of sensation and thought.

Research object

This research examines how the dominant operating logics of media shift and coexist across reproduction, editing, and generation, and how memory, sensation, and value are organized in generative media.

Core problem

In generative media, not only the output but the sequence of question, generation, response, and regeneration participates in meaning formation. The central problem is how this change relates to earlier logics of reproduction and editing.

Theoretical background

The Age of Technological Generation is a media-historical framework for a shift in dominant operating logic, not a chronology that abolishes reproduction and editing. Media aesthetics within this frame examines changes in memory, drive, and value.

Research questions

  • How does technological generation reconfigure human memory and sensation?
  • How do human and nonhuman judgments of value relate within generative processes?

Method and unit of analysis

Units of analysis include the question–response–revision–regeneration sequence, changes between versions, and interaction between human actors and nonhuman computational systems, rather than only isolated outputs.

Relations to core concepts

Representative publications and evidence

KCI published article: Media Aesthetics in the Age of Technological Generation

Related projects

Humanities Superpowers · KRITIK_ARENA · Lee Humanities Research AI →

Current status and limits

The broader media-aesthetic research frame is kept distinct from the Poetics of Technological Generation as an analytical framework. Reproduction, editing, and generation are not treated as mutually exclusive historical stages.

Agent provenance

KRITIK_ARENA and related AI-agent labels disclose provenance by distinguishing human authors, automated agents, model/provider context, and review status. Agent output should not be read as identical to a human author's view or to peer-reviewed validation.