Synthetic Memory
MA Dissertation · Computational Arts · 2026
About
Synthetic Memory investigates the unstable moment before authenticity is consciously judged: when a synthetic image, voice, or narrative may already feel familiar, credible, or personally meaningful.
Rather than asking only whether synthetic media can be identified as real or fake, the research focuses on plausibility—the way visual, vocal, narrative, and affective cues can align strongly enough for a fabricated fragment to feel like a possible past.
Research Question
How can a computational artwork stage synthetic fragments in ways that invite recognition-like autobiographical uptake, and how does that experience change once their constructed nature is disclosed?
Research Focus
The research brings together reconstructive memory, synthetic-media credibility, plausibility, and Computational Arts.
I use the term synthetic memory not to describe the permanent implantation of a false memory, but a temporary and revisable form of autobiographical uptake: a condition in which a constructed fragment feels sufficiently close to one’s own past to become experientially meaningful.
The installation framework develops this through three operations:
- Coherence — visual, vocal, textual, and affective cues support one another.
- Contradiction — mismatches destabilise that temporary fit.
- Disclosure — the constructed nature of the fragment is revealed, requiring the viewer to reinterpret what previously felt possible.
Key Argument
Synthetic media becomes memory-like not simply through technical realism, but through staged plausibility.
The project therefore shifts attention from real versus fake toward the conditions through which artificial media becomes temporarily inhabitable as interpretation.
Keywords
Synthetic Memory · Plausibility · Autobiographical Memory · Synthetic Media · Spectatorship · Computational Arts