Real-time Slow-motion : A Framework for Slow-motion Without Deviating from Real-time.

Augmented Humans(2024)

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Abstract
Real-time and slow-motion are incompatible. This is a fundamental incompatibility based on the relationship between recording and playback. We propose Real-time Slow-motion, a framework that allows for the coexistence of both. In a see-through system with a pair of a camera and head-mounted display (HMD), this framework provides temporal editing between camera and display within the short width of the subjective present (i.e. now): the camera inputs, divided into small durations, are alternately distributed on two timelines, then stretched twice on the timelines, and these layers are assigned to the left and right eye displays respectively. The hypothesis is that, under certain conditions, the brain integrates images from both eyes, resulting in a slow-motion experience that does not deviate from real-time (i.e., users experience real-time events with slow-motion mode). This paper describes the implementation and the psychological evaluation experiments and interviews about the realized experience. The framework of Real-time Slow-motion is then generalized, and its applications and limitations are discussed. This research suggests a new field of “Temporal Editing to Humans.”
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