Perceptual Comparison of Procedural and Data-Driven Eye Motion Jitter
Sophie Jorg , Andrew T. Duchowski , Krzysztof Krejtz , Anna Niedzielska
AbstractResearch has shown that keyframed eye motions are perceived as more realistic when some noise is added to eyeball motions and to pupil size changes. We investigate whether this noise, in contrast to being motion captured, can be synthesized with standard techniques, e.g., procedural or data-driven approaches. In a two-alternative forced choice task, we compare eye animations created with four different techniques: motion captured, procedural, data-driven, and keyframed (lacking noise). Our perceptual experiment uses three character models with different levels of realism and two motions. Our results suggest that procedural and data-driven noise can be used to create animations at similar perceived naturalness to our motion captured approach. Participants’ eye movements when viewing the animations show that animations without jitter yielded fewer fixations, suggesting ease of dismissal as unnatural.
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Neyret Solène, Kokkinara Elena, Gonzalez Franco Mar, Hoyet Ludovic, Cunningham Douglas W., Świdrak Justyna (eds.): SAP '19 ACM Symposium on Applied Perception 2019, 2019, Association for Computing Machinery, ISBN 978-1-4503-6890-2, 197 p.
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