Sign inGet started
Paper · arXiv

A Human-Factors Guided Cognitive Model of Visuospatial Complexity in Embodied Active Vision

We propose a novel framework for the analysis of multimodal data -- encompassing visual, auditory, and spatial stimuli -- foregrounding the role of complexity in embodied perception and interaction in dynamic, naturalistic settings. Grounded in theories of embodied cognition and active vision, we argue that embodied perceptual complexity emerges from an agent's dynamic engagement with the environment and must be analyzed holistically, as a combination of qualitative and quantitative attributes pertaining to, for instance, visuospatial and auditory features. Building on previous work on visual complexity, we expand this into a categorization of diverse complexity attributes -- quantitative...

AuthorsVasiliki Kondyli, Jakob Suchan, Mehul Bhatt
Primary categoryq-bio.NC
Published26 June 2026
Last updated at source26 June 2026
q-bio.NCcs.AIcs.CV
Embed this entry
<iframe src="https://silytics.si/embed/item/b43fa93f-ee2e-4641-96d4-a5458d61abe0" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.