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University of Nevada, Reno

What Properties Drive Differences in Visual Processing between Real Objects and Images?

Abstract

dc:description.abstract

Recent research has found that real world objects are processed differently than image-based objects due to their affordances or ability to be handled and used a certain way. This study aims to test whether this technology holds the same implications as real-world objects, specifically in regards to visuomotor perception. In addition, the study also aims to support the use of an underlying cognitive mechanism such as dorsal activation outside of lower stereo cues such as shadows as the responsible party for the differences between formats. To test these theories, participants performed in a visuomotor task measuring grip aperture and just noticeable difference with different size stimuli in a real world, image, and object condition. While findings did not suggest any significant differences between real world objects and AR technology, findings do suggest a strong difference from the image condition as well as variability in the condition's adherences to Weber's law.

Degree

thesis:*
Name thesis:degree_name
Neuroscience
Level thesis:degree_level
Honors Thesis
Grantor
University of Nevada, Reno
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Paiva, Nicole
Advisor dc:contributor.advisor
  • Snow, Jacqueline C.

Rights

dc:rights
Statement dc:rights
  • Creative Commons Attribution 4.0 United States
Language dc:language.iso
en_US, English

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11714/7508
OAI identifier oai:identifier
oai:scholarwolf.unr.edu:11714/7508

Chain of custody

source
Harvested from
University of Nevada - Reno
Base URL
scholarwolf.unr.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
related terms
citation

Paiva, Nicole. What Properties Drive Differences in Visual Processing between Real Objects and Images?. Honors Thesis thesis, University of Nevada, Reno, 2020. http://hdl.handle.net/11714/7508