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Preferred Amounts of Virtual Image Sharpening in Augmented Reality Applications Using the Sharpview Algorithm.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Preferred Amounts of Virtual Image Sharpening in Augmented Reality Applications Using the Sharpview Algorithm./
Author:	Cook, Henry.
Description:	1 online resource (56 pages)
Notes:	Source: Masters Abstracts International, Volume: 56-06.
Contained By:	Masters Abstracts International56-06(E).
Subject:	Computer science. -
Online resource:	click for full text (PQDT)
ISBN:	9780355146691

Preferred Amounts of Virtual Image Sharpening in Augmented Reality Applications Using the Sharpview Algorithm.
Cook, Henry.

Preferred Amounts of Virtual Image Sharpening in Augmented Reality Applications Using the Sharpview Algorithm. - 1 online resource (56 pages)

Source: Masters Abstracts International, Volume: 56-06.

Thesis (M.S.)

Includes bibliographical references

The thesis presented in this paper is an attempt to quantify generally preferred amounts of virtual image sharpening in augmented reality applications. This preferred amount of sharpening is sought after in an effort to alleviate eye fatigue, and other negative symptoms, caused by accommodation switching between virtual images and real objects in augmented reality (AR) systems. This is an important area of research within the AR world due to the presence of many AR applications that supplement the real world with virtual information, often in the form of virtual text for users to read. An experiment, involving human subjects choosing between higher and lower sharpening amounts, was run to expose preferred amounts of sharpening or patterns of chosen amounts in relation to a number of variables within the experiment; those variables are: virtual text accommodative distance, real text accommodative distance, and the object of focus (real or virtual). The results of this experimentation may benefit future AR research and implementations, specifically in how they handle users switching focus.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355146691Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

Preferred Amounts of Virtual Image Sharpening in Augmented Reality Applications Using the Sharpview Algorithm.
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520 $a The thesis presented in this paper is an attempt to quantify generally preferred amounts of virtual image sharpening in augmented reality applications. This preferred amount of sharpening is sought after in an effort to alleviate eye fatigue, and other negative symptoms, caused by accommodation switching between virtual images and real objects in augmented reality (AR) systems. This is an important area of research within the AR world due to the presence of many AR applications that supplement the real world with virtual information, often in the form of virtual text for users to read. An experiment, involving human subjects choosing between higher and lower sharpening amounts, was run to expose preferred amounts of sharpening or patterns of chosen amounts in relation to a number of variables within the experiment; those variables are: virtual text accommodative distance, real text accommodative distance, and the object of focus (real or virtual). The results of this experimentation may benefit future AR research and implementations, specifically in how they handle users switching focus.
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538 $a Mode of access: World Wide Web
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