- Title Information
- Title
- Human Performance in Perceptual Tasks Involving Estimation and Navigation
- Name:
Personal
- Name Part
- Raiti, John G
- Role
- Role Term:
Text
- creator
- Origin Information
- Copyright Date
- 2012
- Physical Description
- Extent
- xx, 157 p.
- digitalOrigin
- born digital
- Note
- Thesis (Ph.D. -- Brown University (2012)
- Name:
Personal
- Name Part
- Daniels, Jerry
- Role
- Role Term:
Text
- Director
- Name:
Personal
- Name Part
- Anderson, James
- Role
- Role Term:
Text
- Reader
- Name:
Personal
- Name Part
- Engbretson, Gustav
- Role
- Role Term:
Text
- Reader
- Name:
Personal
- Name Part
- Stein, John
- Role
- Role Term:
Text
- Reader
- Name:
Personal
- Name Part
- Zia, Rashid
- Role
- Role Term:
Text
- Reader
- Name:
Corporate
- Name Part
- Brown University. Biomedical Engineering
- Role
- Role Term:
Text
- sponsor
- Genre (aat)
- theses
- Abstract
- This thesis is centered around a novel computer navigation experience. A computer game was developed to study how humans navigate from a start position to a goal over a simulated terrain resembling a mogul field with a limited view and limited spatial resolution of the terrain. Participants learned by playing that elevation and angle-to-goal affected scoring.
The virtual mogul field inspired a tangible representation of the field in the form of peanut M&M clusters. Participants’ performance in the estimation of tangible versus simulated (video) items using vision and/or touch was investigated. The theme of comparing estimation performance using virtual versus tangible items was continued in another experiment where participants were asked to estimate the areas of irregular flat shapes.
A quantitative method for measuring differences in the perception of real and virtual objects was developed. In addition to studying how participants estimate path planning (consisting of a number of discrete steps), Chapter 5 examines human performance in estimating the number of items in a transparent sealed bag. Performance in estimating 305 candies was compared across five conditions: (1) vision-plus-touch, (2) binocular vision, (3) monocular vision, (4) video, and (5) touch (blindfolded). It was found that estimation after seeing plus feeling the bag was better than seeing (binocular) alone, and binocular was better than monocular viewing, and either way of viewing real objects was better than looking at a video of the objects, and all those involving vision were better than feeling the bag blindfolded.
Participants discovered scoring parameters when presented with only a restricted view (patch) of the terrain coupled with low resolution images, demonstrating that perfect (highest) resolution is not required for learning to navigate through a novel environment. Given the performance of participants with limited resolution images of the terrain, performance using real objects was then examined in this thesis. Real objects improved performance over virtual images in both numerosity and area estimation tasks.
- Subject
- Topic
- estimation
- Subject (FAST)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/1057622")
- Topic
- Perception
- Subject (FAST)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/1035085")
- Topic
- Navigation
- Record Information
- Record Content Source (marcorg)
- RPB
- Record Creation Date
(encoding="iso8601")
- 20121023
- Language
- Language Term:
Code (ISO639-2B)
- eng
- Language Term:
Text
- English
- Identifier:
DOI
- 10.7301/Z0HH6HC9
- Access Condition:
rights statement
(href="http://rightsstatements.org/vocab/InC/1.0/")
- In Copyright
- Access Condition:
restriction on access
- Collection is open for research.
- Type of Resource (primo)
- dissertations