Distance estimation as a process of generating ad-hoc metrical systems

dc.contributor.authorThomson, Robert
dc.contributor.authorDavies, Jim
dc.date.accessioned2024-10-04T20:41:23Z
dc.date.available2024-10-04T20:41:23Z
dc.date.issued2009-07
dc.description.abstractThe present research utilizes a change detection paradigm to contrast two candidate processes by which distance is encoded. The first process is an intrinsic absolute metrical system, where distance is encoded in an underlying universal matrix, such as visual co-ordinates. The alternative is a local ad-hoc metrical system where distance is encoded as a ratio of the size of a salient object in the scene. Manipulating object size differentiated between these candidate processes. A forced-choice change detection task modeled after Cole, Kentride, Gellatly & Heywood (2003) and a mouse dragging task tested memory for recognition and production of distance respectively, with results indicating that changes in object size affected both memory for the recognition of-and the subsequent reproduction of past perceived distances.
dc.description.sponsorshipCarleton University BS&L EECS Army Cyber Institute
dc.identifier.citationThomson, Robert, and Jim Davies. "Distance estimation as a process of generating ad-hoc metrical systems." In Proceedings of the 31st Annual Conference of the Cognitive Science Society, pp. 2932-2937. 2009.
dc.identifier.issn1069-7977
dc.identifier.otherhttps://escholarship.org/uc/item/6427d9ds
dc.identifier.urihttps://hdl.handle.net/20.500.14216/1576
dc.publisherCognitive Science Society
dc.subjectspatial cognition
dc.subjectchange detection
dc.subjectdistance estimation
dc.titleDistance estimation as a process of generating ad-hoc metrical systems
dc.typeConference presentations, papers, posters
local.USMAemailrobert.thomson@westpoint.edu
local.peerReviewedYes

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