Think! Evidence

An investigation of human capability to predict the future location of objects in motion

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dc.contributor.author Kelling, Nicholas J. en_US
dc.date.accessioned 2009-06-08T18:44:27Z
dc.date.accessioned 2015-07-13T10:56:13Z
dc.date.available 2009-06-08T18:44:27Z
dc.date.available 2015-07-13T10:56:13Z
dc.date.issued 2009-04-06 en_US
dc.identifier.uri http://hdl.handle.net/1853/28103
dc.identifier.uri http://evidence.thinkportal.org/handle/1853/28103
dc.description.abstract Hitting a Major League fastball pitch may be the most difficult task in the sports realm. Anecdotal evidence suggests that certain individuals are able to perform this task reasonably well, perhaps because of superior sensitivity to changes in motion. However, the substantial lack of research investigating detection and assessment of changes in motion renders this conclusion problematic (Kelling, 2008). Two experiments, using expert and novice participants, assessed sensitivity to changes in motion. Experts for these studies were defined as current members of the Georgia Institute of Technology Yellow Jacket softball team. Experimental procedures included assessments of capabilities in batting and motion tracking tasks. Experiment One presented participants with recorded softball pitches thrown from a pitching machine. Experiment Two required participants to predict multiple landing locations for incomplete motion paths resulting from a single main target exploding into additional shrapnel pieces. Results suggest minimal expertise effects in the softball task with high performance by all participants, while distinct expertise effects exist in the shrapnel task. The motion tracking task resulted in fewer errors by experts, while all participants demonstrated a significantly large drop in performance with increasing number of shrapnel pieces. Findings from this work not only have application to the sport of softball, but are critical for identifying the people's capability to detect and assess changes in motion. en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Vision en_US
dc.subject Visual prediction en_US
dc.subject Object motion en_US
dc.subject Perception en_US
dc.subject.lcsh Visual perception
dc.subject.lcsh Perpetual motion
dc.subject.lcsh Motion
dc.title An investigation of human capability to predict the future location of objects in motion en_US
dc.type Dissertation en_US
dc.description.degree Ph.D. en_US
dc.contributor.department Psychology en_US
dc.description.advisor Committee Chair: Dr. Gregory M. Corso; Committee Member: Dr. Arthur D. Fisk; Committee Member: Dr. Bruce Walker; Committee Member: Dr. Lawrence R. James; Committee Member: Dr. Paul Corballis; Committee Member: Dr. Robert Gregor en_US


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