{"id":{"repo_id":"houston","oai_identifier":"oai:uh-ir.tdl.org:10657/1252"},"canonical_url":"https://search.dev.ndltd.org/etd/houston/oai:uh-ir.tdl.org:10657/1252","repository":{"repo_id":"houston","name":"University of Houston","base_url":"https://uh-ir.tdl.org/server/oai/request"},"display":{"title":"ON COMPUTATIONAL TECHNIQUES FOR EXPLORING PARENT-INFANT DYNAMICS DURING SOCIAL INTERACTION","abstract":"With the recent trend in developmental science toward new techniques and methods that involve sophisticated hardware and data processing, it is becoming more and more important to merge the many different subfields within psychology, computer science, and engineering. This current paper provides a new perspective on how the two fields of developmental science and computer vision may benefit from one another through a mutual interest in resolving the complex questions regarding human learning. Several well established techniques in cognitive development and image processing are outlined in terms of their importance in bridging the gap between the two research areas. The combined efforts help to formulate new sets of questions crucial to understanding human cognition, particularly in regards to the development of infant visual attention. The methods and techniques outlined in this paper only scratch the surface of what is possible when combining knowledge across multiple disciplines. Specifically, processing images extracted from third-person and first- person-view cameras and head-mounted eye trackers can aid in understanding the complex series of factors involved in parent-child social interactions. Advantages in being able to collective extensive amounts of data from these techniques as well as their potential limitations will be discussed.","abstract_html":"With the recent trend in developmental science toward new techniques and methods that involve sophisticated hardware and data processing, it is becoming more and more important to merge the many different subfields within psychology, computer science, and engineering. This current paper provides a new perspective on how the two fields of developmental science and computer vision may benefit from one another through a mutual interest in resolving the complex questions regarding human learning. Several well established techniques in cognitive development and image processing are outlined in terms of their importance in bridging the gap between the two research areas. The combined efforts help to formulate new sets of questions crucial to understanding human cognition, particularly in regards to the development of infant visual attention. The methods and techniques outlined in this paper only scratch the surface of what is possible when combining knowledge across multiple disciplines. Specifically, processing images extracted from third-person and first- person-view cameras and head-mounted eye trackers can aid in understanding the complex series of factors involved in parent-child social interactions. Advantages in being able to collective extensive amounts of data from these techniques as well as their potential limitations will be discussed.","abstract_has_math":false,"creators":["Burling, Joseph Michael"],"institution":"University of Houston","degree_name":"Doctor of Philosophy","degree_level":"Doctoral","degree_discipline":"Psychology","degree_department":null,"school":null,"contributors":[],"advisors":["Yoshida, Hanako"],"committee_chairs":[],"committee_members":["Breitmeyer, Bruno G.","Shah, Shishir Kirit"],"year":2015,"date_issued":"2015-05","date_published":"2015-05","updated_at":"2026-07-24T02:32:58Z","subjects":["Cognitive development","Computational methods"],"languages":["eng"],"rights":["The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. 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This current paper provides a new perspective on how the two fields of developmental science and computer vision may benefit from one another through a mutual interest in resolving the complex questions regarding human learning. Several well established techniques in cognitive development and image processing are outlined in terms of their importance in bridging the gap between the two research areas. The combined efforts help to formulate new sets of questions crucial to understanding human cognition, particularly in regards to the development of infant visual attention. The methods and techniques outlined in this paper only scratch the surface of what is possible when combining knowledge across multiple disciplines. Specifically, processing images extracted from third-person and first- person-view cameras and head-mounted eye trackers can aid in understanding the complex series of factors involved in parent-child social interactions. Advantages in being able to collective extensive amounts of data from these techniques as well as their potential limitations will be discussed."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["ON COMPUTATIONAL TECHNIQUES FOR EXPLORING PARENT-INFANT DYNAMICS DURING SOCIAL INTERACTION"]}]}],"canonical_facts":{"dc:contributor.advisor":["Yoshida, Hanako"],"dc:contributor.committeemember":["Breitmeyer, Bruno G.","Shah, Shishir Kirit"],"dc:creator":["Burling, Joseph Michael"],"dc:date.accessioned":["2016-02-29T02:47:07Z"],"dc:date.available":["2016-02-29T02:47:07Z"],"dc:date.issued":["2015-05"],"dc:description.abstract":["With the recent trend in developmental science toward new techniques and methods that involve sophisticated hardware and data processing, it is becoming more and more important to merge the many different subfields within psychology, computer science, and engineering. 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