{"605552":{"#nid":"605552","#data":{"type":"event","title":"MS Defense by Atiyya Shaw","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: Atiyya Shaw\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESchool of Psychology Master\u0026#39;s Thesis\u0026nbsp;Defense Presentation\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u003C\/strong\u003E\u0026nbsp;Tuesday, August 14, 2018\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETime:\u003C\/strong\u003E\u0026nbsp;3:00pm\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;JS Coon 217\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAdvisor:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EProfessor James Roberts, Ph.D. (Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EThesis Committee Members:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EProfessor James Roberts, Ph.D. (Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EProfessor Susan Embretson, Ph.D. (Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EProfessor Michael P. Hunter, Ph.D. (Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle: \u003C\/strong\u003EApplying Item Response Theory to Measure Drivers\u0026rsquo; Perceived Complexity of Roadway Environments\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERoadway environments constitute visually complex systems within which users make split-second critical decisions on a daily basis. As such, understanding transportation system user perception and performance across varied roadway environments is crucial for a broad array of transportation research and engineering purposes (e.g. understanding safety data trends, informing roadway design guidelines, etc.). This thesis applies item response theory (IRT) to identify and interpret the dimensions present that influence drivers\u0026rsquo; perceived complexity of roadway environments. We find that a four dimensional polytomous Graded Response Model best measures this data, and were able to ascertain that participants\u0026rsquo; perceived complexity ratings were most affected by their perception of freeway and urban environments, as well the visibility and traffic conditions of the particular roadway. This study enables not only an understanding of the factors that influence driver perception of the built environment, but demonstrates an application of multidimensional, polytomous IRT to study transportation system user perception, one of the first known implementations of multidimensional IRT within transportation engineering.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Applying Item Response Theory to Measure Drivers\u2019 Perceived Complexity of Roadway Environments"}],"uid":"27707","created_gmt":"2018-04-26 13:09:05","changed_gmt":"2018-08-01 18:30:17","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-08-14T16:00:00-04:00","event_time_end":"2018-08-14T18:00:00-04:00","event_time_end_last":"2018-08-14T18:00:00-04:00","gmt_time_start":"2018-08-14 20:00:00","gmt_time_end":"2018-08-14 22:00:00","gmt_time_end_last":"2018-08-14 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"111531","name":"ms defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}