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A Method to Analyze Similarities of Eye Movements: a Giscience Based Spatiotemporal Approach

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A Method to Analyze Similarities of Eye Movements: a Giscience Based Spatiotemporal Approach University of South Florida Scholar Commons Graduate Theses and Dissertations Graduate School November 2019 A Method to Analyze Similarities of Eye Movements: a GIScience Based Spatiotemporal Approach Mehrdad Vaziri University of South Florida Follow this and additional works at: https://scholarcommons.usf.edu/etd Part of the Geographic Information Sciences Commons Scholar Commons Citation Vaziri, Mehrdad, "A Method to Analyze Similarities of Eye Movements: a GIScience Based Spatiotemporal Approach" (2019). Graduate Theses and Dissertations. https://scholarcommons.usf.edu/etd/8691 This Dissertation is brought to you for free and open access by the Graduate School at Scholar Commons. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. A Method to Analyze Similarities of Eye Movements: a GIScience Based Spatiotemporal Approach by Mehrdad Vaziri A dissertation submitted in partial fulfillment of the requirement for the degree of Doctor of Philosophy in Geography and Environmental Science and Policy School of Geosciences College of Arts and Sciences University of South Florida Major Professor: Joni Firat, Ph.D. Steven Reader, Ph.D. Philip Van Beynen, Ph.D. Elizabeth Schotter, Ph.D. Date of Approval: November 19, 2019 Keywords: Similarity Analysis, GIScience, Eye Tracking, Spatiotemporal Copyright © 2019, Mehrdad Vaziri DEDICATION Dedicated to my wife Tina and my Uncle Reza, my Mother and Father, My Brothers and Sisters and all their beautiful children, Mahshid, Sina, Kian, Parnyan ACKNOWLEDGMENT I would like to thank my major professor Dr. Joni Firat for her neverending support and mentorship throughout my time at USF. I would not be able to finish without her guidance and patience, for that I am eternally grateful. I am also thankful to all my committee members Dr. Reader, and Dr. Schotter, and Dr. Van Beynen, who provided very insightful feedback in the process. This research heavily relied on existing movement datasets, and I would like to thank Professors Joergensen and Altmann from the University of Connecticut who were kind enough to share their eye movement datasets and Dr. Firat, who allowed me to use her ducks’ tracking dataset. These datasets helped me a lot in developing my method. I would also like to thank all the departments and schools that supported my education and provided employment and financial support. School of Geoscience and Psychology Department provided valuable experiences of teaching and research at different stages, and for that, I very grateful. Tharp Fellowship at the School of Geosciences and Graduate School, which provided financial support throughout my education, I would like to thank them as well. Finally, I would like to thank all the people who helped me in any way in the process, my peers at the School of Geoscience, and the very kind members of the staff who were always patient to help. Most of all, thank you, my family, who have always supported me and been there for me. Thank you, my wife, Tina, who was with me every step of the way and helped me achieve my goals. TABLE OF CONTENT LIST OF TABLES ....................................................................................................................................... iii LIST OF FIGURES ..................................................................................................................................... iv ABSTRACT ................................................................................................................................................. vi CHAPTER ONE: INTRODUCTION .......................................................................................................... 1 1.1. Research Objectives .................................................................................................................. 2 1.2. Terminology .............................................................................................................................. 3 1.3. Dissertation Outline .................................................................................................................. 5 CHAPTER TWO: A CROSS-EXAMINATION OF METHODS OF ANALYZING MOVING ENTITIES APPLICABLE TO NON-GEOSPATIAL MOVING OBJECTS ........................................ 6 Abstract ............................................................................................................................................ 6 2.1. Introduction ............................................................................................................................... 6 2.2. Selected Methods .................................................................................................................... 10 2.2.1. Geospatial similarity methods ................................................................................. 12 2.2.2. Non-geospatial similarity Methods ......................................................................... 20 2.3. Discussion ............................................................................................................................... 28 2.3.1. Dynamic Interaction (DI) ........................................................................................ 29 2.3.2. Trajectory Segmentation ......................................................................................... 30 2.3.3. Scasim (Scanpath similarity) .................................................................................. 30 2.3.4. ScanMatch .............................................................................................................. 30 2.3.5. MultiMatch ............................................................................................................. 31 2.4. Proposed Framework .............................................................................................................. 32 CHAPTER THREE: MOBILE EVENT SIMILARITY INDEX(MESI): A COMPREHENSIVE METHOD COMPARE MOVING ENTITIES’ TRAJECTORIES ...................................................... 35 Abstract .......................................................................................................................................... 35 3.1. Introduction ............................................................................................................................. 35 3.2. Related work ........................................................................................................................... 37 3.3. Methodology ........................................................................................................................... 39 3.3.1. Mobile Event Similarity Index (MESI)................................................................... 39 3.3.2. Pairing ..................................................................................................................... 40 3.3.3. Dissimilarity ............................................................................................................ 41 3.3.4. Similarity ................................................................................................................ 45 3.4. Application .............................................................................................................................. 49 3.5. Case study ............................................................................................................................... 50 3.5.1. Eye Movements ...................................................................................................... 50 3.5.2. Animal Movements ................................................................................................. 54 3.6. Results ..................................................................................................................................... 56 i 3.6.1. Eye Movements ...................................................................................................... 56 3.6.2. Animal Movements ................................................................................................. 59 3.7. Discussion ............................................................................................................................... 61 CHAPTER FOUR: APPLYING MOBILE EVENT’s SIMILARITY INDEX(MESI) TO EYE MOVEMENT ....................................................................................................................................... 65 Abstract .......................................................................................................................................... 65 4.1. Introduction ............................................................................................................................. 65 4.2. Related work ........................................................................................................................... 67 4.3. Methodology ........................................................................................................................... 69 4.3.1. MESI ....................................................................................................................... 69 4.3.2. Eye Movement dataset ............................................................................................ 75 4.3.3. MESI’s parameters.................................................................................................. 76 4.4. Results ....................................................................................................................................
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