Books on the topic 'Eye Movement Measurements'

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1

Anderson, Dominic P. Eye movement: Theory, interpretation, and disorders. New York: Nova Science Publishers, 2011.

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2

Anderson, Dominic P. Eye movement: Theory, interpretation, and disorders. New York: Nova Science Publishers, 2011.

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3

Eye tracking: A comprehensive guide to methods and measures. Oxford: Oxford University Press, 2011.

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4

Holmqvist, Kenneth. Eye tracking: A comprehensive guide to methods and measures. Oxford: Oxford University Press, 2011.

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5

Gaze interaction and applications of eye tracking: Advances in assistive technologies. Hershey, PA: Medical Information Science Reference, 2012.

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6

Anisimov, G. V. Kinoregistrat͡s︡ii͡a︡ dvizheniĭ glaz kak metod inzhenerno-psikhologicheskikh issledovaniĭ. Moskva: "Mashinostroenie", 1985.

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7

EEG-Veränderungen bei einer psychomotorischen Koordinationsaufgabe: Vigilanzregulierung des Benzodiazepins Lormetazepam (Noctamid) in Ruhe-Episoden und in psychomotorischen Aktivierungsphasen. Frankfurt am Main: P. Lang, 1992.

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8

Eizenman, Moshe. Continuity and asymmetry in amplitude-duration relations for normal eye saccades. Toronto: Dept. of Computer Science, University of Toronto, 1986.

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9

Sung, Kwangjae. A model-based approach for the measurement of eye movements using image processing. Washington, D.C: National Aeronautics and Space Administration, 1997.

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10

United States. Office of Motor Carrier and Highway Safety. Ocular measures of driver alertness: Technical conference proceedings. Washington, DC] (400 Seventh Street, SW, Washington 20590): [Office of Motor Carrier and Highway Safety/Federal Highway Administration, 1999.

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11

Linde, Lucille M. J. Manual for the Lucille Linde ocumeter: Ocular pursuit measuring instrument. Stockton, Calif: L.M.J. Linde, 1992.

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12

Crawford, Daniel J. Techniques used for the analysis of oculometer eye-scanning data opbtained from an air traffic control display. Hampton, VA: Lockheed Engineering & Sciences Co., 1993.

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13

Crawford, Daniel J. Techniques used for the analysis of oculometer eye-scanning data opbtained from an air traffic control display. Hampton, VA: Lockheed Engineering & Sciences Co., 1993.

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14

E, Freeman Ann, ed. Insight from the eyes: The science of effective reading instruction. Portsmouth, NH: Heinemann, 2003.

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15

Guide to the Standard Emdr Therapy Protocols for Clinicians, Supervisors, and Consultants, Second Edition. Springer Publishing Company, Incorporated, 2016.

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16

National Aeronautics and Space Administration (NASA) Staff. Model-Based Approach for the Measurement of Eye Movements Using Image Processing. Independently Published, 2018.

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17

F, Reschke Millard, and Lyndon B. Johnson Space Center., eds. A model-based approach for the measurement of eye movements using image processing. [Houston, Tex: Lyndon B. Johnson Space Center, 1997.

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18

A model-based approach for the measurement of eye movements using image processing. [Houston, Tex: Lyndon B. Johnson Space Center, 1997.

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19

F, Reschke Millard, and Lyndon B. Johnson Space Center., eds. A model-based approach for the measurement of eye movements using image processing. [Houston, Tex: Lyndon B. Johnson Space Center, 1997.

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20

F, Reschke Millard, and Lyndon B. Johnson Space Center., eds. A model-based approach for the measurement of eye movements using image processing. [Houston, Tex: Lyndon B. Johnson Space Center, 1997.

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21

Paulson, Eric J., and Ann E. Freeman. Insight from the Eyes: The Science of Efffective Reading Instruction. Heinemann, 2003.

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22

Bucy, Erik P., and Patrick Stewart. The Personalization of Campaigns: Nonverbal Cues in Presidential Debates. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228637.013.52.

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Abstract:
Nonverbal cues are important elements of persuasive communication whose influence in political debates are receiving renewed attention. Recent advances in political debate research have been driven by biologically grounded explanations of behavior that draw on evolutionary theory and view televised debates as contests for social dominance. The application of biobehavioral coding to televised presidential debates opens new vistas for investigating this time-honored campaign tradition by introducing a systematic and readily replicated analytical framework for documenting the unspoken signals that are a continuous feature of competitive candidate encounters. As research utilizing biobehavioral measures of presidential debates and other political communication progresses, studies are becoming increasingly characterized by the use of multiple methodologies and merging of disparate data into combined systems of coding that support predictive modeling.Key elements of nonverbal persuasion include candidate appearance, communication style and behavior, as well as gender dynamics that regulate candidate interactions. Together, the use of facial expressions, voice tone, and bodily gestures form uniquely identifiable display repertoires that candidates perform within televised debate settings. Also at play are social and political norms that govern candidate encounters. From an evaluative standpoint, the visual equivalent of a verbal gaffe is the commission of a nonverbal expectancy violation, which draws viewer attention and interferes with information intake. Through second screens, viewers are able to register their reactions to candidate behavior in real time, and merging biobehavioral and social media approaches to debate effects is showing how such activity can be used as an outcome measure to assess the efficacy of candidate nonverbal communication during televised presidential debates.Methodological approaches employed to investigate nonverbal cues in presidential debates have expanded well beyond the time-honored technique of content analysis to include lab experiments, focus groups, continuous response measurement, eye tracking, vocalic analysis, biobehavioral coding, and use of the Facial Action Coding System to document the muscle movements that comprise leader expressions. Given the tradeoffs and myriad considerations involved in analyzing nonverbal cues, critical issues in measurement and methodology must be addressed when conducting research in this evolving area. With automated coding of nonverbal behavior just around the corner, future research should be designed to take advantage of the growing number of methodological advances in this rapidly evolving area of political communication research.
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