• Medientyp: E-Book
  • Titel: Eye-Tracking with Python and Pylink
  • Beteiligte: Wang, Zhiguo [VerfasserIn]
  • Erschienen: Cham: Springer International Publishing, 2021.
    Cham: Imprint: Springer, 2021.
  • Ausgabe: 1st ed. 2021.
  • Umfang: 1 Online-Ressource(X, 233 p. 41 illus., 34 illus. in color.)
  • Sprache: Englisch
  • DOI: 10.1007/978-3-030-82635-2
  • ISBN: 9783030826352
  • Identifikator:
  • Schlagwörter: Cognitive psychology. ; Psychology, Experimental. ; Philosophy of mind. ; Psychology—Methodology. ; Psychological measurement. ; Lasers. ; Photonics. ; Computer science.
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: Preface; Chapter 1 -- A gentle introduction to Python; Chapter 2 -- Building experiments with PsychoPy; Chapter 3 -- Building experiments with Pygame; Chapter 4 -- Getting to know Pylink; Chapter 5 -- Preparing scripts for analysis and visualization in Data Viewer; Chapter 6 -- Retrieving gaze data over the link; Chapter 7 -- Advanced Pylink Functions; Chapter 8:Data analysis and visualization in Python; Chapter 9 -- Miscellaneous.

    Several Python programming books feature tools designed for experimental psychologists. What sets this book apart is its focus on eye-tracking. Eye-tracking is a widely used research technique in psychology and neuroscience labs. Research grade eye-trackers are typically faster, more accurate, and of course, more expensive than the ones seen in consumer goods or usability labs. Not surprisingly, a successful eye-tracking study usually requires sophisticated computer programming. Easy syntax and flexibility make Python a perfect choice for this task, especially for psychology researchers with little or no computer programming experience. This book offers detailed coverage of the Pylink library, a Python interface for the gold standard EyeLink ® eye-trackers, with many step-by-step example scripts. This book is a useful reference for eye-tracking researchers, but you can also use it as a textbook for graduate-level programming courses.