Eye Tracking With Python And Pylink PDF Download
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| Author | : Zhiguo Wang |
| Publisher | : Springer Nature |
| Total Pages | : 237 |
| Release | : 2021-11-26 |
| Genre | : Psychology |
| ISBN | : 303082635X |
Download Eye-Tracking with Python and Pylink Book in PDF, ePub and Kindle
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.
| Author | : Andrew T. Duchowski |
| Publisher | : Springer |
| Total Pages | : 387 |
| Release | : 2017-05-24 |
| Genre | : Computers |
| ISBN | : 3319578839 |
Download Eye Tracking Methodology Book in PDF, ePub and Kindle
This book focuses on video-based, corneal-reflection eye trackers – the most widely available and affordable type of system, and takes a look at a number of interesting and challenging applications in human factors, collaborative systems, virtual reality, marketing and advertising. The third edition has been extensively revised and extended, and includes new chapters on calibration accuracy, precision and correction; advanced eye movement analysis; binocular eye movement analysis; practical gaze analytics; design; GIS. Opening with useful background information, including an introduction to the human visual system and key issues in visual perception and eye movement, the author then surveys eye-tracking devices and provides a detailed introduction to the technical requirements necessary for installing a system and developing an application program.
| Author | : Aga Bojko |
| Publisher | : Rosenfeld Media |
| Total Pages | : 321 |
| Release | : 2013-11-15 |
| Genre | : Computers |
| ISBN | : 1933820918 |
Download Eye Tracking the User Experience Book in PDF, ePub and Kindle
Eye tracking is a widely used research method, but there are many questions and misconceptions about how to effectively apply it. Eye Tracking the User Experience—the first how-to book about eye tracking for UX practitioners—offers step-by-step advice on how to plan, prepare, and conduct eye tracking studies; how to analyze and interpret eye movement data; and how to successfully communicate eye tracking findings.
| Author | : Jigyasa Chauhan |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2022 |
| Genre | : |
| ISBN | : |
Download An Empirical Study on the Classificiation of Python Language Features Using Eye-tracking Book in PDF, ePub and Kindle
Python, currently one of the most popular programming languages, is an objectoriented language that also provides language feature support for other programming paradigms, such as functional and procedural. It is not currently understood how support for multiple paradigms affects the ability of developers to comprehend that code. Understanding the predominant paradigm in code, and how developers classify the predominant paradigm, can benefit future research in program comprehension as the paradigm may factor into how people comprehend that code. Other researchers may want to look at how the paradigms in the code interact with various code smells. To investigate how developers classify the predominant paradigm in Python code, we performed an empirical study while utilizing an eye-tracker. The goal was to see if developers gaze at specific language features while classifying the predominant paradigm and debugging code samples. The study includes both qualitative and quantitative data from 29 Python developers, including their gaze fixations during the tasks. We observed that participants seem to confuse the functional and procedural paradigms, possibly due to confusing terminology used in Python, though they do gaze at specific language features. Overall, participants took more time classifying functional code. The predominant paradigm did not affect their ability to debug code, though they gave lower confidence ratings for functional code.
| Author | : Jonathan Peirce |
| Publisher | : SAGE |
| Total Pages | : 313 |
| Release | : 2022-01-12 |
| Genre | : Psychology |
| ISBN | : 1529788692 |
Download Building Experiments in PsychoPy Book in PDF, ePub and Kindle
PsychoPy is an open-source software package for creating rich, dynamic experiments in psychology, neuroscience and linguistics. Written by its creator, this book walks you through the steps of building experiments in PsychoPy, from using images to discovering lesser-known features, and from analysing data to debugging your experiment. Divided into three parts and with unique extension exercises to guide you at whatever level you are at, this textbook is the perfect tool for teaching practical undergraduate classes on research methods, as well as acting as a comprehensive reference text for the professional scientist. Essential reading for anyone using PsychoPy software, the second edition has been fully updated and includes multiple new chapters about features included in recent versions of PsychoPy, including running studies online and collecting survey data. Part I teaches you all the basic skills you need (and some more advanced tips along the way) to design experiments in behavioral sciences. Each chapter introduces anew concept but will offer a series of working experiments that you can build on. Part II presents more details important for professional scientists intending to use PsychoPy for published research. This part is recommended reading for science professionals in any discipline. Part III covers a range of specialist topics, such as those doing fMRI research, or those studying visual perception. "This book fills an incredibly important gap in the field. Many users of PsychoPy will be excited to learn that there is now a highly accessible and well-designed written guide to refine their skills." – Susanne Quadflieg, University of Bristol
| Author | : Paul Miller |
| Publisher | : MIT Press |
| Total Pages | : 405 |
| Release | : 2018-10-09 |
| Genre | : Science |
| ISBN | : 0262347563 |
Download An Introductory Course in Computational Neuroscience Book in PDF, ePub and Kindle
A textbook for students with limited background in mathematics and computer coding, emphasizing computer tutorials that guide readers in producing models of neural behavior. This introductory text teaches students to understand, simulate, and analyze the complex behaviors of individual neurons and brain circuits. It is built around computer tutorials that guide students in producing models of neural behavior, with the associated Matlab code freely available online. From these models students learn how individual neurons function and how, when connected, neurons cooperate in a circuit. The book demonstrates through simulated models how oscillations, multistability, post-stimulus rebounds, and chaos can arise within either single neurons or circuits, and it explores their roles in the brain. The book first presents essential background in neuroscience, physics, mathematics, and Matlab, with explanations illustrated by many example problems. Subsequent chapters cover the neuron and spike production; single spike trains and the underlying cognitive processes; conductance-based models; the simulation of synaptic connections; firing-rate models of large-scale circuit operation; dynamical systems and their components; synaptic plasticity; and techniques for analysis of neuron population datasets, including principal components analysis, hidden Markov modeling, and Bayesian decoding. Accessible to undergraduates in life sciences with limited background in mathematics and computer coding, the book can be used in a “flipped” or “inverted” teaching approach, with class time devoted to hands-on work on the computer tutorials. It can also be a resource for graduate students in the life sciences who wish to gain computing skills and a deeper knowledge of neural function and neural circuits.
| Author | : Eugene Charniak |
| Publisher | : MIT Press |
| Total Pages | : 187 |
| Release | : 2019-01-29 |
| Genre | : Computers |
| ISBN | : 0262039516 |
Download Introduction to Deep Learning Book in PDF, ePub and Kindle
A project-based guide to the basics of deep learning. This concise, project-driven guide to deep learning takes readers through a series of program-writing tasks that introduce them to the use of deep learning in such areas of artificial intelligence as computer vision, natural-language processing, and reinforcement learning. The author, a longtime artificial intelligence researcher specializing in natural-language processing, covers feed-forward neural nets, convolutional neural nets, word embeddings, recurrent neural nets, sequence-to-sequence learning, deep reinforcement learning, unsupervised models, and other fundamental concepts and techniques. Students and practitioners learn the basics of deep learning by working through programs in Tensorflow, an open-source machine learning framework. “I find I learn computer science material best by sitting down and writing programs,” the author writes, and the book reflects this approach. Each chapter includes a programming project, exercises, and references for further reading. An early chapter is devoted to Tensorflow and its interface with Python, the widely used programming language. Familiarity with linear algebra, multivariate calculus, and probability and statistics is required, as is a rudimentary knowledge of programming in Python. The book can be used in both undergraduate and graduate courses; practitioners will find it an essential reference.
| Author | : Douglas G. Mook |
| Publisher | : Greenwood |
| Total Pages | : 392 |
| Release | : 2004-12-30 |
| Genre | : Psychology |
| ISBN | : |
Download Classic Experiments in Psychology Book in PDF, ePub and Kindle
The typical survey course in psychology has time for only limited presentation of the research on which our knowledge is based. As a result, many students come away with a limited understanding of the role of experiments in psychological science. Where do experiments come from and how are they conducted? What are the pitfalls and how can we avoid them? What advantages do they have over intuition, authority, and common sense as guides to knowing and acting? What distinguishes research-based psychology from psychobabble? What have we learned from experimentation in psychology? This book presents, in more depth than textbook treatment permits, the background, conduct, and implications of a selection of classic experiments in psychology. The selection is designed to be diverse, showing that even for research in vastly different areas of study, the logic of research remains the same—as do its traps and pitfalls. This book will broaden and deepen the understanding of experimental methods in psychological research, examining where the research questions come from, how questions can be turned into experiments, and how researchers have faced the problems presented by research in psychology.
| Author | : Edwin Dalmaijer |
| Publisher | : Taylor & Francis |
| Total Pages | : 229 |
| Release | : 2016-11-03 |
| Genre | : Psychology |
| ISBN | : 1317206444 |
Download Python for Experimental Psychologists Book in PDF, ePub and Kindle
Programming is an important part of experimental psychology and cognitive neuroscience, and Python is an ideal language for novices. It sports a very readable syntax, intuitive variable management, and a very large body of functionality that ranges from simple arithmetic to complex computing. Python for Experimental Psychologists provides researchers without prior programming experience with the knowledge they need to independently script experiments and analyses in Python. The skills it offers include: how to display stimuli on a computer screen; how to get input from peripherals (e.g. keyboard, mouse) and specialised equipment (e.g. eye trackers); how to log data; and how to control timing. In addition, it shows readers the basic principles of data analysis applied to behavioural data, and the more advanced techniques required to analyse trace data (e.g. pupil size) and gaze data. Written informally and accessibly, the book deliberately focuses on the parts of Python that are relevant to experimental psychologists and cognitive neuroscientists. It is also supported by a companion website where you will find colour versions of the figures, along with example stimuli, datasets and scripts, and a portable Windows installation of Python.
| Author | : Marcus Aurelius |
| Publisher | : |
| Total Pages | : 232 |
| Release | : 2019-10-23 |
| Genre | : |
| ISBN | : 9781701915374 |
Download Meditations : ANNOTATED Book in PDF, ePub and Kindle
Meditations (Medieval Greek: Τὰ εἰς ἑαυτόν, romanized: Ta eis heauton, literally "things to one's self") is a series of personal writings by Marcus Aurelius, Roman Emperor from 161 to 180 AD, recording his private notes to himself and ideas on Stoic philosophy. Marcus Aurelius wrote the 12 books of the Meditations in Koine Greek as a source for his own guidance and self-improvement. It is possible that large portions of the work were written at Sirmium, where he spent much time planning military campaigns from 170 to 180. Some of it was written while he was positioned at Aquincum on campaign in Pannonia, because internal notes tell us that the first book was written when he was campaigning against the Quadi on the river Granova (modern-day Hron) and the second book was written at Carnuntum.It is unlikely that Marcus Aurelius ever intended the writings to be published and the work has no official title, so "Meditations" is one of several titles commonly assigned to the collection. These writings take the form of quotations varying in length from one sentence to long paragraphs.
