175 research outputs found

    OpenSesame opens the door to open-source and user-friendly eye-tracking research.

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    <p>Dalmaijer, E.S., Van der Stigchel, S., Linden, L. van der, Kruijne, W., Schreij, D. & Mathôt, S. (2013). OpenSesame opens the door to open-source and user-friendly eye-tracking research. In K. Holmqvist, F. Mulvey & R. Johansson (Eds.), Journal of Eye Movement Research, 6, p. 547. Lund, Sweden, ECEM.</p

    Life is unfair, and so is speed skating: Some athletes can randomly benefit from alerting effects due to inconsistent starting procedures

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    Dalmaijer, E.S., Nijenhuis, B.G., & Van der Stigchel, S. (2015, December). Life is unfair, and so is speed skating: Some athletes can randomly benefit from alerting effects due to inconsistent starting procedures. Poster presented at the annual meeting of the Dutch Psychonomic Society (NVP), Egmond aan Zee, Netherlands.<br

    Navigation Towards a Goal Alongside Artificial Agents to Demonstrate Cumulative Culture

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    The methods used in this study embrace a computational modelling approach to CCE. Broadly, this study aims to explore if humans use low-fidelity transmission mechanisms to achieve CCE in an optimization problem. Then, a minimal model of an emergent low-fidelity transmission mechanism found by Dalmaijer (2022) in artificial agents will be fit to participant data. In this way, it is possible to outline the specific parameters required for low-fidelity transmission to occur in humans for CCE to be achieved

    Navigation Towards a Goal Alongside Artificial Agents to Demonstrate Cumulative Culture

    No full text
    The methods used in this study embrace a computational modelling approach to CCE. Broadly, this study aims to explore if humans use low-fidelity transmission mechanisms to achieve CCE in an optimization problem. Then, a minimal model of an emergent low-fidelity transmission mechanism found by Dalmaijer (2022) in artificial agents will be fit to participant data. In this way, it is possible to outline the specific parameters required for low-fidelity transmission to occur in humans for CCE to be achieved

    Navigation Towards a Goal to Demonstrate a Minimal Mechanism of Cumulative Culture

    No full text
    The methods used in this study embrace a computational modelling approach to CCE. Broadly, this study aims to explore if humans use low-fidelity transmission mechanisms to achieve CCE in an optimization problem. Then, a minimal model of an emergent low-fidelity transmission mechanism found by Dalmaijer (2022) in artificial agents will be fit to participant data. In this way, it is possible to outline the specific parameters required for low-fidelity transmission to occur in humans for CCE to be achieved

    Beyond the Vestibulo-Ocular Reflex: Vestibular Input is Processed Centrally to Achieve Visual Stability

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    The current study presents a re-analysis of data from Zink et al. (1998, Electroencephalography and Clinical Neurophysiology, 107), who administered galvanic vestibular stimulation through unipolar direct current. They placed electrodes on each mastoid and applied either right or left anodal stimulation. Ocular torsion and visual tilt were measured under different stimulation intensities. New modelling introduced here demonstrates that directly proportional linear models fit reasonably well with the relationship between vestibular input and visual tilt, but not to that between vestibular input and ocular torsion. Instead, an exponential model characterised by a decreasing slope and an asymptote fitted best. These results demonstrate that in the results presented by Zink et al. (1998), ocular torsion could not completely account for visual tilt. This suggests that vestibular input is processed centrally to stabilise vision when ocular torsion is insufficient. Potential mechanisms and seemingly conflicting literature are discussed

    Python for experimental psychologists

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    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.</p

    Easy as Py: Eye Tracking with OpenSesame and PyGaze

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    <p>Mathôt S, van der Linden, L., Ort, E., Schreij, D., Van der Stigchel, S., & Dalmaijer, E. (2015, Aug). <em>Easy as Py: Eye Tracking with OpenSesame and PyGaze.</em> Poster presented at the 18th European Conference on Eye Movements, Vienna, Austria.</p
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