SimplePhy: An open-source tool for quick online perception experiments

被引:0
|
作者
Miguel A. Lago
机构
[1] University of California,
来源
Behavior Research Methods | 2021年 / 53卷
关键词
Online; Perception; Psychophysics; Experiment; Open-source;
D O I
暂无
中图分类号
学科分类号
摘要
Because of the COVID-19 pandemic, researchers are facing unprecedented challenges that affect our ability to run in-person experiments. With mandated social distancing in a controlled laboratory environment, many researchers are searching for alternative options to conduct research, such as online experimentation. However, online experimentation comes at a cost; learning online tools for building and publishing psychophysics experiments can be complicated and time-consuming. This learning cost is unfortunate because researchers typically only need to use a small percentage of these tools’ capabilities, but they still have to deal with these systems’ complexities (e.g., complex graphical user interfaces or difficult programming languages). Furthermore, after the experiment is built, researchers often have to find an online platform compatible with the tool they used to program the experiment. To simplify and streamline the online process of programming and hosting an experiment, I have created SimplePhy. SimplePhy can save researchers’ time and energy by allowing them to create a study in just a few clicks. All researchers have to do is select among a few experiment settings and upload the stimuli. SimplePhy is able to run most psychophysical perception experiments that require mouse clicks and button presses. In addition to collecting online behavioral data, SimplePhy can also collect information regarding the estimated viewing distance between the participant and the monitor, the screen size, and the experimental trial’s timing—features not always offered in other online platforms. Overall, SimplePhy is a simple, free, open-source tool (code can be found here: https://gitlab.com/malago/simplephy) aimed to help labs conduct their experiments online.
引用
收藏
页码:1669 / 1676
页数:7
相关论文
共 50 条
  • [41] Open-Source Text-to-Image Models: Evaluation using Metrics and Human Perception
    Yamac, Aylin
    Genc, Dilan
    Zaman, Esra
    Gerschner, Felix
    Klaiber, Marco
    Theissler, Andreas
    2024 IEEE 48TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC 2024, 2024, : 1659 - 1664
  • [42] Music for the Jilted Generation: Open-Source Public Diplomacy
    Fisher, Ali
    HAGUE JOURNAL OF DIPLOMACY, 2008, 3 (02) : 129 - 152
  • [43] Collective Development in Open-Source Communities: An Activity Theoretical Perspective on Successful Online Collaboration
    Hemetsberger, Andrea
    Reinhardt, Christian
    ORGANIZATION STUDIES, 2009, 30 (09) : 987 - 1008
  • [44] CONCEPT FOR ONLINE WEB MACHINE TOOL CONTROL BASED ON OPEN SOURCE
    Radelja, H.
    Haskovic, D.
    Sikulec, L.
    Plancak, M.
    Krsulja, M.
    Car, Z.
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE OF DAAAM BALTIC INDUSTRIAL ENGINEERING, VOLS 1 AND 2, 2012, : 216 - 221
  • [45] Open source online electrochemical impedance spectroscopy data analytics tool
    Bloemeke, Alexander
    Kappelhoff, Ole
    Wasylowski, David
    Ringbeck, Florian
    Sauer, Dirk Uwe
    JOURNAL OF POWER SOURCES, 2024, 615
  • [46] Ad-Hoc Routing Protocols Comparison Using Open-Source Simulation Tool
    Sochor, Tomas
    Gatek, Tomas
    SOFTWARE ENGINEERING PERSPECTIVES AND APPLICATION IN INTELLIGENT SYSTEMS, VOL 2, 2016, 465 : 425 - 433
  • [47] OPENWALNUT: AN OPEN-SOURCE TOOL FOR VISUALIZATION OF MEDICAL AND BIO-SIGNAL DATA.
    Eichelbaum, Sebastian
    Hlawitschka, Mario
    Scheuermann, Gerik
    BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK, 2013, 58
  • [48] The Smart Skeleton: an open-source, interactive tool for teaching muscle actions and joint movements
    Pattillo, John M.
    ADVANCES IN PHYSIOLOGY EDUCATION, 2021, 45 (02) : 327 - 332
  • [49] An Open-Source Tool-set for Meaningful Monitoring and Visualisation of Rural ICT Projects
    Gush, Kim
    2018 IST-AFRICA WEEK CONFERENCE (IST-AFRICA), 2018,
  • [50] Open-source Tool of Vector Map for Path Planning in Autoware Autonomous Driving Software
    Tun, Wai Nwe
    Kim, Sangho
    Lee, Jae-Woo
    Darweesh, Hatem
    2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP), 2019, : 675 - 677