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Related Concept Videos

Self-Report Tests of Personality01:22

Self-Report Tests of Personality

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Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
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Related Experiment Video

Updated: Dec 6, 2025

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StimuliApp: Psychophysical tests on mobile devices.

Rafael Marin-Campos1, Josep Dalmau2,3,4,5,6, Albert Compte2

  • 1Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain. marinraf@gmail.com.

Behavior Research Methods
|October 10, 2020
PubMed
Summary
This summary is machine-generated.

StimuliApp enables creating psychophysical tests on mobile devices like iPads and iPhones. This open-source application offers diverse stimuli templates and high timing performance for mobile psychophysical research.

Keywords:
MobileOpen source softwarePsychophysicsSmartphoneStimuliTablet

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Area of Science:

  • Cognitive Psychology
  • Human-Computer Interaction
  • Neuroscience

Background:

  • Psychophysical testing traditionally relies on desktop software.
  • Mobile devices offer potential advantages for conducting tests in diverse settings.
  • Existing mobile solutions may lack flexibility or performance.

Purpose of the Study:

  • To introduce StimuliApp, an open-source application for creating and running psychophysical tests on iOS devices.
  • To provide a flexible and high-performance platform for mobile psychophysics.
  • To facilitate the use of smartphones and tablets for experimental psychology.

Main Methods:

  • Development of StimuliApp as a native application for iPadOS and iOS.
  • Utilization of the Metal graphics API for high-performance stimulus presentation.
  • Implementation of a menu-driven system for test creation.
  • Inclusion of diverse stimulus templates (visual, auditory) and file support (images, video, audio).

Main Results:

  • StimuliApp allows users to design psychophysical tests via an intuitive menu system.
  • The application supports a wide array of visual and auditory stimuli, including custom files.
  • Native development with Metal ensures high timing precision, crucial for psychophysical measurements.
  • The open-source nature promotes accessibility and further development.

Conclusions:

  • StimuliApp offers a powerful, flexible, and high-performance solution for mobile psychophysical testing.
  • The application democratizes access to sophisticated experimental tools for researchers.
  • Its native iOS/iPadOS implementation with Metal provides reliable and precise stimulus delivery.