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Researchers can use Holos, a new collaborative platform, to design and conduct similarity-based experiments with various stimuli. Holos captures real-time cognitive processes through digit-tracking data for advanced analysis.

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Area of Science:

  • Cognitive Science
  • Human-Computer Interaction
  • Psychology

Background:

  • Traditional similarity assessment tasks often lack real-time cognitive process data.
  • Existing platforms may not support diverse stimuli types or collaborative resource sharing.

Purpose of the Study:

  • Introduce Holos, a novel collaborative research environment for similarity assessment experiments.
  • Enable real-time capture and analysis of cognitive processes during tasks.
  • Facilitate resource sharing among researchers.

Main Methods:

  • Holos platform allows experiment design with concepts, images, sounds, and videos.
  • Subjects use a tablet interface to drag and position stimuli icons, generating digit-tracking data.
  • Data analysis is supported by the SensoMineR package.

Main Results:

  • Holos provides a framework for designing diverse similarity-based experiments.
  • Digit-tracking data captures fine-grained cognitive processes during stimulus perception.
  • The platform supports collaborative research through resource sharing.

Conclusions:

  • Holos offers a powerful, flexible, and collaborative environment for cognitive research.
  • It enhances the understanding of cognitive processes by analyzing real-time interaction data.
  • The platform promotes scientific collaboration and data sharing.