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Depth Perception and Spatial Vision

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.

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Connect Brain, a Mobile App for Studying Depth Perception in Angiography Visualization: Gamification Study.

Andrey Titov^1,2, Simon Drouin¹, Marta Kersten-Oertel²

¹Software and Information Technology Engineering Department École de Technologie Supérieure Montreal, QC Canada.

JMIR Neurotechnology

|December 4, 2025

Summary

This summary is machine-generated.

Gamification in medical imaging studies offers a viable alternative to traditional methods. This mobile game approach successfully gathered extensive data, yielding results comparable to in-laboratory evaluations for visualization techniques.

Keywords:

angiography depth cues gamification medical image visualization mobile games mobile phone volume visualization

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Area of Science:

Medical Imaging Visualization
Human-Computer Interaction
Gamification in Research

Background:

Volunteer recruitment is a significant challenge in visualization research.
Mobile devices and gamification offer new possibilities for conducting medical imaging studies.
Volume rendering on mobile platforms enables complex visualization research.

Purpose of the Study:

To describe a gamified study comparing cerebrovascular visualization techniques.
To evaluate the validity of gamification for medical imaging user studies.

Main Methods:

Developed a mobile game, Connect Brain, for Android and iOS.
Included two mini-games focused on vessel depth perception and connectivity.
Collected data from 111 participants across 5267 and 1810 task instances.

Main Results:

Gamification facilitated the collection of large datasets.
Results on visualization technique effectiveness were consistent with smaller lab studies.
The study demonstrated the feasibility of large-scale data collection via gamification.

Conclusions:

Gamification is a valid and advantageous paradigm for medical imaging user studies.
It overcomes limitations of traditional in-laboratory volunteer recruitment.
This approach enables more robust evaluation of visualization methods.