PESAO: Psychophysical Experimental Setup for Active Observers
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Abstract (arXiv)
Most past and present research in computer vision involves passively observed data. Humans, however, are active observers outside the lab; they explore, search, select what and how to look. Nonetheless, how exactly active observation occurs in humans so that it can inform the design of active computer vision systems is an open problem. PESAO is designed for investigating active, visual observation in a 3D world. The goal was to build an experimental setup for various active perception tasks with human subjects (active observers) in mind that is capable of tracking the head and gaze. While many studies explore human performances, usually, they use line drawings portrayed in 2D, and no active observer is involved. PESAO allows us to bring many studies to the three-dimensional world, even involving active observers. In our instantiation, it spans an area of 400cm x 300cm and can track active observers at a frequency of 120Hz. Furthermore, PESAO provides tracking and recording of 6D head motion, gaze, eye movement-type, first-person video, head-mounted IMU sensor, birds-eye video, and experimenter notes. All are synchronized at microsecond resolution.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 15 Sep 2020.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 1; 2024: 0; 2025: 1.
4 papers.
- 2023The Psychophysics of Human Three-Dimensional Active Visuospatial Problem-Solvingcited by 2
- 2021On the Control of Attentional Processes in Visioncited by 1
- 2021Active Observer Visual Problem-Solving Methods are Dynamically Hypothesized, Deployed and Testedcited by 0
- 2025Boosting Reinforcement Learning in 3D Visuospatial Tasks Through Human-Informed Curriculum Designcited by 0
- 2025Boosting Reinforcement Learning in 3D Visuospatial Tasks Through Human-Informed Curriculum Design17 Nov 2025
- 2023The Psychophysics of Human Three-Dimensional Active Visuospatial Problem-Solving19 Jun 2023
- 2021Active Observer Visual Problem-Solving Methods are Dynamically Hypothesized, Deployed and Tested18 Aug 2021
- 2021On the Control of Attentional Processes in Vision5 Jan 2021