Key result
The Gazepoint GP3-HD eye-tracker and Biometrics system demonstrated accuracy and precision comparable to competing systems, with moderate-to-strong correlations to the established BIOPAC MP160 for physiological recordings.
Why the study?
New low-cost eye-tracking and physiological recording technologies require investigation of their reliability and validation in real-world usage and against established technologies.
The Gazepoint low-cost eye-tracking and psychophysiology bundle shows comparable accuracy to competing systems and moderate-to-strong correlations with established physiological recording devices, though with some limitations in sampling rate and signal amplitude.
Provides practical guidance for selecting eye-tracking tools; leaves open optimal standardization and validation across options.
Eye-tracking and recording of physiological signals are increasingly used in research within cognitive science and human-computer interaction. For example, gaze position and measures of autonomic arousal, including pupil dilation, skin conductance (SC), and heart rate (HR), provide an indicator of cognitive and physiological processes. The growing popularity of these techniques is partially driven by the emergence of low-cost recording equipment and the proliferation of open-source software for data collection and analysis of such signals. However, the use of new technology requires investigation of its reliability and validation with respect to real-world usage and against established technologies. Accordingly, in two experiments (total N = 69), we assessed the Gazepoint GP3-HD eye-tracker and Gazepoint Biometrics (GPB) system from Gazepoint. We show that the accuracy, precision, and robustness of the eye-tracker are comparable to competing systems. While fixation and saccade events can be reliably extracted, the study of saccade kinematics is affected by the low sampling rate. The GP3-HD is also able to capture psychological effects on pupil dilation in addition to the well-defined pupillary light reflex. Finally, moderate-to-strong correlations between physiological recordings and derived metrics of SC and HR between the GPB and the well-established BIOPAC MP160 support its validity. However, low amplitude of the SC signal obtained from the GPB may reduce sensitivity when separating phasic and tonic components. Similarly, data loss in pulse monitoring may pose difficulties for certain HR variability analyses.
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Cuve et al. (2021) studied Healthy volunteers and individuals with autism (n=69). Gazepoint GP3-HD and Biometrics system vs. BIOPAC MP160 was evaluated on Accuracy, precision, and physiological signal validity. The Gazepoint GP3-HD eye-tracker and Biometrics system demonstrated accuracy and precision comparable to competing systems, with moderate-to-strong correlations to the established BIOPAC MP160 for physiological recordings.
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