GazeMetrics: An Open-Source Tool for Measuring the Data Quality of HMD-based Eye Trackers

Adhanom, Isayas Berhe; Lee, Samantha C.; Folmer, Eelke; MacNeilage, Paul R.

doi:10.1145/3379156.3391374

Cited by 16 publications

(12 citation statements)

References 12 publications

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“…Spatial Accuracy: Table 1 shows that the most popular HMD-based eye trackers report accuracy values between 0.5 • and 1.1 • . However, manufacturer reported specifications could be misleading, as these metrics are often measured under ideal conditions and do not reflect the accuracy under realistic usage scenarios (Adhanom et al 2020a).…”

Section: Eye Tracking Data Qualitymentioning

confidence: 99%

Eye Tracking in Virtual Reality: a Broad Review of Applications and Challenges

2023

Self Cite

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Eye tracking is becoming increasingly available in head-mounted virtual reality displays with various headsets with integrated eye trackers already commercially available. The applications of eye tracking in virtual reality are highly diversified and span multiple disciplines. As a result, the number of peer-reviewed publications that study eye tracking applications has surged in recent years. We performed a broad review to comprehensively search academic literature databases with the aim of assessing the extent of published research dealing with applications of eye tracking in virtual reality, and highlighting challenges, limitations and areas for future research.

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Section: Eye Tracking Data Qualitymentioning

confidence: 99%

Eye Tracking in Virtual Reality: a Broad Review of Applications and Challenges

2023

Self Cite

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“…At the start of each block, participants calibrated the eye tracker via the standard Vive Pro Eye 5-point calibration process. Participants then performed a second calibration procedure using the GazeMetrics toolkit [3] to record eye-tracking data for the Error Detection Model. Participants were instructed to fixate on 9 calibration points, one for each grid cell in the detection model.…”

Section: Task and Proceduresmentioning

confidence: 99%

Weighted Pointer: Error-aware Gaze-based Interaction through Fallback Modalities

Sidenmark

Parent

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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Fig. 1. The Weighted Pointer provides stable gaze-based pointing interaction irrespective of gaze signal quality via fallback modalities.The techniques detect the eye tracking error level and determines the relative weighting to assign between gaze and the fallback modality. A: The pointer direction (red) is aligned with gaze (orange) when the gaze signal is stable. B: The pointer relies on both gaze and the fallback modality (e.g., head direction, green) if the gaze signal deteriorates. C: The pointer fully relies on the fallback modality if gaze is deemed to be unusable for interaction.

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“…In recent years, eye tracking has been widely used as a research tool in many fields [32,33]. By tracking the user's fixation and analyzing eye movements and pupil size, his/her cognitive state can be studied, such as attention pattern and learning preferences [34,35].…”

Section: Eye Movement Analysismentioning

confidence: 99%

Eye Movement Analysis and Usability Assessment on Affective Computing Combined with Intelligent Tutoring System

Lin

Liao

Wang³

2022

Sustainability

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Education is the key to achieving sustainable development goals in the future, and quality education is the basis for improving the quality of human life and achieving sustainable development. In addition to quality education, emotions are an important factor to knowledge acquisition and skill training. Affective computing makes computers more humane and intelligent, and good emotional performance can create successful learning. In this study, affective computing is combined with an intelligent tutoring system to achieve relevant and effective learning results through affective intelligent learning. The system aims to change negative emotions into positive ones of learning to improve students’ interest in learning. With a total of 30 participants, this study adopts quantitative research design to explore the learning situations. We adopt the System Usability Scale (SUS) to evaluate overall availability of the system and use the Scan Path to explore if the subject stays longer in learning the course. This study found that both availability and satisfaction of affective tutoring system are high. The emotional feedback mechanism of the system can help users in transforming negative emotions into positive ones. In addition, the system is able to increase the learning duration the user spends on learning the course as well.

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GazeMetrics: An Open-Source Tool for Measuring the Data Quality of HMD-based Eye Trackers

Cited by 16 publications

References 12 publications

Eye Tracking in Virtual Reality: a Broad Review of Applications and Challenges

Eye Tracking in Virtual Reality: a Broad Review of Applications and Challenges

Weighted Pointer: Error-aware Gaze-based Interaction through Fallback Modalities

Eye Movement Analysis and Usability Assessment on Affective Computing Combined with Intelligent Tutoring System

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