2015
DOI: 10.1007/978-3-662-48645-0_10
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Real-Time Feedback Towards Voluntary Pupil Control in Human-Computer Interaction: Enabling Continuous Pupillary Feedback

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Cited by 4 publications
(3 citation statements)
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“…All trials with cumulated blink duration longer than 200 ms were excluded from further analyses. Blinks shorter than 200 ms were interpolated using a modified algorithm based on Georgi, Kowalski, Ehlers, and Huckauf (2014). This procedure was chosen instead of treating blinks as missing data to preclude potential artifacts resulting from differential blink frequencies across experimental conditions.…”
Section: Discussionmentioning
confidence: 99%
“…All trials with cumulated blink duration longer than 200 ms were excluded from further analyses. Blinks shorter than 200 ms were interpolated using a modified algorithm based on Georgi, Kowalski, Ehlers, and Huckauf (2014). This procedure was chosen instead of treating blinks as missing data to preclude potential artifacts resulting from differential blink frequencies across experimental conditions.…”
Section: Discussionmentioning
confidence: 99%
“…Actual pupil diameter was visualized as a red circle. To reject blink artifacts, real-time data filtering was applied according to the approach validated in Ehlers et al [23] and Georgi et al [25]. Thereby, specifications of Bremner [26] are converted to the current sampling rate of 60 Hz, leading to an allowable sample-to-sample change of 0.09 mm.…”
Section: Methodsmentioning
confidence: 99%
“…Pupil size data were measured throughout the experiment. Blinks and artifacts in the pupil data were filtered out and missing data were interpolated as described in Georgi et al (2014). Pupil data were downsampled to 50 Hz for all further analyses.…”
Section: Data Preparationmentioning
confidence: 99%