publication . Article . Preprint . Other literature type . Conference object . 2019

A new comprehensive Eye-Tracking Test Battery concurrently evaluating the Pupil Labs Glasses and the EyeLink 1000

Benedikt V. Ehinger; Inga Ibs; Katharina Groß; Peter König;
Open Access
  • Published: 03 Feb 2019 Journal: PeerJ, volume 7 (issn: 2167-8359, Copyright policy)
  • Country: Netherlands
Abstract
<jats:title>ABSTRACT</jats:title><jats:p>Eye-tracking experiments rely heavily on good data quality of eye-trackers. Unfortunately, it is often that only the spatial accuracy and precision values are available from the manufacturers. These two values alone are not sufficient enough to serve as a benchmark for an eye-tracker: Eye-tracking quality deteriorates during an experimental session due to head movements, changing illumination or calibration decay. Additionally, different experimental paradigms require the analysis of different types of eye movements, for instance smooth pursuit movements, blinks or microsaccades, which themselves cannot readily be evaluat...
Subjects
free text keywords: Neuroscience, Psychiatry and Psychology, Pupil dilation, Microsaccades, Blinks, Eye-tracker benchmark, Accuracy and precision, Head movements, EyeLink 1000, Pupil Labs glasses, Calibration decay, Medicine, R, General Biochemistry, Genetics and Molecular Biology, General Neuroscience, General Agricultural and Biological Sciences, General Medicine, Saccade, Computer science, Eye movement, Microsaccade, Pupillary response, Eye tracking, Smooth pursuit, Fixation (psychology), Computer vision, Pupil, Artificial intelligence, business.industry, business
Funded by
EC| socSMCs
Project
socSMCs
Socialising Sensori-Motor Contingencies
  • Funder: European Commission (EC)
  • Project Code: 641321
  • Funding stream: H2020 | RIA
Communities
FET H2020FET PROACT: Knowing, doing, being: cognition beyond problem solving
FET H2020FET PROACT: Socialising Sensori-Motor Contingencies
NARCIS
Article . 2019
Provider: NARCIS
PeerJ
Article
Provider: UnpayWall
PeerJ
Article . 2019
Provider: Crossref
86 references, page 1 of 6

Açık, A, Sarwary, A, Schultze-Kraft, R, Onat, S, König, P. Developmental changes in natural viewing behavior: bottom-up and top-down differences between children, young adults and older adults. Frontiers in Psychology. 2010; 1: 207 [OpenAIRE] [PubMed] [DOI]

Andersson, R, Larsson, L, Holmqvist, K, Stridh, M, Nyström, M. One algorithm to rule them all? An evaluation and discussion of ten eye movement event-detection algorithms. Behavior Research Methods. 2017; 49 (2): 616-637 [OpenAIRE] [PubMed] [DOI]

Backhaus, D. Mobiles eye-tracking vergleichende evaluation einer mobilen eye-tracking Brille. 2016

Barsingerhorn, AD. Beyond visual acuity: development of visual processing speed and quantitative assessment of visual impairment in children. 2018 [OpenAIRE]

Barsingerhorn, AD, Boonstra, FN, Goossens, J. Development and validation of a high-speed stereoscopic eyetracker. Behavior Research Methods. 2018; 50 (6): 2480-2497 [OpenAIRE] [PubMed] [DOI]

Baumeister, AA, Joubert, CE. Interactive effects on reaction time of preparatory interval length and preparatory interval frequency. Journal of Experimental Psychology. 1969; 82 (2): 393-395 [OpenAIRE] [DOI]

Bellet, ME, Bellet, J, Nienborg, H, Hafed, ZM, Berens, P. Human-level saccade detection performance using deep neural networks. Journal of Neurophysiology. 2018; 121 (2): 646-661 [OpenAIRE] [PubMed] [DOI]

Benedetto, S, Pedrotti, M, Minin, L, Baccino, T, Re, A, Montanari, R. Driver workload and eye blink duration. Transportation Research Part F: Traffic Psychology and Behaviour. 2011; 14 (3): 199-208 [OpenAIRE] [DOI]

Blignaut, P, Wium, D. Eye-tracking data quality as affected by ethnicity and experimental design. Behavior Research Methods. 2014; 46 (1): 67-80 [OpenAIRE] [PubMed] [DOI]

Brainard, DH. The psychophysics toolbox. Spatial Vision. 1997; 10 (4): 433-436 [OpenAIRE] [PubMed] [DOI]

Brisson, J, Mainville, M, Mailloux, D, Beaulieu, C, Serres, J, Sirois, S. Pupil diameter measurement errors as a function of gaze direction in corneal reflection eyetrackers. Behavior Research Methods. 2013; 45 (4): 1322-1331 [OpenAIRE] [PubMed] [DOI]

Burr, D. Vision: in the blink of an eye. Current Biology. 2005; 15 (14): R554-R556 [OpenAIRE] [PubMed] [DOI]

Cesqui, B, De Langenberg, RV, Lacquaniti, F, d’Avella, A. A novel method for measuring gaze orientation in space in unrestrained head conditions. Journal of Vision. 2013; 13 (8): 28 [OpenAIRE] [DOI]

Cludius, B, Wenzlaff, F, Briken, P, Wittekind, CE. Attentional biases of vigilance and maintenance in obsessive-compulsive disorder: an eye-tracking study. Journal of Obsessive-Compulsive and Related Disorders. 2017; 20: 30-38 [OpenAIRE] [DOI]

Cornelissen, FW, Peters, EM, Palmer, J. The eyelink toolbox: eye tracking with MATLAB and the psychophysics toolbox. Behavior Research Methods, Instruments, & Computers. 2002; 34 (4): 613-617 [OpenAIRE] [DOI]

86 references, page 1 of 6
Abstract
<jats:title>ABSTRACT</jats:title><jats:p>Eye-tracking experiments rely heavily on good data quality of eye-trackers. Unfortunately, it is often that only the spatial accuracy and precision values are available from the manufacturers. These two values alone are not sufficient enough to serve as a benchmark for an eye-tracker: Eye-tracking quality deteriorates during an experimental session due to head movements, changing illumination or calibration decay. Additionally, different experimental paradigms require the analysis of different types of eye movements, for instance smooth pursuit movements, blinks or microsaccades, which themselves cannot readily be evaluat...
Subjects
free text keywords: Neuroscience, Psychiatry and Psychology, Pupil dilation, Microsaccades, Blinks, Eye-tracker benchmark, Accuracy and precision, Head movements, EyeLink 1000, Pupil Labs glasses, Calibration decay, Medicine, R, General Biochemistry, Genetics and Molecular Biology, General Neuroscience, General Agricultural and Biological Sciences, General Medicine, Saccade, Computer science, Eye movement, Microsaccade, Pupillary response, Eye tracking, Smooth pursuit, Fixation (psychology), Computer vision, Pupil, Artificial intelligence, business.industry, business
Funded by
EC| socSMCs
Project
socSMCs
Socialising Sensori-Motor Contingencies
  • Funder: European Commission (EC)
  • Project Code: 641321
  • Funding stream: H2020 | RIA
Communities
FET H2020FET PROACT: Knowing, doing, being: cognition beyond problem solving
FET H2020FET PROACT: Socialising Sensori-Motor Contingencies
NARCIS
Article . 2019
Provider: NARCIS
PeerJ
Article
Provider: UnpayWall
PeerJ
Article . 2019
Provider: Crossref
86 references, page 1 of 6

Açık, A, Sarwary, A, Schultze-Kraft, R, Onat, S, König, P. Developmental changes in natural viewing behavior: bottom-up and top-down differences between children, young adults and older adults. Frontiers in Psychology. 2010; 1: 207 [OpenAIRE] [PubMed] [DOI]

Andersson, R, Larsson, L, Holmqvist, K, Stridh, M, Nyström, M. One algorithm to rule them all? An evaluation and discussion of ten eye movement event-detection algorithms. Behavior Research Methods. 2017; 49 (2): 616-637 [OpenAIRE] [PubMed] [DOI]

Backhaus, D. Mobiles eye-tracking vergleichende evaluation einer mobilen eye-tracking Brille. 2016

Barsingerhorn, AD. Beyond visual acuity: development of visual processing speed and quantitative assessment of visual impairment in children. 2018 [OpenAIRE]

Barsingerhorn, AD, Boonstra, FN, Goossens, J. Development and validation of a high-speed stereoscopic eyetracker. Behavior Research Methods. 2018; 50 (6): 2480-2497 [OpenAIRE] [PubMed] [DOI]

Baumeister, AA, Joubert, CE. Interactive effects on reaction time of preparatory interval length and preparatory interval frequency. Journal of Experimental Psychology. 1969; 82 (2): 393-395 [OpenAIRE] [DOI]

Bellet, ME, Bellet, J, Nienborg, H, Hafed, ZM, Berens, P. Human-level saccade detection performance using deep neural networks. Journal of Neurophysiology. 2018; 121 (2): 646-661 [OpenAIRE] [PubMed] [DOI]

Benedetto, S, Pedrotti, M, Minin, L, Baccino, T, Re, A, Montanari, R. Driver workload and eye blink duration. Transportation Research Part F: Traffic Psychology and Behaviour. 2011; 14 (3): 199-208 [OpenAIRE] [DOI]

Blignaut, P, Wium, D. Eye-tracking data quality as affected by ethnicity and experimental design. Behavior Research Methods. 2014; 46 (1): 67-80 [OpenAIRE] [PubMed] [DOI]

Brainard, DH. The psychophysics toolbox. Spatial Vision. 1997; 10 (4): 433-436 [OpenAIRE] [PubMed] [DOI]

Brisson, J, Mainville, M, Mailloux, D, Beaulieu, C, Serres, J, Sirois, S. Pupil diameter measurement errors as a function of gaze direction in corneal reflection eyetrackers. Behavior Research Methods. 2013; 45 (4): 1322-1331 [OpenAIRE] [PubMed] [DOI]

Burr, D. Vision: in the blink of an eye. Current Biology. 2005; 15 (14): R554-R556 [OpenAIRE] [PubMed] [DOI]

Cesqui, B, De Langenberg, RV, Lacquaniti, F, d’Avella, A. A novel method for measuring gaze orientation in space in unrestrained head conditions. Journal of Vision. 2013; 13 (8): 28 [OpenAIRE] [DOI]

Cludius, B, Wenzlaff, F, Briken, P, Wittekind, CE. Attentional biases of vigilance and maintenance in obsessive-compulsive disorder: an eye-tracking study. Journal of Obsessive-Compulsive and Related Disorders. 2017; 20: 30-38 [OpenAIRE] [DOI]

Cornelissen, FW, Peters, EM, Palmer, J. The eyelink toolbox: eye tracking with MATLAB and the psychophysics toolbox. Behavior Research Methods, Instruments, & Computers. 2002; 34 (4): 613-617 [OpenAIRE] [DOI]

86 references, page 1 of 6
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