Sympathetic and parasympathetic innervation of pupillary dilation during sustained processing

Steinhauer, Stuart R.; Siegle, Greg J.; Condray, Ruth; Pless, Misha

doi:10.1016/j.ijpsycho.2003.12.005

Cited by 400 publications

(367 citation statements)

References 16 publications

Supporting

Mentioning

339

Contrasting

Unclassified

Order By: Relevance

“…Our new methodology employs eye tracking-based pupillometry-a well-established approach in physiology (Loewenfeld, 1999;Steinhauer et al, 2004) and psychology (Goldinger & Papesh, 2012;Laeng et al, 2012) for "widening the 'window' of data collection" (Goldinger & Papesh, 2012, p. 93). Through our method, one can use bio-data (i.e., pupil diameter) to better understand mental effort as an IS construct (vom Brocke & Liang, 2014, guideline 4).…”

Section: Applying the Neurois Guidelinesmentioning

confidence: 99%

“…Eye tracking-based pupillometry provides such a direct measure of mental effort that is well established in psychology (Goldinger & Papesh, 2012), physiology (Loewenfeld, 1999;Steinhauer, Siegle, Condray, & Pless, 2004), marketing research (Wang & Minor, 2008), and other social sciences (Webb, Campbell, Schwartz, & Sechrest, 2000) and that participants cannot voluntarily control or manipulate (Laeng, Sirois, & Gredebäck, 2012). Thus, we contribute to IS research by being the first to propose a method to predict user performance based on a non-invasive, contact-free, and cost-efficient real-time measurement of instantaneous mental effort using eye-tracking devices.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Real-time Prediction of User Performance based on Pupillary Assessment via Eye-Tracking

Buettner¹,

Sauer²,

Maier³

et al. 2018

THCI

View full text Add to dashboard Cite

Abstract:We propose a method to predict user performance based on eye-tracking. The method uses eye-tracking-based pupillometry to capture pupil diameter data and calculates-based on a Random Forest algorithm-user performance expectations. We conducted a large-scale experimental evaluation (125 participants aged from 21 to 61 years) and found promising results that pave the way for a dynamic real-time adaption of IT to a user's mental effort and expected user performance. We have already achieved a good classification accuracy of user performance after only 40 seconds (5% of the mean total trial time that our participants took to complete our experiment). The non-invasive contact-free method can be applied cost-efficiently both in research and practical environments.

show abstract

Section: Applying the Neurois Guidelinesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Real-time Prediction of User Performance based on Pupillary Assessment via Eye-Tracking

Buettner¹,

Sauer²,

Maier³

et al. 2018

THCI

View full text Add to dashboard Cite

show abstract

“…The diameter of this circular aperture is under the control of the ANS through two sets of muscles. The sympathetic ANS branch, mediated by the posterior hypothalamic nuclei, produces enlargement of the pupil by direct stimulation of the dilator muscles, which causes them to contract [5].…”

Section: Introductionmentioning

confidence: 99%

“…More recently, Steinhauer et al confirmed that pupil size is associated with the level of difficulty of a task performed by experimental subjects. Using alternate pharmacological blockades of sympathetic and parasympathetic effects on the pupil, they were able to characterize and differentiate the contributions of the two ANS divisions to the control of pupil diameter [5].…”

Section: Introductionmentioning

confidence: 99%

Detection of Sympathetic Activation through Measurement and Adaptive Processing of the Pupil Diameter for Affective Assessment of Computer Users

Gao¹,

Barreto²,

Adjouadi³

2009

Am. J. Biomed. Sci.

View full text Add to dashboard Cite

show abstract

“…[17] A e B = z[(B)r n A]c Al (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19) A graphical summary of the image segmentation portion of the algorithm is shown in Figure 3-14. The final result of the image segmentation process is shown in Figure 3-14e.…”

Section: G(xy) Is the Approximation Of The Gradient For The Object Omentioning

confidence: 99%

A method for enhancing digital information displayed to computer users with visual refractive errors via spatial and spectral processing

Alonso¹

View full text Add to dashboard Cite

., "A method for enhancing digital information displayed to computer users with visual refractive errors via spatial and spectral processing" (2007 We have read this dissertation and recommend that it be approved. Malek Adjouadi Roberto PanepucciShu-Ching Chen The dissertation of Miguel Alonso Jr is approved. Dean Vish Prasad College of Engineering and ComputingDean George Walker University Graduate School This research is based on a priori knowledge of the user's visual aberration, as measured by a wavefront analyzer. With this information it is possible to generate images that, when displayed to this user, will counteract his/her visual aberration. The method described in this dissertation advances the development of techniques for providing such compensation by integrating spatial information in the image as a means to eliminate some of the shortcomings inherent in using display devices such as monitors or LCD panels. Additionally, physiological considerations are discussed and integrated into the method for providing said compensation. viIn order to provide a realistic sense of the performance of the methods described, they were tested by mathematical simulation in software, as well as by using a single-lens high resolution CCD camera that models an aberrated eye, and finally with human subjects having various forms of visual aberrations. Experiments were conducted on these systems and the data collected from these experiments was evaluated using statistical analysis.The experimental results revealed that the pre-compensation method resulted in a statistically significant improvement in vision for all of the systems. Although significant, the improvement was not as large as expected for the human subject tests. Further analysis suggest that even under the controlled conditions employed for testing with human subjects, the characterization of the eye may be changing. This would require real-time monitoring of relevant variables (e.g. pupil diameter) and continuous adjustment in the pre-compensation process to yield maximum viewing enhancement.

show abstract

Sympathetic and parasympathetic innervation of pupillary dilation during sustained processing

Cited by 400 publications

References 16 publications

Real-time Prediction of User Performance based on Pupillary Assessment via Eye-Tracking

Real-time Prediction of User Performance based on Pupillary Assessment via Eye-Tracking

Detection of Sympathetic Activation through Measurement and Adaptive Processing of the Pupil Diameter for Affective Assessment of Computer Users

A method for enhancing digital information displayed to computer users with visual refractive errors via spatial and spectral processing

Contact Info

Product

Resources

About