Benchmark three-dimensional eye-tracking dataset for visual saliency prediction on stereoscopic three-dimensional video

2016 ◽  
Vol 25 (1) ◽  
pp. 013008 ◽  
Author(s):  
Amin Banitalebi-Dehkordi ◽  
Eleni Nasiopoulos ◽  
Mahsa T. Pourazad ◽  
Panos Nasiopoulos
Author(s):  
Seok Lee ◽  
Juyong Park ◽  
Dongkyung Nam

In this article, the authors present an image processing method to reduce three-dimensional (3D) crosstalk for eye-tracking-based 3D display. Specifically, they considered 3D pixel crosstalk and offset crosstalk and applied different approaches based on its characteristics. For 3D pixel crosstalk which depends on the viewer’s relative location, they proposed output pixel value weighting scheme based on viewer’s eye position, and for offset crosstalk they subtracted luminance of crosstalk components according to the measured display crosstalk level in advance. By simulations and experiments using the 3D display prototypes, the authors evaluated the effectiveness of proposed method.


2021 ◽  
Vol 11 (13) ◽  
pp. 5956
Author(s):  
Elena Parra ◽  
Irene Alice Chicchi Giglioli ◽  
Jestine Philip ◽  
Lucia Amalia Carrasco-Ribelles ◽  
Javier Marín-Morales ◽  
...  

In this article, we introduce three-dimensional Serious Games (3DSGs) under an evidence-centered design (ECD) framework and use an organizational neuroscience-based eye-tracking measure to capture implicit behavioral signals associated with leadership skills. While ECD is a well-established framework used in the design and development of assessments, it has rarely been utilized in organizational research. The study proposes a novel 3DSG combined with organizational neuroscience methods as a promising tool to assess and recognize leadership-related behavioral patterns that manifest during complex and realistic social situations. We offer a research protocol for assessing task- and relationship-oriented leadership skills that uses ECD, eye-tracking measures, and machine learning. Seamlessly embedding biological measures into 3DSGs enables objective assessment methods that are based on machine learning techniques to achieve high ecological validity. We conclude by describing a future research agenda for the combined use of 3DSGs and organizational neuroscience methods for leadership and human resources.


2021 ◽  
Author(s):  
Sai Phani Kumar Malladi ◽  
Jayanta Mukhopadhyay ◽  
Chaker Larabi ◽  
Santanu Chaudhury

2020 ◽  
Vol 57 (12) ◽  
pp. 1392-1401
Author(s):  
Mark P. Pressler ◽  
Emily L. Geisler ◽  
Rami R. Hallac ◽  
James R. Seaward ◽  
Alex A. Kane

Introduction and Objectives: Surgical treatment for trigonocephaly aims to eliminate a stigmatizing deformity, yet the severity that captures unwanted attention is unknown. Surgeons intervene at different points of severity, eliciting controversy. This study used eye tracking to investigate when deformity is perceived. Material and Methods: Three-dimensional photogrammetric images of a normal child and a child with trigonocephaly were mathematically deformed, in 10% increments, to create a spectrum of 11 images. These images were shown to participants using an eye tracker. Participants’ gaze patterns were analyzed, and participants were asked if each image looked “normal” or “abnormal.” Results: Sixty-six graduate students were recruited. Average dwell time toward pathologic areas of interest (AOIs) increased proportionally, from 0.77 ± 0.33 seconds at 0% deformity to 1.08 ± 0.75 seconds at 100% deformity ( P < .0001). A majority of participants did not agree an image looked “abnormal” until 90% deformity from any angle. Conclusion: Eye tracking can be used as a proxy for attention threshold toward orbitofrontal deformity. The amount of attention toward orbitofrontal AOIs increased proportionally with severity. Participants did not generally agree there was “abnormality” until deformity was severe. This study supports the assertion that surgical intervention may be best reserved for more severe deformity.


2015 ◽  
Vol 22 (5) ◽  
pp. 522-527 ◽  
Author(s):  
Rositsa Bogdanova ◽  
Pierre Boulanger ◽  
Bin Zheng

2002 ◽  
Vol 34 (4) ◽  
pp. 549-560 ◽  
Author(s):  
A. H. Clarke ◽  
J. Ditterich ◽  
K. Drüen ◽  
U. Schönfeld ◽  
C. Steineke

Author(s):  
Marcella Cornia ◽  
Lorenzo Baraldi ◽  
Giuseppe Serra ◽  
Rita Cucchiara

Author(s):  
Bo Dai ◽  
Weijing Ye ◽  
Jing Zheng ◽  
Qianyi Chai ◽  
Yiyang Yao

2011 ◽  
Vol 11 (13) ◽  
pp. 27-27 ◽  
Author(s):  
O. Chelnokova ◽  
B. Laeng

Sign in / Sign up

Export Citation Format

Share Document