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IEEE Virtual Reality – Joint Workshops on Perception-driven Graphics and Displays for VR and AR & Eye Tracking and Vision Augmentation
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23-27 March 2019
Osaka, Japan

CALL FOR PAPERS

Important dates:
Workshop paper submission: January 25, 2019
Notification of acceptance: February 1, 2019
All deadlines are due at 9:00 pm Pacific Time (PDT/PST)

Website

https://sites.google.com/view/pergravarworkshop/home

Description

This year, we will be holding a series of workshops with the common topics of perception, graphics, and augmentation. As such, the PerGraVAR and VisAug workshops will be held back-to-back, with several shared sessions and/or keynotes.
We solicit original research papers in the area of perception-driven graphics and perceptual displays.

The goal of the PerGravAR workshop is the creation of a better understanding of the various techniques and systems that exploit limitations or address the potentials of the human visual system to create a more intense or comprehensible visual experience in VR and AR. While display technology progresses, pixel densities and the dynamic range increase. At the same time, refresh rates are getting higher and higher, and display latencies are continually reduced. Currently, novel technologies such as displays with a growing number of displayed views per pixel (ranging from stereo, multi-view to holographic or lightfield displays) are advancing beyond the prototype stage. Likewise, multi-layered displays and adaptable lenses are integrated into head-mounted devices. Prototypes for retinal displays and bionic contact lenses have begun to emerge. All these advances in display technologies will tighten the requirements on image synthesis techniques. This workshop aims for bringing together a group of experts to discuss perceptual findings, identify challenges and present the latest research in the field of perception-driven rendering and computational displays.

The VisAug workshop is designed to cover both eye tracking and vision augmentation technologies as they pertain to Augmented and Virtual Reality. Eye tracking is closely tied to a number of AR applications such as diagnosis, interaction with content, and enhancement of human vision. The workshop will include a review of many of these technologies, along with a series of presentations on state-of-the-art research, ranging from visualization to optical modification to vision correction in the fields of MR/AR/VR. The workshop will also include a panel/discussion session in which participants can engage with leading experts in the field. 

For these workshops, we expect researchers to submit early work, such as initial analyses of user studies, perceptual findings, experimental rendering techniques, or sketches for novel devices. Although position papers that comprise several pages and summarize a range of previous approaches (literature review), perceptual findings or experiences also fall inside the scope of the workshop. Papers should be between 2 and 6 pages in length and may cover one or more of the following topics:

For PerGravAR

  • Novel display devices for VR and AR
  • Rendering and information visualization methods that exploit perceptual issues
  • Rendering and information visualization methods that target specific perceptual potentials
  • Gaze-contingent rendering and interaction techniques
  • Studies that provide insights into perception and cognition processes
  • Saliency and attention models and findings
  • Perception-driven image metrics
  • Perceptual issues of image synthesis techniques
  • Just noticeable differences, signal thresholds, and biases
  • Validation methodologies, benchmarks and measurement methods, including eye tracking
  • Novel measurement and processing techniques such as autorefractors or wavefront sensing
  • Experimental designs and techniques for conducting user studies
  • Systems, findings and general issues related to:
    • Depth-of-Field
    • Vergence-accommodation conflict
    • Stereo disparity manipulation
    • Wide Field-of-Views

For VisAug

  • Vision assistance, correction, training, and enhancement-
  • Head-mounted display technologies
  • Oculography, eye tracking, and pupillometry
  • Extended vision/ Superhuman vision
  • Optics hardware and software

All submitted papers will go through a two-stage review process to guarantee the publication of high-quality papers. All accepted IEEE VR Workshops paper will be published electronically through the IEEE Digital Library. 

Submissions

Papers are to be submitted online through the Easychair system
PerGravAR
https://easychair.org/conferences/?conf=pergravar2019
VisAug
https://easychair.org/conferences/?conf=visaug2019

Best wishes,Martin Weier, Kaan Aksit, Jason Orlosky,  Yuta Itoh, Praneeth Chakravarthula and Chang Liu

PhD-course: Eye-tracking in social science research projects
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The qualifications and skills obtained during master programs often hardly prepare students to conduct eye-tracking studies, to avoid potential pitfalls when using the eye-tracking equipment and to analyze the complex eye-tracking datasets. Especially in the beginning of a PhD project these challenges appear to be overwhelming. PhD students completing the course will gain an overview of research in the field of bottom-up and top-down attentional process and search in decision-making. We will give an overview on latest developments in the field, including learning and contextual biases in decision sequences and the evaluation of decision theories. From a practical perspective PhD students will get insight in the process of setting up eye-tracking experiments, conducting a first empirical study on their own and analyzing an eye-tracking dataset. PhD students will have the opportunity to use remote eye-tracking devices together with their own laptops and use the provided software to analyze their datasets. Based on this experience, students will be able to critically reflect their experimental work and improve the planning of their own future experiments. Moreover, PhD students will learn about ways of analyzing eye-tracking data, for example using multi-level regression models.

*More information can be found at: http://tinyurl.com/phdcourse-eyetracking*

Call for Participation: PhD Course on Using Eye-tracking in Social Science Research Projects
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Course Coordinator:

  • Associate Professor Dr. Martin Meißner, University of Southern Denmark, Department of Environmental and Business Economics, Esbjerg, Denmark

Lecturers:

  • Associate Professor Dr. Martin Meißner, University of Southern Denmark, Department of Environmental and Business Economics, Esbjerg, Denmark.
  • Assistant Professor Dr. Jacob Orquin, Aarhus University, Department of Business Administration, Aarhus, Denmark.
  • Assistant Professor Dr. Jella Pfeiffer, Karlsruhe Institute of Technology, Institute of Information Systems and Marketing, Karlsruhe, Germany.
  • Assistant Professor Dr. Thies Pfeiffer, Bielefeld University, Cognitive Interaction Technology Center of Excellence, Bielefeld, Germany.

Time:

  • Monday, September 14th to Friday, September 18th, 2015.

Description:

Much of the rapid growth of research on attention and especially eye-tracking has been driven by the fast technological development in recent years and a sharp decline in the costs of eye-tracking equipment. Remote, head-mounted, portable and mobile devices will now be used in many PhD projects because it is possible to generate larger samples of respondents in new (decision) environments.

Eye-tracking makes it possible to track and study attentional processes in great detail, classically in front of computer screens but also in mobile contexts, for example when using digital devices, like smartphones or smartglasses (Google glasses, EPSON Moverio) for studying purchasing behavior in retail stores.

The qualifications and skills obtained during master programs often hardly prepare students to conduct eye-tracking studies, to avoid potential pitfalls when using the eye-tracking equipment and to analyze the complex eye-tracking datasets. Especially in the beginning of a PhD project these challenges appear to be overwhelming.

PhD students completing the course will gain an overview of research in the field of bottom-up and top-down attentional process and search in decision-making. We will give an overview on latest developments in the field, including learning and contextual biases in decision sequences and the evaluation of decision theories. From a practical perspective PhD students will get insight in the process of setting up eye-tracking experiments, conducting a first empirical study on their own and analyzing an eye-tracking dataset. PhD students will have the opportunity to use remote eye-tracking devices together with their own laptops and use the provided software to analyze their datasets. Based on this experience, students will be able to critically reflect their experimental work and improve the planning of their own future experiments. Moreover, PhD students will learn about ways of analyzing eye-tracking data, for example using multi-level regression models.

Course Content:

The following topics will be part of the course:

  • Eye-tracking basics
  • Visual attention and search in decision making
  • Eye-tracking measures and their meaning (pupil dilation, fixation duration, eye blinks, saccadic distances)
  • Handling and management of eye-tracking data
  • Mobile eye-tracking equipment and annotation of fixations
  • OpenSource eye-tracking software
  • Alternative process-tracing techniques (Mouselab, Think aloud)
  • Analysis of eye-tracking data: An overview of different analytical approaches and examples for the use of more advanced (multi-level) methods
  • Hands-on experiment with portable eye-tracking equipment (SMI Smart Glasses): Setup of a small experiment using low-frequency, portable eye-trackers to record data, analysis of the dataset, presentation of first results in class.
  • Hands-on mobile eye-tracking equipment: Track a short sequence with the mobile equipment

Course Format:

The course has a lecture/discussion format and a hands-on experimental component. The interactive lectures will focus on the theoretical background of visual attention and search in the context of decision-making. In a hands-on practical exercise PhD students will setup a small eye-tracking experi-ment and use eye-tracking equipment to record eye movements. Students can then use the provided open source software for analyzing the data as well as other (open source) statistical software package of their choice. Finally, they will present their first results in class. The practical part can take place in a classroom. PhD Students will be able to use their own laptops in combination with a portable plug-in low frequency eye-tracking device. Moreover, we will also bring mobile eye-tracking equipment to the class so that PhD students will get familiar with new mobile eye-tracking technologies, existing open source software and the potential pitfalls of these new devices.

Learning Objectives:

After completing the course, PhD students will have:

  • an understanding of problems associated with conducting eye-tracking experiments using different sorts of equipment.
  • an understanding of the data generating process.
  • an ability to assess the prospects and limits of their own empirical research.
  • an ability to setup eye-tracking experiments on their own avoiding serious pitfalls related to the use of eye-tracking technology.
  • an understanding of the various ways in which eye-tracking data can be analyzed.
  • an understanding of state-of-the-art theories of attention and search.

Prerequisites:

This PhD course is targeted for PhD students from business (particular marketing), psychology, experimental economic research, information systems and other social sciences, who are planning or starting an empirical research project using eye-tracking or other process-tracing approaches. Basic knowledge (master level) in statistics as well as knowledge in statistic software packages like SPSS, SAS, Stata, R or other programs is desirable but is not a precondition.

Evaluation:

Certificates of completion will be issued based on class attendance and participation, the submitted assignments, and an oral presentation.

Each student must submit a description (max. 2,500 words) of the (potential) eye-tracking or process-tracing part of his/her PhD project. The description should include: (1) a short introduction; (2) (preliminary) research question(s); (3) a detailed description of the data or data collection process; (4) a detailed description of the planned experiments; and (5) key references. During the PhD course each student will be asked to present: (a) a short description of his/her research project; (b) the relation of the PhD project to existing eye-tracking research, the theoretical background, and the chosen or planned experiments; (c) arguments why the proposed methodology to analyze the data is appropriate.

ECTS: 5
Teaching language: English
Fee: none

Participation:

To apply to the course, please send an e-mail – no later than 21.08.2015 – to Martin Meißner (meiss-ner@sam.sdu.dk).
Do you have questions about the course? Please contact Martin Meißner (meissner@sam.sdu.dk) or Jella Pfeiffer (jella.pfeiffer@kit.edu).