Call for papers / Timeplan

The IEEE VR 2017 Workshop on Perceptual and Cognitive Issues in AR (PERCAR) is the third workshop at IEEE VR intended to advance the state-of-the-art in human factors driven research in Augmented Reality.


Sunday 8.30-9.45
Where are glad  to have another highly interesting keynote this year, by Prof. Bruce Thomas (UniSA, Australia)

Title: Cognitive Psychology and Virtual Environments the Final Frontier

The VR research community now has stable software and hardware platforms to experiment with. VR is becoming a commercial product and in some way a commodity. We can collaborate with cognitive psychologists and neuroscientist to ask fundamental research questions. This talk will explore what questions could and should be asked.

Sunday 10.15 - 12.00 

Yuta Itoh - Indistinguishable AR towards Vision Augmentation: Optical See-Through HMDs, Perception, and Cognition
This talk explores how to improve the realism of Augmented Reality (AR) using Optical See-Through Head-Mounted Displays (OST-HMDs) with underlying perceptual and cognitive issues. Achieving the goal demands OST-HMD maintain various consistencies such as spatial, temporal, and photorealistic. I first review these issues with the basics of OST-HMDs, and cover related state-of-the-art works. I further introduce Vision Augmentation—a potential research area where we see how a future OST-HMD could support human vision.

Missie Smith - Assessing AR: Evaluating Our Methods
In recent years, AR HUD use has been increasingly incorporated into vehicles, with many manufacturers having, or working towards implementing HUDs into new models. AR technology in the form of HUDs has been associated with significant positive feedback across a number of driving measures. However, most current assessment methods were designed for traditional in-vehicle displays, but by default are being used for AR HUDs. The see-through nature of AR HUDs introduces new perceptual and cognitive challenges to drivers, and thus results in different patterns of use. Therefore, it is possible that the methods in practice may provide inaccurate data that could skew assessment results. Inaccurate results may both “fail” displays that are helpful and allow displays into vehicles that are more distracting than the methods predict. This talk will explore some of the limitations of common display assessment measures and also some of the unique challenges that are present with AR HUDs. 

Jason Orlosky - Augmented Reality as an Entry Point to Parallel Consciousness

In the 21st century, we have finally begun to scratch the surface of a ubiquitous network of information, accessible to anyone with an internet connection. We have calculators, phones, and now virtual realities, each technology both physically and logically inching closer and closer to our brains. These advancements have changed the way we learn, think, connect, and even feel.

This talk explores Augmented Reality (AR) and its relationship to parallel consciousness, the idea that digital representations of cognition can function as an extension and in many ways parallel processor to the brain. AR devices and wearable displays have the potential to be more closely integrated to our though processes than any other preceding system, and they can provide us with better mechanisms with which to study human thought. As examples, I will review technologies like eye tracking, brain computer interfaces, and neural networks, and how they relate to the field of AR. These kinds of systems give us a unique opportunity to learn about cognition and more effectively integrate human and machine intelligence into a single system.

More info soon! 

The crux of this workshop is the creation of a better understanding of the various perceptual and cognitive issues that inform and constrain the design of effective augmented reality systems. There is neither an in-depth overview of these factors, nor well-founded knowledge on most effects as gained through formal validation. In particular long-term usage effects are inadequately understood. However, mobile platforms and emerging headworn display hardware (“glasses”) ignite the number of users, as well as the system usage duration. To fulfill usability needs, a thorough understanding of perceptual and intertwined cognitive factors is highly needed by both research and industry: issues such as depth misinterpretation, object relationship mismatches and information overload can severely limit usability of AR applications, or even pose risks on its usage. Based on the gained knowledge, for example new interactive visualization and view management techniques can be iteratively defined, developed and validated, optimized to be congruent with human capabilities and limitations en route to more usable AR application interaces.



We expect researchers to submit early work, such as initial analyses of user studies or experimental visualization techniques, although position papers that comprise several pages and summarize a range of previous experiments or experiences (survey) also fall inside the scope of the workshop. Papers should be between 4 and 6 pages in length and may cover one or more of the following topics: 

  • Depth perception in AR
  • Color perception issues
  • Visual search / information processing
  • Situational awareness
  • Selective, focused or divided attention
  • Just noticeable differences, signal thresholds, and biases
  • Individual differences in perception & cognition
  • Comparisons between AR and VR perceptual issues
  • Cognitive load, mental workload or other cognitive issues related to perception
  • Multisensory issues (sensation, perception & cognition in non-visual AR)
  • Visualization techniques addressing perceptual or cognitive issues
  • View management techniques
  • Novel visual display devices that target specific perceptual issues
  • Validation methodologies, benchmarks and measurement methods, including eye tracking
  • Novel capturing and processing techniques (like HDR) that address perceptual issues
  • Techniques for conducting longitudinal studies

Submitted papers will be evaluated through a double blind reviewing process of the submissions by the PC committee members. 

We target accepted papers to be listed in the IEEE Digital Library.
All papers need to follow the IEEE DL format - see
Blind submissions should be made through the Easychair system:


Abstract submission deadline: open till paper deadline (February 3, 2017)
Paper submission deadline: February 3, 2017 

Notification of acceptance: February 17, 2017
Camera-ready: February 28, 2017

Joseph L. Gabbard, VirginiaTech
Kiyoshi Kiyokawa, Osaka University
Ernst Kruijff, Bonn-Rhein-Sieg University of Applied Sciences

Jens Grubert
Steven K. Feiner
J. Adam Jones
Ed Swan
Stephen Ellis
Gerry Kim
Hirokazu Kato
Mark Billinghurst