Call for papers / Timeplan

The IEEE VR 2018 Workshop on Perceptual and Cognitive Issues in AR (PERCAR) is the fourth workshop at IEEE VR intended to advance the state-of-the-art in human factors driven research in Augmented Reality.




PERCAR Organizers

1:30 - 1:50

Exploration of different Augmented Reality Visualizations for Enhancing Situation Awareness for Remote Factory Planning Assistance

Doris Aschenbrenner, Meng Li, Radoslaw Dukalski, Jouke Verlinden and Stephan Lukosch

1:50 - 2:10

Affordances as a Measure of Perceptual Fidelity in Augmented Reality

Grant Pointon, Chelsea Thompson, Jeanine Stefanucci, Sarah Creem-Regehr and Bobby Bodenheimer

2:10 - 3:00


Henry Duh

3:00 - 3:30


3:30 - 3:50

Evaluation of Visual Discomfort Factors in the Context of HMD Usage

Thomas Steinbrecher and Christian Mai

3:50 - 4:10

The Effect of Virtual Reality on Mentally Fatigued Athletes cycling 10-km Test Trial

Callum Armitage, Serban Pop, Thomas Day, Richard Bott and Sam Moss

4:10 - 4:30

Perception of apparent motion on the forearm

Wolfgang Hürst, Erwin Westra and Nina Rosa

4:30 - 5:00

Wrapup discussion

PERCAR Organizers


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 interfaces.



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 2 and 4 pages in length (excluding references) and may cover one or more of the following topics: depth perception in AR, color perception issues, issues related to visual search / information processing, situational awareness, studies related to selective, focused or divided attention, visualization techniques addressing perceptual or cognitive issues, view management techniques, etc. We also hope to have a PERCAR special issue in PRESENCE, helping to further solidify and grow the community.

  • 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:


Paper submission deadline: February 2, 2018 

Notification of acceptance: February 10, 2018
Camera-ready: March 1, 2018

  • Joe Gabbard, Virginia Tech, USA
  • Richard Skarbez, Virginia Tech, USA
  • Kiyoshi Kiyokawa, Nara Institute of Science and Technology, Japan
  • Ernst Kruijff, Hochschule Bonn-Rhein-Sieg, Germany