Multiple CHCI faculty and students are participating in several recent or upcoming top conferences

Multiple CHCI faculty and students are participating in several recent or upcoming top conferences: the IEEE International Symposium on Mixed and Augmented Reality (ISMAR), the ACM Symposium on User Interface Software and Technology (UIST), and the co-located ACM conference on Spatial User Interaction (SUI) 2019.

The IEEE International Symposium on Mixed and Augmented Reality (ISMAR) is the leading international academic conference in the fields of Augmented Reality and Mixed Reality (https://www.ismar19.org/). Prof. Joe Gabbard (https://www.ise.vt.edu/people/faculty/gabbard.html) was the Science and Technology Co-Chair of the conference.  Yuan Li (CS PhD student, Doug Bowman, Advisor) presented a research paper co-authored with CHCI faculty Wallace Lages and Doug Bowman, and CHCI PhD student Lee Lisle: 

Wallace Lages, Yuan Li, Lee Lisle, Tobias Hollerer, and Doug Bowman, “Enhanced Geometric Techniques for Point Marking in Model-Free Augmented Reality.” 

The symposium, organized and supported by the IEEE Computer Society and SIGCHI, among others, was held in Beijing (China), October 14-18, 2019.

The ACM Symposium on User Interface Software and Technology (UIST) is the premier forum for innovations in human-computer interfaces (http://uist.acm.org/uist2019/), held Oct 20-23, 2019 in New Orleans, LA.  New CHCI member Shahabedin Sagheb will present his co-authored paper: “SWISH: A Shifting-Weight Interface of Simulated Hydrodynamics for Haptic Perception of Virtual Fluid Vessels” by Shahabedin Sagheb, FrankWencheng Liu, Alireza Bahremand, Assegid Kidane, Robert LiKamWa (see video: HERE).  Donghan Hu (CS PhD student) will present his poster co-authored with Sang Won Lee, titled “ScreenTrack: Using visual history for self-tracking computer activities and retrieving working context”; Sang Won Lee (his Advisor) and CS PhD student Lee Lisle (Doug Bowman, Advisor) are also attending UIST.  Sponsored by ACM special interest groups on computer-human interaction (SIGCHI) and computer graphics (SIGGRAPH), UIST brings together people from graphical & web user interfaces, tangible & ubiquitous computing, virtual & augmented reality, multimedia, new input & output devices, and Computer Supported Cooperative Work. 

Related and co-located with UIST in New Orleans is the ACM Spatial User Interaction (SUI) conference (http://sui.acm.org/2019/), October 19-20, 2019.  SUI brings together top researchers and practitioners from around the world who focus on spatial interaction for Virtual Reality, Augmented Reality, and real environments. It is a premier venue for presenting research on the design and use of technologies that focus on the challenges of interacting with the volumetric, 3D space. 

CHCI faculty Prof. Wallace Lages and CS PhD students Yuan Li (Doug Bowman, Advisor) and Leo Pavanatto Soares (Doug Bowman, Advisor) will attend and present research papers: 

Yuan Li, Feiyu Lu, Wallace Lages and Doug Bowman, "Gaze Direction Visualization Technique for Collaborative Wide-Area Model-Free Augmented Reality”.

Leo Pavanatto Soares will present: "Evaluating the Impact of Point Marking Precision on Situated Modeling Performance," by Leonardo Pavanatto Soares, Doug Bowman: Virginia Tech; and Márcio Sarroglia Pinho: Pontifical Catholic University of Rio Grande.

Abstract
Three-dimensional modeling in augmented reality allows the user to create or modify the geometry of virtual content registered to the real world. One way of correctly placing the model is by creating points over real-world features and designing the model derived from those points. We investigate the impact of using point marking techniques with different levels of precision on the performance of situated modeling, considering accuracy, and ease of use. Results from a formal user study indicate that high-precision point marking techniques are needed to ensure the accuracy of the model, while ease of use is affected primarily by perceptual issues. In domains where correctness of the model is critical for user understanding and judgment, higher precision is needed to ensure the usefulness of the application.