An evaluation of multimodal interaction techniques for 3D layout constraint solver in a desktop-based virtual environment

2018 ◽  
Vol 22 (4) ◽  
pp. 339-351 ◽  
Author(s):  
Marounene Kefi ◽  
Thuong N. Hoang ◽  
Paul Richard ◽  
Eulalie Verhulst
Author(s):  
Ahmed Farooq ◽  
Grigori Evreinov ◽  
Roope Raisamo ◽  
Erno Makinen ◽  
Tomi Nukarinen ◽  
...  

2021 ◽  
Vol 5 (12) ◽  
pp. 81
Author(s):  
Ismo Rakkolainen ◽  
Ahmed Farooq ◽  
Jari Kangas ◽  
Jaakko Hakulinen ◽  
Jussi Rantala ◽  
...  

When designing extended reality (XR) applications, it is important to consider multimodal interaction techniques, which employ several human senses simultaneously. Multimodal interaction can transform how people communicate remotely, practice for tasks, entertain themselves, process information visualizations, and make decisions based on the provided information. This scoping review summarized recent advances in multimodal interaction technologies for head-mounted display-based (HMD) XR systems. Our purpose was to provide a succinct, yet clear, insightful, and structured overview of emerging, underused multimodal technologies beyond standard video and audio for XR interaction, and to find research gaps. The review aimed to help XR practitioners to apply multimodal interaction techniques and interaction researchers to direct future efforts towards relevant issues on multimodal XR. We conclude with our perspective on promising research avenues for multimodal interaction technologies.


2017 ◽  
Vol 77 (13) ◽  
pp. 16367-16398 ◽  
Author(s):  
Meng Chun Lam ◽  
Haslina Arshad ◽  
Anton Satria Prabuwono ◽  
Siok Yee Tan ◽  
S. M. M. Kahaki

Author(s):  
Michael Glueck ◽  
Azam Khan

AbstractVirtual three-dimensional (3-D) environments have become pervasive tools in a number of professional and recreational tasks. However, interacting with these environments can be challenging for users, especially as these environments increase in complexity and scale. In this paper, we argue that the design of 3-D interaction techniques is an ill-defined problem. This claim is elucidated through the context of data-rich and geometrically complex multiscale virtual 3-D environments, where unexpected factors can encumber intellection and navigation. We develop an abstract model to guide our discussion, which illustrates the cyclic relationship of understanding and navigating; a relationship that supports the iterative refinement of a consistent mental representation of the virtual environment. Finally, we highlight strategies to support the design of interactions in multiscale virtual environments, and propose general categories of research focus.


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