37 citations · 80 across the 6 of their papers we have counts for
7 papers
Moving Beyond the Flat Screen: Opportunities and Challenges of Extended Reality for Studying Human Brain and Behavior
Tom Bullock, Radha Kumaran, You-Jin Kim +3
Much of what we know about human perception and cognition comes from austere experimental settings: static stimuli presented to sedentary observers on flat monitors, complex respon…
SABER: Spatial Attention, Brain, Extended Reality
Tom Bullock, Emily Machniak, You-Jin Kim +9
Tracking moving objects is a critical skill for many everyday tasks, such as crossing a busy street, driving a car or catching a ball. Attention is a key cognitive function that su…
Scene Awareness While Using Multiple Navigation Aids in AR Search
Radha Kumaran, You-Jin Kim, Emily Machniak +5
Augmented reality (AR) allows virtual information to be presented in the real world, providing support for numerous tasks including search and navigation. Allowing users access to…
Investigating Search Among Physical and Virtual Objects Under Different Lighting Conditions
You-Jin Kim, Radha Kumaran, Ehsan Sayyad +4
By situating computer-generated content in the physical world, mobile augmented reality (AR) can support many tasks that involve effective search and inspection of physical environ…
On the Go with AR: Attention to Virtual and Physical Targets while Varying Augmentation Density
You-Jin Kim, Radha Kumaran, Jingjing Luo +3
Augmented reality is projected to be a primary mode of information consumption on the go, seamlessly integrating virtual content into the physical world. However, the potential per…
The Impact of Navigation Aids on Search Performance and Object Recall in Wide-Area Augmented Reality
Radha Kumaran, You-Jin Kim, Anne E Milner +3
Head-worn augmented reality (AR) is a hotly pursued and increasingly feasible contender paradigm for replacing or complementing smartphones and watches for continual information co…
StressNet: Detecting Stress in Thermal Videos
Satish Kumar, A S M Iftekhar, Michael Goebel +7
Precise measurement of physiological signals is critical for the effective monitoring of human vital signs. Recent developments in computer vision have demonstrated that signals su…