92 citations · 104 across the 12 of their papers we have counts for
13 papers
Extended Reality as a Mediation Layer for Situated Human Control in Human-Robot Teaming
Jens Grubert, John Dudley, Eyal Ofek +1
Extended Reality (XR) is increasingly used in human-robot interaction to communicate robot intent, planned motion, reachability, and state. We argue that XR should also be understo…
ReachVox: Clutter-free Reachability Visualization for Robot Motion Planning in Virtual Reality
Steffen Hauck, Diar Abdlkarim, John Dudley +3
Human-Robot-Collaboration can enhance workflows by leveraging the mutual strengths of human operators and robots. Planning and understanding robot movements remain major challenges…
EnVisionVR: A Scene Interpretation Tool for Visual Accessibility in Virtual Reality
Junlong Chen, Rosella P. Galindo Esparza, Vanja Garaj +2
Effective visual accessibility in Virtual Reality (VR) is crucial for Blind and Low Vision (BLV) users. However, designing visual accessibility systems is challenging due to the co…
Swarm manipulation: An efficient and accurate technique for multi-object manipulation in virtual reality
Xiang Li, Jin-Du Wang, John J. Dudley +1
The theory of swarm control shows promise for controlling multiple objects, however, scalability is hindered by cost constraints, such as hardware and infrastructure. Virtual Reali…
Working in Extended Reality in the Wild: Worker and Bystander Experiences of XR Virtual Displays in Real-World Settings
Leonardo Pavanatto, Verena Biener, Jennifer Chandran +11
Although access to sufficient screen space is crucial to knowledge work, workers often find themselves with limited access to display infrastructure in remote or public settings. W…
Hold Tight: Identifying Behavioral Patterns During Prolonged Work in VR through Video Analysis
Verena Biener, Forouzan Farzinnejad, Rinaldo Schuster +8
VR devices have recently been actively promoted as tools for knowledge workers and prior work has demonstrated that VR can support some knowledge worker tasks. However, only a few…
Working with XR in Public: Effects on Users and Bystanders
Verena Biener, Snehanjali Kalamkar, John J Dudley +4
Recent commercial off-the-shelf virtual and augmented reality devices have been promoted as tools for knowledge work and research findings show how this kind of work can benefit fr…
Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques
Junxiao Shen, John J. Dudley, Jingyao Zheng +2
Text entry is an essential task in our day-to-day digital interactions. Numerous intelligent features have been developed to streamline this process, making text entry more effecti…
Video Analysis of Behavioral Patterns During Prolonged Work in VR
Verena Biener, Forouzan Farzinnejad, Rinaldo Schuster +8
VR has recently been promoted as a tool for knowledge workers and studies have shown that it has the potential to improve knowledge work. However, studies on its prolonged use have…
Encode-Store-Retrieve: Augmenting Human Memory through Language-Encoded Egocentric Perception
Junxiao Shen, John Dudley, Per Ola Kristensson
We depend on our own memory to encode, store, and retrieve our experiences. However, memory lapses can occur. One promising avenue for achieving memory augmentation is through the…
Quantifying the Effects of Working in VR for One Week
Verena Biener, Snehanjali Kalamkar, Negar Nouri +10
Virtual Reality (VR) provides new possibilities for modern knowledge work. However, the potential advantages of virtual work environments can only be used if it is feasible to work…
Investigating Positive and Negative Qualities of Human-in-the-Loop Optimization for Designing Interaction Techniques
Liwei Chan, Yi-Chi Liao, George B. Mo +4
Designers reportedly struggle with design optimization tasks where they are asked to find a combination of design parameters that maximizes a given set of objectives. In HCI, desig…
The Imaginative Generative Adversarial Network: Automatic Data Augmentation for Dynamic Skeleton-Based Hand Gesture and Human Action Recognition
Junxiao Shen, John Dudley, Per Ola Kristensson
Deep learning approaches deliver state-of-the-art performance in recognition of spatiotemporal human motion data. However, one of the main challenges in these recognition tasks is…