Mark Dennison

Orcid: 0000-0001-9780-0511

According to our database1, Mark Dennison authored at least 11 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
On games and simulators as a platform for development of artificial intelligence for command and control.
CoRR, 2021

IoT Solutions with Multi-Sensor Fusion and Signal-Image Encoding for Secure Data Transfer and Decision Making.
CoRR, 2021

2020
Identifying Causes of and Solutions for Cybersickness in Immersive Technology: Reformulation of a Research and Development Agenda.
Int. J. Hum. Comput. Interact., 2020

On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

Visualizing Quantitative Uncertainty: A Review of Common Approaches, Current Limitations, and Use Cases.
Proceedings of the Advances in Simulation and Digital Human Modeling, 2020

2019
Unifying Research to Address Motion Sickness.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2019

Evaluation of Immersive Interfaces for Tactical Decision Support.
Proceedings of the Virtual, Augmented and Mixed Reality. Multimodal Interaction, 2019

2018
Unfolding the External Behavior and Inner Affective State of Teammates through Ensemble Learning: Experimental Evidence from a Dyadic Team Corpus.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

MxR Framework for Uncertainty Based Explanation for Uncovering Adversarial Behavior.
Proceedings of the Virtual, Augmented and Mixed Reality: Applications in Health, Cultural Heritage, and Industry, 2018

2017
The relationship between task-induced stress, vocal changes, and physiological state during a dyadic team task.
Proceedings of the 19th ACM International Conference on Multimodal Interaction, 2017

2016
Use of physiological signals to predict cybersickness.
Displays, 2016


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