Paul Hungler
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View article: Written Communication Skill Development in Undergraduate Engineering
Written Communication Skill Development in Undergraduate Engineering Open
This exploratory study investigates development of written communication competence among Year 1 and Year 4 students. Six versions of a written task were developed and administered to Year 1 and Year 4 students and scored by trained teachi…
View article: Use of Theories in Extended Reality Educational Studies: A Systematic Literature Review
Use of Theories in Extended Reality Educational Studies: A Systematic Literature Review Open
The use of extended reality (XR) such as Virtual Reality (VR) and Augmented Reality (AR) is becoming more prevalent in educational settings. Studies on virtual environments have illustrated the potential of such environments in improving s…
View article: CLARE: Cognitive Load Assessment in REaltime with Multimodal Data
CLARE: Cognitive Load Assessment in REaltime with Multimodal Data Open
We present a novel multimodal dataset for Cognitive Load Assessment in REal-time (CLARE). The dataset contains physiological and gaze data from 24 participants with self-reported cognitive load scores as ground-truth labels. The dataset co…
View article: Evaluation of Student Perceived Learning Effectiveness and Motivation for a Capstone Design Web-based Virtual Reality Activity
Evaluation of Student Perceived Learning Effectiveness and Motivation for a Capstone Design Web-based Virtual Reality Activity Open
This study reports on the second implementation of a chemical processing plant web-based VR for a fourth-year chemical engineering capstone design course. The web-based VR provides a high fidelity representation of an ampicillin processing…
View article: Multimodal Brain–Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines
Multimodal Brain–Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines Open
CL-Drive is a driver cognitive load assessment dataset that contains Electroencephalogram (EEG) signals along with other physiological signals such as Electrocardiography (ECG) and Electrodermal Activity (EDA), and eye tracking data. We ha…
View article: EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning
EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning Open
Cognitive load, the amount of mental effort required for task completion, plays an important role in performance and decision-making outcomes, making its classification and analysis essential in various sensitive domains. In this paper, we…
View article: EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning
EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning Open
Cognitive load, the amount of mental effort required for task completion, plays an important role in performance and decision-making outcomes, making its classification and analysis essential in various sensitive domains. In this paper, we…
View article: Virtual Reality Broken Plant Tutorial for Capstone Design
Virtual Reality Broken Plant Tutorial for Capstone Design Open
Providing student capstone teams with an opportunity to demonstrate their design competency and complete a team challenge inside a full-scale chemical processing plant provides a novel learning opportunity. A full-scale virtual reality (VR…
View article: Design and Development of an Open-Source Virtual Reality Chemical Processing Plant
Design and Development of an Open-Source Virtual Reality Chemical Processing Plant Open
It is challenging to provide students studying in chemical engineering, biotechnology and other related fields with an opportunity to tour and interact with a full-scale chemical processing plant. To address this challenge, an open-sourced…
View article: Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning
Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning Open
We propose a novel neural pipeline, MSGazeNet, that learns gaze representations by taking advantage of the eye anatomy information through a multistream framework. Our proposed solution comprises two components, first a network for isolati…
View article: AttX: Attentive Cross-Connections for Fusion of Wearable Signals in Emotion Recognition
AttX: Attentive Cross-Connections for Fusion of Wearable Signals in Emotion Recognition Open
We propose cross-modal attentive connections, a new dynamic and effective technique for multimodal representation learning from wearable data. Our solution can be integrated into any stage of the pipeline, i.e., after any convolutional lay…
View article: Gaze Estimation with Eye Region Segmentation and Self-Supervised Multistream Learning
Gaze Estimation with Eye Region Segmentation and Self-Supervised Multistream Learning Open
We present a novel multistream network that learns robust eye representations for gaze estimation. We first create a synthetic dataset containing eye region masks detailing the visible eyeball and iris using a simulator. We then perform ey…
View article: Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition
Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition Open
Classification of human emotions can play an essential role in the design and improvement of human-machine systems. While individual biological signals such as Electrocardiogram (ECG) and Electrodermal Activity (EDA) have been widely used …
View article: Attentive Cross-modal Connections for Deep Multimodal Wearable-based\n Emotion Recognition
Attentive Cross-modal Connections for Deep Multimodal Wearable-based\n Emotion Recognition Open
Classification of human emotions can play an essential role in the design and\nimprovement of human-machine systems. While individual biological signals such\nas Electrocardiogram (ECG) and Electrodermal Activity (EDA) have been widely\nus…
View article: The future of simulation‐based medical education: Adaptive simulation utilizing a deep multitask neural network
The future of simulation‐based medical education: Adaptive simulation utilizing a deep multitask neural network Open
Background In resuscitation medicine, effectively managing cognitive load in high‐stakes environments has important implications for education and expertise development. There exists the potential to tailor educational experiences to an in…
View article: Using a Structured Approach to Reflective Journaling in Engineering Leadership Development
Using a Structured Approach to Reflective Journaling in Engineering Leadership Development Open
Reflection is an active learning technique that can be used to encourage greater understanding and act as a metacognitive strategy to develop lifelong learning skills. This “Work-in-Progress” paper presents a research study related to a we…
View article: UTILIZATION OF VIRTUAL REALITY FOR ENGINEERING DISCIPLINE SELECTION
UTILIZATION OF VIRTUAL REALITY FOR ENGINEERING DISCIPLINE SELECTION Open
Fully immersive Virtual Reality (VR) has the ability to take students to remote locations or allow them to interact with a simulated environment without having to leave campus. This study investigated whether VR is an effective tool to hel…
View article: Toward Dynamically Adaptive Simulation: Multimodal Classification of User Expertise Using Wearable Devices
Toward Dynamically Adaptive Simulation: Multimodal Classification of User Expertise Using Wearable Devices Open
Simulation-based training has been proven to be a highly effective pedagogical strategy. However, misalignment between the participant’s level of expertise and the difficulty of the simulation has been shown to have significant negative im…