Our research expands the paradigm of 1:1 AR collaboration systems to multi-party AR collaboration systems, enabling more flexible control over the positioning of the RU. We investigate multi-party conversations involving two or more participants and one VH replacing the RU. Specifically, we vary the distance between the two LUs and the VH to examine RU’s […]

Group and individual problem-solving play important roles in industrial innovation, product development, strategy formulation, and many other applications. Prof. Duimering’s lab at the University of Waterloo has conducted experiments investigating the behaviour of individuals and groups solving problems under various conditions. Studies have investigated the effects of problem complexity, individual vs. group incentives, and the […]

CrucialLogics Project Management Office Internship. We are looking to hire two interns to play the role of Associate Project Managers to run Cloud Data and Identity Protection projects that leverage Microsoft Security solutions and Azure infrastructure. The duration would likely be four months and we intend to offer full-time employment to candidates who demonstrate the […]

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Our research project aims to explore two interconnected objectives: understanding the impact of dominance in the collaboration between virtual assistants and human operators, and examining how an individual’s level of dominance affects their perception of a virtual assistant’s dominance during initial interactions. To achieve these goals, we will conduct a user study where participants, interacting […]

Avec l’arrivée rapide des technologies émergentes et les objectifs du secteur aérospatial en matière de développement durable, les entreprises du secteur aérospatial québécois doivent aujourd’hui adapter leurs pratiques de gestion afin de demeurer compétitives sur le marché et attrayantes pour le talent. Alors que les modèles existants de gestion de changements suivent plutôt une approche […]

This project “Multimodal RAG Explainability (MRAGE)” aims to develop an interactive tool for explaining Large Multimodal Models (LMMs) augmented with retrieval capabilities. LMMs represent a significant advancement in AI, capable of understanding and generating content across multiple modalities like text and images. By employing the retrieval-augmented generation (RAG) methodology, this project queries external knowledge sources […]

The project “Developing Data Strategies to Enable Healthcare Machine Learning” aims to develop effective strategies to collect, curate, and maintain data in healthcare. A data strategy which enables Artificial Intelligence (AI)/Machine Learning (ML) models plays a pivotal role in building response healthcare solutions. The project is focused on understanding the fairness aspects of care quality […]

This project explores the evolution and strategic development of early streaming services, including Netflix, Disney +, and Amazon Prime Video. The aim is to study the technological, social, and economic catalysts that have defined the landscape of digital media consumption. An in-depth analysis of these largest platforms’ growth tactics and operational activities will reveal the […]

The project “Evaluating LLMs for Sentence Encoding and Clustering to support Thematic Analysis in Qualitative Research” aims to provide qualitative researchers with advanced machine learning techniques for social media data analysis while maintaining autonomy and ownership of their data analysis. By benchmarking modern Language and Large Language Models against established metrics such as coherence and […]

Reconfigurable intelligent surfaces (RISs) have emerged as a transformative technology in the sixth-generation (6G) wireless communications. The RIS technology can easily be realized in local area networks and disaster management scenarios where ad-hoc local area networks need to be setup to ensure mission-critical connectivity. The objective of this project is to develop the techniques to […]

The ultimate aim of this project is to design and develop methods and tools for classifying attributes of books such as genre, style, tone, and likelihood of being popular. Towards this end we will make use of various information types available on books and users of the Kobo catalog, including the text, meta-data associated with […]