Browsing Theses by Supervisor "Law, Edith"
Now showing items 1-12 of 12
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Affective Expressions in Conversational Agents for Learning Environments: Effects of curiosity, humour, and expressive auditory gestures
(University of Waterloo, 2021-12-13)Conversational agents -- systems that imitate natural language discourse -- are becoming an increasingly prevalent human-computer interface, being employed in various domains including healthcare, customer service, and ... -
Applying Fair Reward Divisions to Collaborative Work
(University of Waterloo, 2019-07-18)Collaborative crowdsourcing tasks allow workers to solve more difficult problems than they could alone, but motivating workers in these tasks is complex. In this thesis, we study how to use payments to motivate groups of ... -
Asking for Help with a Cost in Reinforcement Learning
(University of Waterloo, 2020-05-15)Reinforcement learning (RL) is a powerful tool for developing intelligent agents, and the use of neural networks makes RL techniques more scalable to challenging real-world applications, from task-oriented dialogue systems ... -
Coding Strip: A Tool for Supporting Interplay within Abstraction Ladder for Computational Thinking
(University of Waterloo, 2022-05-20)As technologies advance and play an increasingly larger role in our lives, computational thinking---the ability to understand computing concepts and procedures and their role in the tools we use---has become an important ... -
Human-AI Interaction in the Presence of Ambiguity: From Deliberation-based Labeling to Ambiguity-aware AI
(University of Waterloo, 2020-09-11)Ambiguity, the quality of being open to more than one interpretation, permeates our lives. It comes in different forms including linguistic and visual ambiguity, arises for various reasons and gives rise to disagreements ... -
A Human-Machine Framework for the Classification of Phonocardiograms
(University of Waterloo, 2018-04-20)In this thesis, we present and evaluate a framework for combining machine learning algo- rithms, crowd workers, and experts in the classification of heart sound recordings. The development of a hybrid human-machine framework ... -
Learning by Teaching: Key Challenges and Design Implications
(University of Waterloo, 2022-01-17)Benefits of learning by teaching (LbT) have been highlighted by previous studies from a pedagogical lens, as well as through computer-supported systems. However, the challenges that university students face in technology-mediated ... -
Model-Based Bayesian Sparse Sampling for Data Efficient Control
(University of Waterloo, 2019-06-24)In this work, we propose a novel Bayesian-inspired model-based policy search algorithm for data efficient control. In contrast to other model-based approaches, our algorithm makes use of approximate Gaussian processes in ... -
Novice-Centric Visualizations for Machine Learning
(University of Waterloo, 2016-04-26)This thesis focuses on visualizations for machine learning tasks. More specifically, we create a taxonomy for existing machine learning visualizations, and design a system to help machine learning novices perform labelling ... -
Supporting Voice-Based Natural Language Interactions for Information Seeking Tasks of Various Complexity
(University of Waterloo, 2021-05-25)Natural language interfaces have seen a steady increase in their popularity over the past decade leading to the ubiquity of digital assistants. Such digital assistants include voice activated assistants, such as Amazon's ... -
Systems for Managing Work-Related Transitions
(University of Waterloo, 2020-01-17)Peoples' work lives have become ever-populated with transitions across tasks, devices, and environments. Despite their ubiquitous nature, managing transitions across these three domains has remained a significant challenge. ... -
Towards the Learning, Perception, and Effectiveness of Teachable Conversational Agents
(University of Waterloo, 2019-12-20)The traditional process of building interactive machine learning systems can be viewed as a teacher-learner interaction scenario where the machine-learners are trained by one or more human-teachers. In this work, we explore ...