School of Interactive Computing Theses and Dissertations
The College of Computing formed the School of Interactive Computing in 2007. SIC has taken the initiative in creating new, more effective techniques and practices for computing education. At the doctoral level, we led in the development of a Ph.D. in robotics; we’ve led a national trend in offering a Ph.D. in human-centered computing; and we participate fully in the College’s Ph.D. in computer science.
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Recent Submissions
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Encoding 3D contextual information for dynamic scene understanding
(Georgia Institute of Technology, 2020-04-27)This thesis aims to demonstrate how using 3D cues improves semantic labeling and object classification. Specifically, we will consider depth, surface normals, object classification, and pixel-wise semantic labeling in this ... -
Policy-based exploration for efficient reinforcement learning
(Georgia Institute of Technology, 2020-04-25)Reinforcement Learning (RL) is the field of research focused on solving sequential decision-making tasks modeled as Markov Decision Processes. Researchers have shown RL to be successful at solving a variety of problems ... -
Disentangling neural network representations for improved generalization
(Georgia Institute of Technology, 2020-04-24)Despite the increasingly broad perceptual capabilities of neural networks, applying them to new tasks requires significant engineering effort in data collection and model design. Generally, inductive biases can make this ... -
Advanced machine learning approaches for characterization of transcriptional regulatory elements and genome-wide associations
(Georgia Institute of Technology, 2020-03-20)The deep learning revolution has initiated a surge of remarkable achievements in diverse research areas where large volumes of data that underlie complex processes exist. Despite the successful application of deep models ... -
Identifying opportunities to improve content moderation
(Georgia Institute of Technology, 2020-03-18)This thesis contributes a nuanced understanding of the challenges inherent in the design and implementation of fair and efficient content moderation systems. Using large-scale data analyses, participant observations, survey ... -
Building Agents that can See, Talk, and Act
(Georgia Institute of Technology, 2020-04-25)A long-term goal in AI is to build general-purpose intelligent agents that simultaneously possess the ability to perceive the rich visual environment around us (through vision, audition, or other sensors), reason and infer ... -
Manipulating State Space Distributions for Sample-Efficient Imitation-Learning
(Georgia Institute of Technology, 2020-03-16)Imitation learning has emerged as one of the most effective approaches to train agents to act intelligently in unstructured and unknown domains. On its own or in combination with reinforcement learning, it enables agents ... -
Structured Visual Understanding, Generation and Reasoning
(Georgia Institute of Technology, 2020-01-13)The world around us is highly structured. In the real world, a single object usually consists of multiple components organized in some structures (e.g., a person has different body parts), and multiple objects usually exist ... -
Efficient and principled robot learning: theory and algorithms
(Georgia Institute of Technology, 2020-01-07)Roboticists have long envisioned fully-automated robots that can operate reliably in unstructured environments. This is an exciting but extremely difficult problem; in order to succeed, robots must reason about sequential ... -
Towards natural human-AI interactions in vision and language
(Georgia Institute of Technology, 2019-11-07)Inter-human interaction is a rich form of communication. Human interactions typically leverage a good theory of mind, involve pragmatics, story-telling, humor, sarcasm, empathy, sympathy, etc. Recently, we have seen a ... -
An analysis of supports and barriers to offering computer science in Georgia public high schools
(Georgia Institute of Technology, 2019-11-08)There is a growing international movement to provide every child access to high-quality computing education. Despite the widespread effort, most children in the US do not take any computing classes in primary or secondary ... -
Map-Centric Visual Data Association Across Seasons in a Natural Environment
(Georgia Institute of Technology, 2019-11-01)Vision is one of the primary sensory modalities of animals and robots, yet among robots it still has limited power in natural environments. Dynamic processes of Nature continuously change how an environment looks, which ... -
Managing Learning Interactions for Collaborative Robot Learning
(Georgia Institute of Technology, 2019-09-11)Robotic assistants should be able to actively engage their human partner(s) to generalize knowledge about relevant tasks within their shared environment. Yet a key challenge is not all human partners will be proficient at ... -
Visual Question Answering and Beyond
(Georgia Institute of Technology, 2019-09-03)In this dissertation, I propose and study a multi-modal Artificial Intelligence (AI) task called Visual Question Answering (VQA) -- given an image and a natural language question about the image (e.g., "What kind of store ... -
Improvisational Artificial Intelligence for Embodied Co-creativity
(Georgia Institute of Technology, 2019-08-14)Improvisational Artificial Intelligence for Embodied Co-creativity Mikhail Jacob 191 Pages Directed by Dr. Brian S. Magerko This dissertation explores embodied agents that can improvise with people in an object-based ... -
Computational Approaches to Understanding Stylistic Variation in Online Writing
(Georgia Institute of Technology, 2018-09-28)Language use in online interactions varies from community to community, from individual to individual, and even for individuals in different contexts. While prior work has identified these differences, far less is understood ... -
Computing for Social Science: Characterizing, Quantifying, and Analyzing Social Phenomena in Technology Mediated Communications
(Georgia Institute of Technology, 2018-08-10)Traditional social science methods of analyzing unstructured and semi-structured qualitative content often rely on labor and time intensive methods to transform qualitative data into quantitative representations of phenomena ... -
Combinational machine learning creativity
(Georgia Institute of Technology, 2019-07-24)Computational creativity is a field focused on the study and development of behaviors in computers an observer would deem creative. Traditionally, it has relied upon rules-based and search-based artificial intelligence. ... -
Human-centered algorithms and ethical practices to understand deviant mental health behaviors in online communities
(Georgia Institute of Technology, 2019-07-19)Social media has changed how individuals cope with health challenges in complex ways. In some mental health communities, individuals promote deliberate self-injury, disordered eating habits, and suicidal ideas as acceptable ... -
Vamos a resolver: Collaboratively configuring the internet in Havana
(Georgia Institute of Technology, 2019-07-08)Globally, nearly four billion people do not have access to the world wide web (WWW), and efforts to expand WWW access are growing rapidly. Despite these initiatives, local and international barriers along political, economic, ...
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