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.

Recent Submissions

  • A Grassroots Praxis of Technology: View from The South 

    Ghoshal, Sucheta (Georgia Institute of Technology, 2020-10-29)
    Grassroots social movements led by Black, Indigenous, People of Color (BIPOC) in the southeastern United States have survived and fought through centuries of systemic oppression. In the recent age of Information Communication ...
  • Maker-Oriented Curriculum for Human-Centered Design and Prototyping Instruction 

    Cochran, Zane Ray (Georgia Institute of Technology, 2020-10-16)
    As the role of human-centered design and human-computer interaction continues to expand its role in undergraduate and graduate computer science and engineering programs, the demand for tools and technologies to study these ...
  • User’s role in shaping WeChat as an infrastructure: practice, appropriation, creation 

    Zhou, Rui RZ (Georgia Institute of Technology, 2020-08-17)
    The past decade has seen the rapid development of information and communication technologies, particularly online social platforms such as Twitter and Facebook. While online social platforms have existed since the early ...
  • VISUAL DENSE THREE-DIMENSIONAL MOTION ESTIMATION IN THE WILD 

    Lv, Zhaoyang (Georgia Institute of Technology, 2019-08-19)
    One of the most fundamental abilities of the human perception system is to seamlessly sense the changing 3D worlds from our ego-centric visual observations. Driven by the modern applications of robotics, autonomous driving, ...
  • Improved search techniques for structured prediction 

    Vijayakumar, Ashwin Kalyan (Georgia Institute of Technology, 2020-07-29)
    Many useful AI tasks like machine translation, captioning or program syn- thesis to name a few can be abstracted as structured prediction problems. For these problems, the search space is well-defined but extremely large ...
  • Search-based collision-free motion planning for robotic sculpting 

    Jain, Abhinav (Georgia Institute of Technology, 2020-07-28)
    In this work, I explore the task of robot sculpting. I propose a search-based planning algorithm to solve the problem of sculpting by material removal with a multi-axis manipulator. I generate collision free trajectories ...
  • Measuring the effect of user experience and engagement on learning using interactive simulations 

    Tomlinson, Brianna J. (Georgia Institute of Technology, 2020-07-21)
    Previous studies have explored the best methods to measure emotional, cognitive, and physical engagement, but these methods have not been applied to fully understand the impact of multimodal interactive simulations on ...
  • Human-guided task transfer for interactive robots 

    Fitzgerald, Tesca Kate (Georgia Institute of Technology, 2020-07-06)
    Adaptability is an essential skill in human cognition, enabling us to draw from our extensive, life-long experiences with various objects and tasks in order to address novel problems. To date, robots do not have this kind ...
  • Digital self-harm: Implications of eating disordered behaviors online 

    Pater, Jessica A. (Georgia Institute of Technology, 2020-07-21)
    It is estimated that 10%-20% of the US population will struggle with an eating disorder at some point in their lifetime [258]. Eating disorders is a complex set of psychiatric disorders that, regardless of classification, ...
  • Efficient trajectory and policy optimization using dynamics models 

    Yan, Xinyan (Georgia Institute of Technology, 2020-07-22)
    Data-driven approaches hold the promise of creating the next wave of robots that can perform diverse tasks and adapt to unstructured environments. However, gathering data of physical systems is often a labor-intensive, ...
  • Designing collaborative mobile health experiences for adolescent patients 

    Hong, Matthew K. (Georgia Institute of Technology, 2020-05-17)
    The proliferation of patient-generated data and mobile health (mHealth) technologies has provided unprecedented opportunities for patients' everyday health management and active participation in health care. Designing and ...
  • Low-shot learning for object recognition, detection, and segmentation 

    Shaban, Amirreza (Georgia Institute of Technology, 2020-05-17)
    Deep Neural Networks are powerful at solving classification problems in computer vision. However, learning classifiers with these models requires a large amount of labeled training data, and recent approaches have struggled ...
  • Detecting and mitigating human bias in visual analytics 

    Wall, Emily (Georgia Institute of Technology, 2020-05-17)
    People are susceptible to a multitude of biases, including perceptual biases and illusions; cognitive biases like confirmation bias or anchoring bias; and social biases like racial or gender bias that are borne of cultural ...
  • Grasp contact between hand and object: Capture, analysis, and applications 

    Brahmbhatt, Samarth Manoj (Georgia Institute of Technology, 2020-05-13)
    Contact is an important but often oversimplified component of human grasping. Capturing hand-object contact in detail can lead to important insights about grasping behavior, and enable applications in diverse fields like ...
  • Learning to walk using deep reinforcement learning and transfer learning 

    Yu, Wenhao (Georgia Institute of Technology, 2020-05-17)
    We seek to develop computational tools to reproduce the locomotion of humans and animals in complex and unpredictable environments. Such tools can have significant impact in computer graphics, robotics, machine learning, ...
  • Visualization by demonstration 

    Saket, Bahador (Georgia Institute of Technology, 2020-05-05)
    A key component of visualization systems that helps human sensemaking is interactivity. Thoughtfully designed interactions make the visual analysis process a conversation between the user and the interface that results in ...
  • Autonomous Rally Racing with AutoRally and Model Predictive Control 

    Goldfain, Brian (Georgia Institute of Technology, 2019-07-30)
    The ability to conduct experiments in the real world is a critical step for roboticists working to create autonomous systems that achieve human-level task performance. Self-driving vehicles are a domain that has received ...
  • Modeling Human and Robot Behavior During Dressing Tasks 

    Clegg, Alexander William
    Human dressing assistance tasks present a multitude of privacy, safety, and independence concerns for the daily lives of a vast number of individuals across the world, providing strong motivation for the application of ...
  • Encoding 3D contextual information for dynamic scene understanding 

    Hickson, Steven D. (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 

    Subramanian, Kaushik (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 ...

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