Physical Sciences and Mathematics Commons^™

Vertex-Transplants On A Convex Polyhedron, Joseph O'Rourke

Computer Science: Faculty Publications

No abstract provided.

Some Polycubes Have No Edge Zipper Unfolding, Erik D. Demaine, Martin L. Demaine, David Eppstein, Joseph O'Rourke

Computer Science: Faculty Publications

It is unknown whether every polycube (polyhedron constructed by gluing cubes face-to-face) has an edge unfolding, that is, cuts along edges of the cubes that unfolds the polycube to a single nonoverlapping polygon in the plane. Here we construct polycubes that have no edge zipper unfolding where the cut edges are further restricted to form a path.

Inclusion At Scale: Deploying A Community-Driven Moderation Intervention On Twitch, Johanna Brewer, Morgan Romine, T. L. Taylor

Computer Science: Faculty Publications

Harassment, especially of marginalized individuals, on networked gaming and social media platforms has been identified as a significant issue, yet few HCI practitioners have attempted to create interventions tackling toxicity online. Aligning ourselves with the growing cohort of design activists, we present a case study of the GLHF pledge, an interactive public awareness campaign promoting positivity in video game live streaming. We discuss the design and deployment of a community-driven moderation intervention for GLHF, intended to empower the inclusive communities emerging on Twitch. After offering a preliminary report on the effects we have observed based on the more than 370,000 …

High Performance Computing Education: Current Challenges And Future Directions, Rajendra K. Raj, Carol J. Romanowski, John Impagliazzo, Sherif G. Aly, Brett A. Becker, Juan Chen, Sheikh Ghafoor, Nasser Giacaman, Steven I. Gordon, Cruz Izu, Shahram Rahimi, Michael P. Robson, Neena Thota

Computer Science: Faculty Publications

High Performance Computing (HPC) is the ability to process data and perform complex calculations at extremely high speeds. Current HPC platforms can achieve calculations on the order of quadrillions of calculations per second, with quintillions on the horizon. The past three decades witnessed a vast increase in the use of HPC across different scientific, engineering, and business communities on problems such as sequencing the genome, predicting climate changes, designing modern aerodynamics, or establishing customer preferences. Although HPC has been well incorporated into science curricula such as bioinformatics, the same cannot be said for most computing programs. Computing educators are only …

Toward High Performance Computing Education, Rajendra K. Raj, Carol J. Romanowski, Sherif G. Aly, Brett A. Becker, Juan Chen, Sheikh Ghafoor, Nasser Giacaman, Steven I. Gordon, Cruz Izu, Shahram Rahimi, Michael P. Robson, Neena Thota

Computer Science: Faculty Publications

High Performance Computing (HPC) is the ability to process data and perform complex calculations at extremely high speeds. Current HPC platforms can achieve calculations on the order of quadrillions of calculations per second with quintillions on the horizon. The past three decades witnessed a vast increase in the use of HPC across different scientific, engineering and business communities, for example, sequencing the genome, predicting climate changes, designing modern aerodynamics, or establishing customer preferences. Although HPC has been well incorporated into science curricula such as bioinformatics, the same cannot be said for most computing programs. This working group will explore how …

Survey On Individual Differences In Visualization, Zhengliang Liu, R. Jordan Crouser, Alvitta Ottley

Computer Science: Faculty Publications

Developments in data visualization research have enabled visualization systems to achieve great general usability and application across a variety of domains. These advancements have improved not only people's understanding of data, but also the general understanding of people themselves, and how they interact with visualization systems. In particular, researchers have gradually come to recognize the deficiency of having one-size-fits-all visualization interfaces, as well as the significance of individual differences in the use of data visualization systems. Unfortunately, the absence of comprehensive surveys of the existing literature impedes the development of this research. In this paper, we review the research perspectives, …

Crowdsourcing Classroom Observations To Identify Misconceptions In Data Science, Ruth E. H. Wertz, Karl Rb Schmitt, Linda Clark, Bjorn Sandstede, Katherine M. Kinnaird

Computer Science: Faculty Publications

Web-browsing histories, online newspapers, streaming music, and stock prices all show that we live in an age of data. Extracting meaning from data is necessary in many fields to comprehend the information flow. This need has fueled rapid growth in data science education aiming to serve the next generation of policy makers, data science researchers, and global citizens. Initially, teaching practices have been drawn from data science's parent disciplines (e.g., computer science and mathematics). This project addresses the early stages of developing a concept inventory of student difficulty within the newly emerging field of data science. In particular this project …

Iclab: A Global, Longitudinal Internet Censorship Measurement Platform, Arian Akhavan Niaki, Shinyoung Cho, Zachary Weinberg, Nguyen Phong Hoang, Abbas Razaghpanah, Nicolas Christin, Phillipa Gill

Computer Science: Faculty Publications

Researchers have studied Internet censorship for nearly as long as attempts to censor contents have taken place. Most studies have however been limited to a short period of time and / or a few countries; the few exceptions have traded off detail for breadth of coverage. Collecting enough data for a comprehensive, global, longitudinal perspective remains challenging.In this work, we present ICLab, an Internet measurement platform specialized for censorship research. It achieves a new balance between breadth of coverage and detail of measurements, by using commercial VPNs as vantage points distributed around the world. ICLab has been operated continuously since …

Reconstructing The Past: The Case Of The Spadina Expressway, Alicia M. Grubb, Marsha Chechik

Computer Science: Faculty Publications

In order to build resilient systems that can be operational for a long time, it is important that analysts are able to model the evolution of the requirements of that system. The Evolving Intentions framework models how stakeholders’ goals change over time. In this work, our aim is to validate applicability and effectiveness of this technique on a substantial case. In the absence of ground truth about future evolutions, we used historical data and rational reconstruction to understand how a project evolved in the past. Seeking a well-documented project with varying stakeholder intentions over a substantial period of time, we …

Towards A General Solution For Layout Of Visual Goal Models With Actors: Supplemental Material, Yilin Lucy Wang, Alicia M. Grubb

Computer Science: Faculty Publications

Supplemental material for the paper:

"Towards a General Solution for Layout of Visual Goal Models with Actors"

This paper presents early results and lays a foundation for discussion within our GORE community.

Enhancing Learning With Primitive-Decomposed Cognitive Representations, Jamie C. Macbeth

Computer Science: Faculty Publications

This paper proposes work that applies insights from meaning representation systems for in-depth natural language understanding to representations for self-supervised learning systems, which show promise in developing complex, deeply-nested symbolic structures through self-motivated exploration of their environments. The core of the representation system transforms language inputs into language-free structures that are complex combinations of conceptual primitives, forming a substrate for human-like understanding and common-sense reasoning. We focus on decomposing representations of expectation, intention, planning, and decision-making which are essential to a self-motivated learner. These meaning representations may enhance learning by enabling a rich array of mappings between new experiences and …

A Preliminary Investigation Of The Utility Of Goal Model Construction, Naomi Cebula, Lily Diao, Alicia M. Grubb

Computer Science: Faculty Publications

Goal models have long been used in the literature to model and reason about stakeholders’ intentions. Prior work proposed several studies aimed at investigating what utility stakeholders derive from constructing and analyzing goal models. We designed and conducted an initial empirical study that explores the construction stage of goal modeling, asking whether stakeholders benefit from manually drawing their own model. We recruited eight qualified participants and asked each to create a goal model for a decision they were considering while talking out loud. Half of the participants in this study used BloomingLeaf, while the remaining participants drew goal models by …

Towards An Evaluation Visualization With Color, Megan H. Varnum, Kate M.B. Spencer, Alicia M. Grubb

Computer Science: Faculty Publications

Goal models help stakeholders understand project scenarios and make decisions. In prior work, we used Tropos evaluation semantics to allow for automated analysis over time; however, formal evaluation labels (e.g., (F, ⊥)) are difficult for users to interpret across a large model. In this paper, we present our work towards understanding the extent to which using colors in goal modeling affects users’ ability to make decisions. Specifically, we are interested in studying if coloring intentions with evaluation information allows for better comparisons of initial states and simulations of future paths. To address this question, we developed a color visualization extension …

The Role Of Latency And Task Complexity In Predicting Visual Search Behavior, Leilani Battle, R. Jordan Crouser, Audace Nakeshimana, Ananda Montoly, Remco Chang, Michael Stonebraker

Computer Science: Faculty Publications

Latency in a visualization system is widely believed to affect user behavior in measurable ways, such as requiring the user to wait for the visualization system to respond, leading to interruption of the analytic flow. While this effect is frequently observed and widely accepted, precisely how latency affects different analysis scenarios is less well understood. In this paper, we examine the role of latency in the context of visual search, an essential task in data foraging and exploration using visualization. We conduct a series of studies on Amazon Mechanical Turk and find that under certain conditions, latency is a statistically …