Review processes are complex and often subjective decision-making processes in which individual reviewers must read and rate submissions such as an academic paper, a grant proposal, or a college application, along many relevant dimensions. The process also includes committee review where individual reviewers meet to discuss the merits of a particular submission in order to recommend an accept or reject decision. We aim to reduce the impact of cognitive biases in the undergraduate admissions application review process by utilizing visualization in both individual and committee review processes.

Breathing exercises are an accessible way to manage stress and many mental illness symptoms. However, limited work has been done to investigate the effectiveness of these visual representations in supporting breathing pace as measured by synchronization. We utilized a within-subjects study to evaluate four common breathing visuals to understand which is most effective in providing breathing exercise guidance. Through controlled lab studies and interviews, we identified two representations with clear advantages over the others. We identify potential usability issues with the representations and suggest design guidelines for future development of app-supported breathing training.

Achieving accurate, complete, trustworthy and usable traceability across software-intensive systems can be extremely beneficial as the underlying network of traceability links can be used to answer diverse questions about the software system and its development process. However, in practice, many software projects suffer from inadequate or inaccurate traceability due to the cost and difficulty of manually creating and maintaining trace links. This research will develop an interactive tracing environment for visualizing the results of dynamically generated trace links.

As a growing city with a poverty rate twice the national average, South Bend residents are in need of easy ways to find and access social services in the city. A particularly vulnerable population is those who have fulfilled their criminal sentences and find themselves in need of assistance for reintegration back into society. This is a complicated and resource-starved process that requires expert knowledge and familiarity with local services. However, the current system is tedious, confusing, and its usage requires trained "navigators" to find resources for clients. To alleviate these issues this project is creating tools for semantic search and personalized recommendation of social services while integrating expert' s qualitative data.

Various stakeholders in the sports domain rely on the analysis and presentation of sports data to derive insights. In particular, sportswriters construct game stories using statistical information; fans share their viewpoints based on the real-time stats while watching the game. In this project, we explore how these stakeholders construct data-driven sports stories. We implemented two exploratory prototypes: GameViews-Writers for sportswriters to quickly extract key game information and GameViews-Fans to support a real-time data-driven game-viewing experience for fans.

Modern web technologies are enabling authors to create various forms of text visualization integration for storytelling. This integration may shape the stories' flow and thereby affect the reading experience. In this project, we seek to understand two text visualization integration forms: (i) different text and visualization spatial arrangements (layout), namely, vertical and slideshow; and (ii) interactive linking of text and visualization (linking). Here, linking refers to a bidirectional interaction mode that explicitly highlights the explanatory visualization element when selecting narrative text and vice versa.

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As consumers strive towards eating healthy, it is important for them to get the most reliable nutritional information about what they are consuming. In this project, we aim to build food networks that encompass a user's eating and lifestyle habits as well as food/ingredient information to recommend to them the healthiest and most preferred options.