Title:  Finding What to Read: Visual Text Analytics Tools and Techniques to Guide Investigation

Abstract:  Text is one of the most prominent forms of open data available, from social media to legal cases. Text visualizations are often critiqued for not being useful, for being unstructured and presenting data out of context (think: word clouds). I argue that we should not expect them to be a replacement for reading. In this talk I will briefly discuss the close/distant reading debate then focus on where I think text visualization can be useful: hypothesis generation and guiding investigation. Text visualization can help someone form questions about a large text collection, then drill down to investigate through targeted reading of the underlying source texts. Over the past 10 years my research focus has been primarily on creating techniques and systems for text analytics using visualization, across domains as diverse as legal studies, poetics, social media, and automotive safety.  I will review several of my past projects with particular attention to the capabilities and limitations of the technologies and tools we used, how we use semantics to structure visualizations, and the importance of providing interactive links to the source materials. In addition, I will discuss the design challenges which, while common across visualization, are particularly important with text (legibility, label fitting, finding appropriate levels of ‘zoom’).

Biography:  Dr. Christopher Collins is the Canada Research Chair in Linguistic Information Visualization and an Associate Professor of Computer Science at the University of Ontario Institute of Technology (UOIT).  His research focus is interdisciplinary, combining information visualization and human-computer interaction with natural language processing to address the challenges of information management and the problems of information overload.  His work has been published in many venues including IEEE Transactions on Visualization and Computer Graphics, and has been featured in popular media such as the Toronto Star and the New York Times Magazine.  He received his PhD in Computer Science from the University of Toronto.  Dr. Collins is a past member of the executive of the IEEE Visualization and Graphics Technical Committee and sits on the IEEE VIS Conference Organizing Committee.

Title:  New Approaches to Mode-Switching

Abstract:  The fundamental unit of all interaction is issuing commands, and the trickiest types of commands are those that control “modes” — different ways to map the same input to different application actions. For example, the current mode in a tablet drawing app could determine if the exact same sequence of touch movements draws a line, pans the canvas, makes a marquee selection, or issues a gestural command. Switching between modes like these are frequent, so finding optimum mode-switching methods is important.  In this talk, I survey my group’s work to understand and improve mode-switching and command selection for different input types and device form factors. These include: Pin-and-Cross, a touch overloading technique combining static touches with nearby crossing selection; Conté, a pen-like input device that leverages small changes in contact geometry; Doppio, a reconfigurable two-faced smartwatch for tangible input; and Gunslinger, a mid-air interaction technique using bare hand postures and gestures performed in a relaxed arms-down position.

Bio:  Daniel Vogel is an Assistant Professor and co-director of the Human-Computer Interaction Lab in the Cheriton School of Computer Science at the University of Waterloo. His research interests are fundamental characteristics of input and novel forms of interaction for current and future computing form factors like touch, tangibles, large displays, mid-air gestures, and whole-body input. In addition to earning PhD and MSc degrees from the University of Toronto, Dan holds a BFA from the Emily Carr University of Art + Design, and he leverages his combined art and science background in his research. For example, he was recently awarded a major grant to build a $1.8 million lab to explore the intersection of HCI and Fine Art in spatial augmented reality. Dan’s 2004 paper on interactive ambient displays is one of the ten most cited papers in the nineteen-year history of ACM UIST, and he has received honours including: multiple best paper awards at ACM CHI; the Bill Buxton Dissertation Award (2010); a Banting Postdoctoral Fellowship (2011 – 2013), and an Ontario Early Researcher Award (2017).