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Browsing Videos by Department "Computer Science"

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    The Case for Multidisciplinary Computer Science
    Burge, Jamika (2015-04-17)
    Multidisciplinary computer science approaches problem solving from a range of disciplines. Arguably, some of today’s most salient areas of technical research – social computing, data analytics (“big data”), and cyber security – are multidisciplinary in nature. Moreover, multidisciplinary computing has the unique quality of empowering technology users in ways that did not exist just ten years ago (think Google Glass and quantified self applications). In this talk, I share a series of research projects that have contributed to the line of multidisciplinary computing research. I will also share lessons learned and possible directions for future research.
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    Promoting Service Design as a Critical Lens within HCI
    Zimmerman, John (2015-02-06)
    HCI has a history of adding critical lenses in reaction to the kinds of things it makes. It started with a narrow focus on usability and then added a user-centered design (UCD) lens in order create tools that made people more effective at work. More recently it added a user experience (UX) lens in order to design products consumers desire. Today HCI promotes UCD and UX as core to what we do and who we are. Interestingly, work in both HCI research and practice involves new things that conflict with this identity and with the product-centric focus of UCD and UX. First, traditional brick and mortar services increasingly ask HCI teams to make customer-facing interfaces. This along with the rapid growth in Software as a Service means today’s HCI teams make more services than products. Second, work on social computing and on designing for social change frequently ask HCI teams to make systems that strongly influence or even radically change users’ behaviors in ways that have nothing to do with meeting their needs or desires. This work is often at odds with the core tenants of UCD and UX and with the idea that HCI plays the role of user advocate. I suggest that HCI needs to evolve by adding service design as critical new lens. Service design offers several benefits. It employs a design process meant to results in a service. In addition, this process helps design teams envision systemic solutions that meet the needs of many stakeholders linked together in complex relationships, providing a better fit to the challenges found in social computing and in design for social innovation. In this talk I discuss how HCI has historically evolved to meet the changing needs. I then discuss service design as a distinct design practice. Finally, I detail how service design helps address challenges in designing services, social computing systems, and systems intended to drive social change. Bio John Zimmerman is an interaction designer and researcher with a joint appointment as an Associate Professor at Carnegie Mellon’s HCI Institute and School of Design. His research has four main themes: (i) how to drive innovation of public services using social computing (ii) how changing system behavior can influence users’ perceptions of value for the system; (iii) research through design in HCI; and (iv) interaction with intelligent systems. Prior to joining Carnegie Mellon, John worked at Philips Research, investigating future interactive TV products and services.
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    Text and Data Mining Forum
    Arrow, Tom; Ewing, E. Thomas; Fan, Weiguo; Fox, Edward A.; House, Leanna L.; Huang, Bert; Pannabecker, Virginia (Virginia Tech. University Libraries, 2017-04-12)
    This panel discussion was part of Open Data Week 2017 at Virginia Tech. Panelists discussed opportunities and challenges related to text and data mining, with a focus on research purposes and information access. Panelists: Tom Arrow (ContentMine), Tom Ewing (College of Liberal Arts and Human Sciences, Virginia Tech), Weiguo (Patrick) Fan (Pamplin College of Business, Virginia Tech), Ed Fox (Computer Science, Virginia Tech), Leanna House (Statistics, Virginia Tech), Brent Huang (Computer Science, Virginia Tech). Moderator: Virginia Pannabecker (University Libraries, Virginia Tech). Open Data Week 2017 events were supported by a Virginia Tech Beyond Boundaries innovation grant as well as a Virginia Tech faculty mentoring grant.
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    Virginia Tech Computer Science Faculty Interview Series: Dr. Bert Huang
    Huang, Bert (2015-04-17)
    I am an assistant professor in the Virginia Tech Department of Computer Science. I investigate machine learning with a special focus on models and data with structure stemming from natural networks. Within this focus, my work addresses open questions on theory, algorithms, and applications.
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    Virginia Tech Computer Science Faculty Interview Series: Dr. Kurt Luther
    Luther, Kurt (2015-04-16)
    I’m an assistant professor of Computer Science, a member of the Center for Human-Computer Interaction, a fellow of the Institute for Creativity, Arts, and Technology, and a faculty affiliate in Human Centered Design, all at Virginia Tech. My teaching and research focus on human–computer interaction (HCI), social computing, and crowdsourcing. I build and study systems that leverage the Internet to connect geographically distributed people with diverse skills and backgrounds. These social technologies can help people be more creative, make new discoveries, and solve complex problems. My work has applications across many domains, including movie and game production, graphic design, and citizen science. I’m also interested in connections to the digital humanities, especially history. Before coming to Virginia Tech, I was a postdoc in the HCI Institute at Carnegie Mellon University. I received my Ph.D. in Human-Centered Computing from Georgia Tech, where I was a Foley Scholar, and my undergraduate degree is from Purdue University, where I studied computer graphics, art, and design. I’ve also worked at Microsoft Research, IBM Research, Newgrounds, and YouTube (Google). http://www.kurtluther.com/
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    Virginia Tech Distinguished Lecture Series: Eric Lyon
    Lyon, Eric (2015-04-24)
    Associate Professor - Music Technology, Composition Eric Lyon is a composer and computer music researcher. Major areas of focus include computer chamber music, spatial orchestration, and articulated noise composition. Recent compositions include "Spirits", a 43-channel electroacoustic piano composition for the ZKM Kubus,"Noise Variations" for ensemble mise-en, and “The Book of Strange Positions” for the violin duo String Noise. Subject: Distinguished Lecture Series