Brown Bag Lunch Schedule

The HCIL has an open, semi-organized weekly "brown bag lunch (BBL)" every Thursdays from 12:30-1:30pm in HCIL (2105 Hornbake, South Wing). The topics range from someone's work, current interests in the HCIL, software demos/reviews, study design, proposed research topics, introductions to new people, etc. The BBL is the one hour a week where we all come together--thus, it’s a unique time for HCIL members with unique opportunities to help build collaborations, increase awareness of each other’s activities, and generally just have a bit of fun together with free food every week. There is no RSVP; simply show up!

If you would like to give or suggest a talk, presentation, workshop, etc., send an email to BBL student co-coordinators Deokgun Park (intuinno@umd.edu) or Rebecca Stone (rebecca.johnson.stone@gmail.com). In the email, briefly describe the topic and preferred dates.

To be notified about upcoming events, please subscribe one of these mailing lists.

We thank YAHOO for its sponsorship of the HCIL Brown Bag Lunches .

Fall 2016 Schedule

Date	Leader	Topic
09/01/2016	Kickoff to a new Semester!	Expand Come network, make introductions, and share what each of us is working on Please come to our first BBL of the fall 2016-2017 academic year to introduce yourself and share what you're working on in the coming semester. The first BBL will be for us to network with each other and kickoff a great new semester.
09/08/2016	TBD	Expand CHI Papers Clinic Lunch Abstract: TBD Bio: TBD
09/15/2016	Karen Holtzblatt InContext Design / University of Maryland, College Park	Expand Contextual Design, Cool Concepts, and Women in Tech Project Abstract: Karen has recently joined University of Maryland as a Research Scientist and will provide a brief overview of her work in user-centered design techniques and innovation as well as her new work understanding and creating intervention methods to help technology companies retain women. Karen will share the new techniques described in her upcoming book Contextual Design V2: Design for life. Because of the revolution in how technology is now integrated into life with smartphones and tablets, designers and researchers must consider new ways of collecting and using user data. The Cool Project helped define the key aspects we must now consider; these led to changes in the Contextual Design Method. Karen will also share the focus of her research on women in technology at the iSchool . Currently through collaborating with many in the industry The Women in Tech Project presents a framework for what keeps women satisfied and successful. They have also developed a measure which is being honed. More research will be occurring as well as the creation of intervention games and techniques. Bio: Karen Holtzblatt is the inventor of Contextual Inquiry and co-founder of InContext Design, which began in 1992 to use Contextual Design techniques to work with product teams to deliver market data and design solutions to clients across multiple industries. Her books, Contextual Design: Defining Customer Centered Systems, and Rapid Contextual Design, are used by companies and universities all over the world. Karen is a member of the CHI Academy (awarded to significant contributors in the Computer Human Interaction Association) and in 2010 received CHI’s first Life Time Award for Practice for her impact on the field. She holds a doctorate in applied psychology from the University of Toronto.
09/22/2016	Elissa Redmiles HCIL, University of Maryland, College Park	Expand How I Learned to be Secure: a Census-Representative Survey of Security Advice Sources and Behavior Abstract: Few users have a single, authoritative, source from whom they can request digital-security advice. Rather, digital- security skills are often learned haphazardly, as users filter through an overwhelming quantity of security advice. By understanding the factors that contribute to users' advice sources, beliefs, and security behaviors, we can help to pare down the quantity and improve the quality of advice provided to users, streamlining the process of learning key behaviors. In this work we rigorously investigated how users' security beliefs, knowledge, and demographics correlate with their sources of security advice, and how all these factors influence security behaviors. Using a carefully pre-tested, U.S.-census-representative survey of 526 users, we present an overview of the prevalence of respondents' advice sources, reasons for accepting and rejecting advice from those sources, and the impact of these sources and demographic factors on security behavior. We find evidence of a "digital divide" in security: the advice sources of users with higher skill levels and socioeconomic status dier from those with fewer resources. This digital security divide may add to the vulnerability of already disadvantaged users. We conclude with recommendations for combating the digital divide and improving the efficacy of digital-security advice. Bio: Elissa Redmiles is a Ph.D. student in Computer Science at the University of Maryland. Her research focuses on usable security - the intersection between Cyber-security and Human Computer Interaction. Elissa was a 2015 Eric and Wendy Schmidt Data Science for Social Good Fellow at the University of Chicago. Prior to pursuing her Ph.D., she held Marketing Management and Software Engineering roles at IBM and completed her B.S. in Computer Science, cum laude, at the University of Maryland.
09/29/2016	Gregg Vanderheiden Director, Trace R&D Center, University of Maryland, College Park	Expand UMD’s New Trace Center; Yesterday, Today, and Tomorrow Abstract: The Trace R&D Center just landed on campus in the iSchool. Founded at the University of Wisconsin-Madison in 1971, it has for 45 years been a leader in Technology and Disability research, development, and policy. Trace Center developments are found in every modern operating system, US Automated Postal Stations, Amtrak Kiosks, DHS Airport kiosks, and ICT of all types. Trace guidelines and work were used as the foundation for IBM, Microsoft, Apple and other companies' access guidelines as well as key parts of the W3C's WCAG 1 and 2, and US Access Board’s 508/255 guidelines. A brief history of the Trace Center will be provided followed by an overview of the current programs, partners, and potential future directions. Opportunities to get involved will also be explored. Bio: Dr. Vanderheiden has been active in the area of Technology and Disability for over 45 years. His early work was in Augmentative Communication, a term taken from his writings in the late 70’s. Starting in 1979, his focus shifted to personal computers and he worked inside Apple, Microsoft and IBM on increasing the accessibility and usability of their products. Apple included features in Apple IIe, gs, and MacOS and iOS. IBM and Microsoft licensed 9 features from Dr. Vanderheiden’s group for inclusion in DOS, OS/2, and Windows. Dr. Vanderheiden co-chaired and co-authored the Web Content Accessibility Guidelines (WCAG 1.0 and 2.0), worked with the Access Board on 255 and 508, and lead the effort to develop the EZ-Access package of cross-disability access features that are now built into Amtrak ticket machines, Automated Postal Stations, Homeland Security Passport Kiosks, and many other ITMs across the country. His current focus is on the development of a Global Public Inclusive Infrastructure (GPII).
10/06/2016	John Wilbanks, Sage Bionetworks	Expand Using Human Centered Design to Make Informed Consent Actually Inform Abstract: Mobile technologies have the potential to revolutionize both the way in which individuals monitor their health as well as the way researchers are able to collect frequent, yet sparse data on participants in clinical studies. In order for data from these devices to have maximal impact in a research setting however, the development of systems to collect, manage, and broadly share these data is essential. Possibly more important are the social constructs on which these systems need to be built to allow maximal utility to come from these data while minimizing adverse impact on individual participants. More specifically, the union of these systems and constructs must be an ecosystem build upon trust. We will present one such ecosystem focused on putting the participant at the center of the data collection: specifically by acknowledging possible risks to both individual participants as well as sub-populations of participants, providing opt-in settings for broad data sharing, and the development of an open research ecosystem built upon a social contract between researchers and research participants. A case study of one such mHealth study, leveraging Apple’s ResearchKit framework, will be presented and discussed. Bio: John Wilbanks is the Chief Commons Officer at Sage Bionetworks. Previously, Wilbanks worked as a legislative aide to Congressman Fortney “Pete” Stark, served as the first assistant director at Harvard’s Berkman Center for Internet & Society, founded and led to acquisition the bioinformatics company Incellico, Inc., and was executive director of the Science Commons project at Creative Commons. In February 2013, in response to a We the People petition that was spearheaded by Wilbanks and signed by 65,000 people, the U.S. government announced a plan to open up taxpayer-funded research data and make it available for free. Wilbanks holds a B.A. in philosophy from Tulane University and also studied modern letters at the Sorbonne.
10/13/2016	Fan Du HCIL, University of Maryland, College Park	Expand EventAction: Visual Analytics for Temporal Event Sequence Recommendation Abstract: Recommender systems are being widely used to assist people in making decisions, for example, recommending films to watch or books to buy. Despite its ubiquity, the problem of presenting the recommendations of temporal event sequences has not been studied. We propose EventAction, which to our knowledge, is the first attempt at a prescriptive analytics interface designed to present and explain recommendations of temporal event sequences. EventAction provides a visual analytics approach to (1) identify similar records, (2) explore potential outcomes, (3) review recommended temporal event sequences that might help achieve the users' goals, and (4) interactively assist users as they define a personalized action plan associated with a probability of success. Following the design study framework, we designed and deployed EventAction in the context of student advising and reported on the evaluation with a student review manager and three graduate students. http://hcil.umd.edu/eventaction Bio: Fan Du is a computer science Ph.D. student at the University of Maryland, College Park. He works as a research assistant with Prof. Ben Shneiderman and Dr. Catherine Plaisant. His research focuses on data visualization and human-computer interaction, especially on analyzing healthcare data and user activity logs. http://frankdu.org
10/20/2016	Grant McKenzie, University of Maryland, College Park	Expand Exploring dimensions of 'place' Abstract: Place is one of the foundational concepts on which the field of Geographical Sciences has been built. Traditionally, geographic information science research into place has been approached from a spatial perspective. While space is an integral feature of place, it represents only a single dimension (or a combination of three dimensions to be exact), in the complex, multidimensional concept that is place. With the increased availability of large, user-generated datasets, it has becoming increasingly apparent that the value of 'big data' lies not necessarily in its size, but in its heterogeneity. In my research, I exploit this heterogeneity to build computational, data-driven models of human behavior, taking a multi-dimensional approach to investigating place and the activities people carry out at those places. In this talk I introduce the concept of Semantic Signatures built from spatial, temporal and thematic dimensions extracted from user-contributed, and authoritative datasets. I show how these signatures can enhance existing geolocation methods, form the foundation of place-similarity models and contribute to visualizing the platial pulse of a city. Bio: Grant McKenzie is an assistant professor in the Department of Geographical Sciences at the University of Maryland, College Park, affiliate of the Center for Geospatial Information Science and director of the Place Time Analysis Lab. He holds a Ph.D. in Geography from the University of California, Santa Barbara (2015) and a Master of Applied Science degree from the University of Melbourne (2008). Grant's research interests lie in spatio-temporal data analysis, geovisualization, place-based data analytics and the intersection of information technologies and society. More information on D. Grant McKenzie and his research can be found at http://grantmckenzie.com and http://ptal.io.
10/27/2016	Greg Walsh, University of Baltimore	Expand Life in the Big City: A reflection of four years of HCI Education and Research in Baltimore Abstract: For the last four years, I have been an assistant professor at the University of Baltimore. In those four years, I’ve developed 11 different courses, started a research lab and co-design team (KidsteamUB), and integrated community engagement into our graduate UX classes. In this talk, I will discuss how my research has morphed to be accommodating to the urban university experience, and how life in the HCIL prepared me for these challenges as well as some lessons learned that I can share. Bio: Greg Walsh earned his PhD from the UMD iSchool in 2012 and has been an assistant professor at the University of Baltimore ever since. He is the graduate program director for the MS in Interaction Design and Information Architecture as well as the UX Design program. He is ruggedly handsome and a recipient of a Google 2015 Faculty Research Award.
11/03/2016	John Dickerson, Computer Science, University of Maryland, College Park	Expand Better Matching Markets via Optimization Abstract: The exchange of indivisible goods without money addresses a variety of constrained economic settings where a medium of exchange—such as money—is considered inappropriate. Participants are either matched directly with another participant or, in more complex domains, in barter cycles and chains with other participants before exchanging their endowed goods. We show that techniques from computer science and operations research, combined with the recent availability of massive data and inexpensive computing, can guide the design of such matching markets and enable the markets by running them in the real world. A key application domain for our work is kidney exchange, an organized market where patients with end-stage renal failure swap willing but incompatible donors. We present new models that address three fundamental dimensions of kidney exchange: (i) uncertainty over the existence of possible trades, (ii) balancing efficiency and fairness, and (iii) inherent dynamism. For each dimension, we design scalable branch-and-price-based integer programming market clearing methods. Next, we combine these dimensions, along with high-level human-provided guidance, into a unified framework for learning to match in a general dynamic setting. This framework, which we coin FutureMatch, takes as input a high-level objective (e.g., “maximize graft survival of transplants over time”) decided on by experts, then automatically learns based on data how to make this objective concrete and learns the “means” to accomplish this goal—a task that, in our experience, humans handle poorly. Bio: John Dickerson is an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park. I'm the lead developer of the US nationwide kidney exchange program, and lead developer of a better way to deal with TV advertisements (currently in the pilot phase with two of the nation's largest MSOs). He holds a PhD in Computer Science from Carnegie Mellon University, and has been supported by a Facebook Fellowship, Siebel Scholarship, and an NDSEG Fellowship.
11/10/2016	Bill Kules, iSchool, University of Maryland, College Park	Expand Presentation about issues of equity, diversity and inclusion into HCI and programming courses Abstract: TBD Bio: John Dickerson is an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park. I'm the lead developer of the US nationwide kidney exchange program, and lead developer of a better way to deal with TV advertisements (currently in the pilot phase with two of the nation's largest MSOs). He holds a PhD in Computer Science from Carnegie Mellon University, and has been supported by a Facebook Fellowship, Siebel Scholarship, and an NDSEG Fellowship.
11/17/2016	Bilge Mutlu, University of Wisconsin-Madison	Expand Human-Centered Principles and Methods for Designing Robotic Technologies Abstract: The increasing emergence of robotic technologies that serve as automated tools, assistants, and collaborators promises tremendous benefits in everyday settings from the home to manufacturing facilities. While these technologies promise interactions that can be highly complex and beneficial, their successful integration into the human environment ultimately requires these interactions to also be natural and intuitive. To achieve complex but intuitive interactions, designers and developers must simultaneously understand and address human and computational challenges. In this talk, I will present my group’s work on building human-centered guidelines, methods, and tools to address these challenges in order to facilitate the design of robotic technologies that are more effective, intuitive, acceptable, and even enjoyable through successful integration into the human environment. The first part of the talk will review a series of projects that will demonstrate how the marrying of knowledge about people and computational methods through a systematic design process can enable effective user interactions with social, assistive, and telepresence robots. The second part of the talk will cover ongoing work that provides designers and developers with tools to apply these guidelines to the development of real-world robotic technologies and that utilizes partnerships with domain experts and end users to ensure the successful integration of these technologies into everyday settings. The talk will conclude with a discussion of high-level design guidelines that can be drawn from this body of work. Bio: Bilge Mutlu is an associate professor of computer science, psychology, and industrial engineering at the University of Wisconsin–Madison. He received his Ph.D. degree from Carnegie Mellon University's Human-Computer Interaction Institute in 2009. His background combines training in interaction design, human-computer interaction, and robotics with industry experience in product design and development. Dr. Mutlu is a former Fulbright Scholar and the recipient of the NSF CAREER award as well as several best paper awards and nominations, including HRI 2008, HRI 2009, HRI 2011, UbiComp 2013, IVA 2013, RSS 2013, HRI 2014, CHI 2015, and ASHA 2015. His research has been covered by national and international press including the NewScientist, MIT Technology Review, Discovery News, Science Nation, and Voice of America. He has served in the Steering Committee of the HRI Conference and the Editorial Board of IEEE Transactions on Affective Computing, co-chairing the Program Committees for ROMAN 2016, HRI 2015, ROMAN 2015, and ICSR 2011, the Program Sub-committees on Design for CHI 2013 and CHI 2014, and the organizing committee for HRI 2017. More information on Dr. Mutlu and his research can be found at http://bilgemutlu.com and http://hci.cs.wisc.edu.
11/24/2016	No Brown Bag, Thanksgiving Break.
12/01/2016	Susan Winter, University of Maryland, College Park	Expand TBD Abstract: TBD Bio: TBD
12/08/2016	HCIL	Expand HCIL Seasonal Cookie Exchange To celebrate the end-of-year holidays, the HCIL will have a cookie exchange/get-together in the lab during the last HCIL brown bag of the semester. Cookie exchanges work by individuals bringing in small bags of cookies (e.g., five bags of chocolate chip cookies) and then selecting that number of other types of cookies (e.g., a bag of sugar cookies, oatmeal raisin, peanut blossoms, etc.) We encourage people to bring cookies in bags (5-6 bags of 5-6 cookies). However, even if you can’t bring in cookies, please still join us for this festive event!

Spring 2017 Schedule

Date	Leader	Topic
02/02/2017	Kickoff to a new Semester!	Expand Come network, make introductions, and share what each of us is working on Please come to our first BBL of the spring 2017 semester to introduce yourself and share what you're working on in the coming semester. The first BBL will be for us to network with each other and kickoff a great new semester.
02/09/2017	TBD	Expand TBD TBD
02/016/2017	TBD	Expand TBD TBD
02/23/2017	TBD	Expand TBD TBD
03/02/2017	TBD	Expand TBD TBD
03/09/2017	TBD	Expand TBD TBD
03/16/2017	TBD	Expand TBD TBD
03/23/2017	No Brown Bag, Spring Break.
03/30/2017	TBD	Expand TBD TBD
04/06/2017	TBD	Expand TBD TBD
04/13/2017	TBD	Expand TBD TBD
04/20/2017	TBD	Expand TBD TBD
04/27/2017	TBD	Expand TBD TBD
05/04/2017	TBD	Expand TBD TBD

Past Brown Bags

View the Past Brown Bag Lunch Schedules to learn more about prior talks.