Date
|
Leader
|
Topic
|
09/04/2014
|
Niklas Elmqvist New iSchool Professor in Infovis (link)
|
Expand
Ubiquitous Analytics: Interacting with Big Data Anywhere, Anytime
Abstract: Computing is becoming increasingly embedded in our everyday lives: mobile devices are growing smaller yet more powerful, large displays are getting cheaper, and our physical environments are turning intelligent and are integrating an increasing number of digital processors. Meanwhile, data is everywhere, and people need to leverage all of this digital infrastructure to turn it into actionable information about their hobbies, health, and personal interest. In this talk, I will present the concept of ubiquitous analytics that is staking out a new digital future of ever-present, always-on computing; one that can support manipulating, thinking about, and interacting with data anytime, anywhere.
Bio: Niklas Elmqvist is an associate professor in the College of Information Studies at University of Maryland, College Park, MD, USA. He is also a member of the University of Maryland Institute for Advanced Computer Studies. He received his Ph.D. in 2006 from Chalmers University of Technology in Gothenburg, Sweden. Prior to joining UMD in 2014, he was an faculty member in the School of Electrical and Computer Engineering at Purdue University from 2008, a postdoctoral researcher at INRIA in France from 2007, and a visiting scholar at Georgia Institute of Technology in 2006. His research areas are information visualization, human-computer interaction, and visual analytics. Prof. Elmqvist is the recipient of an NSF CAREER award in 2013, the Purdue ECE Chicago Alumni New Faculty in 2010, Google research awards in 2009 and 2010, the Ruth and Joel Spira Outstanding Teacher Award in 2012, and three best paper awards in premier venues in his field. His work has been sponsored by the National Science Foundation and the U.S. Department of Homeland Security, as well as by Google, Microsoft, and NVidia. He is a senior member of ACM, IEEE, and IEEE Computer Society.
|
09/11/2014
|
All new students!
|
Expand
New student introductions!
Much like last year, this BBL is for new students to introduce themselves, talk briefly about their projects and interests and bounce their ideas off the HCIL members. The purpose of these informal and participatory talks is to help connect new students with professors and other students sharing the same interests.
The students presenting are: Chris Musialek, Deok Gun Park, Seokbin Kang, Jonggi Hong, Sriram Karthik Badam and Majeed Kazemitabaar.
|
09/18/2014
|
Moving the cubes!
|
Resisting the cookies is futile.
|
09/25/2014
|
Kotaro Hara CS PhD Student: (link)
|
Expand
UIST2014 Practice Talk: Tohme: Detecting Curb Ramps in Google Street View Using Crowdsourcing, Computer Vision, and Machine Learning
Building on recent prior work that combines Google Street View (GSV) and crowdsourcing to remotely collect information on physical world accessibility, we present the first “smart” system, Tohme, that combines machine learning, computer vision (CV), and custom crowd interfaces to find curb ramps remotely in GSV scenes. Tohme consists of two workflows, a human labeling pipeline and a CV pipeline with human verification, which are scheduled dynamically based on predicted performance. Using 1,086 GSV scenes (street intersections) from four North American cities and data from 403 crowd workers, we show that Tohme performs similarly in detecting curb ramps compared to a manual labeling approach alone (F-measure: 84% vs. 86% baseline) but at a 13% reduction in time cost. Our work contributes the first CV-based curb ramp detection system, a custom machine-learning based workflow controller, a validation of GSV as a viable curb ramp data source, and a detailed examination of why curb ramp detection is a hard problem along with steps forward.
|
10/02/2014
|
Michelle Mazurek Assistant Professor, Department of Computer Science (link)
|
Expand
Measuring Password Guessability for an Entire University
Despite considerable research on passwords, empirical studies of password strength have been limited by lack of access to plaintext passwords, small data sets, and password sets specifically collected for a research study or from low-value accounts. Properties of passwords used for high-value accounts thus remain poorly understood.
We fill this gap by studying the single-sign-on passwords used by over 25,000 faculty, staff, and students at a research university with a complex password policy. Key aspects of our contributions rest on our (indirect) access to plaintext passwords. We describe our data collection methodology, particularly the many precautions we took to minimize risks to users. We then analyze how guessable the collected passwords would be during an offline attack by subjecting them to a state-of-the-art password cracking algorithm. We discover significant correlations between a number of demographic and behavioral factors and password strength.
We also compare the guessability and other characteristics of the passwords we analyzed to sets previously collected in controlled experiments or leaked from low-value accounts. We find more consistent similarities between the university passwords and passwords collected for research studies under similar composition policies than we do between the university passwords and subsets of passwords leaked from low-value accounts that happen to comply with the same policies.
|
10/09/2014 (room 2119)
|
m.c. schraefel Professor, University of Southampton (link)
|
Expand
Exploring the role of HCI as an agent of cultural change: from health as a medical condition to health as shared, social aspiration.
Abstract: What is the role of HCI in supporting a better normal for our health, creativity, quality of life - especially if we think about health outside a medical context. I have been thinking about the concept of “make better normal” and Ben Shneiderman has challenged me to ask isn’t that the role of design in general? And most of us would agree, so what’s different when we talk about health, not as a medical condition, but as a paradigm shift, where health is a shared and supported social aspiration? In such a discussion, HCI becomes an agent not necessarily for change, but for cultural shift - assuming we might agree on what proactive health looks like in practice - so we can design to support it. As part of this discussion i’ll offer in5 as a design model for proactive health and look forward to your feedback.
Also, we might consider how the role of HCI would change in this dynamic over time. Initially, proactive health design is likely design against the status quo. For example, if the status quo is sedentary knowledge work, and the research shows that more movement during the day is better for us cognitively, physiologically, socially, then what does HCI do to help support this transition individually and culturally? What is the role and perhaps responsibility of our collaborative work with, for instance, visualisation and big data? Likewise, what is the map of this territory for us? where are the important research questions? how would we know them? Do we ourselves need to evolve a new disciplinary expertise from nutrition to neurology for proactive health tech design? I have some thoughts/experiences in this space i’d like to share to hear your insights. Also, in particular, I would also like to present the related outcomes from a Dagstuhl Workshop that happened in June to consider Grand Challenges for Interactive Technology Design for Proactive Health, and to invite you to participate in and contribute to shaping these Challenges. This exchange, i hope, will act as both this invitation and a call to action - to say that if we see the opportunities to make a real and credible difference for proactive health, do we not need to find, fundamentally, ways to better support each others’ work to have effects at scale, to model a path for others to trust and to follow?
Bio: m.c. schraefel, ph.d, f.bcs, c.eng, cscs, @mcphoo holds the post Professor of Computer Science and Human Performance in the Agents, Interaction and Complexity Group of Electronics and Computer Science, University of Southampton, UK (http://www.ecs.soton.ac.uk/~mc). mc also holds a Research Chair sponsored by the Royal Academy of Engineering and Microsoft Research to investigate how to design interactive technology to better support creativity, innovation and discovery. As part of that research, schraefel utilises her works with athletes as a professional strength and conditioning, movement and nutrition coach for design insights into real people's longitudinal experience of and challenges with wellbeing practice (http://begin2dig.com). mc directs the Human Systems Interaction Lab at Southampton where the vision is to make better normal; make normal better, and the mission is to explore how ICT can support the brain/body connexion to enhance innovation, creativity and improved Quality of Life for all.
|
10/16/2014
|
Uran Oh CS PhD Student
|
Expand
ASSETS 2014 Practice Talk: Design of and Subjective Response to On-body Input for People With Visual Impairments
For users with visual impairments, who do not necessarily need the visual display of a mobile device, non-visual on-body interaction (e.g., Imaginary Interfaces) could provide accessible input in a mobile context. Such interaction provides the potential advantages of an always-available input surface, and increased tactile and proprioceptive feedback compared to a smooth touchscreen. To investigate preferences for and design of accessible on-body interaction, we conducted a study with 12 visually impaired participants. Participants evaluated five locations for on-body input and compared on-phone to on-hand interaction with one versus two hands. Our findings show that the least preferred areas were the face/neck and the forearm, while locations on the hands were considered to be more discreet and natural. The findings also suggest that participants may prioritize social acceptability over ease of use and physical comfort when assessing the feasibility of input at different locations of the body. Finally, tradeoffs were seen in preferences for touchscreen versus on-body input, with on-body input considered useful for contexts where one hand is busy (e.g., holding a cane or dog leash). We provide implications for the design of accessible on-body input.
|
10/23/2014
|
Andrea Wiggins Assistant Professor, iSchool (link)
|
Expand
Citizen Science at Scale: Human Computation for Science, Education, and Sustainability
Citizen science is gaining recognition as an innovative mode of scientific collaboration that engages the public in real-world research. Increased coordination and communication capacities attributed to technological advances have lead to dramatic growth in the scale, scope, and impact of public participation in science, while also enabling novel research that would not otherwise be feasible. In addition, citizen science is full interesting challenges for HCI, with notable needs and opportunities for innovation in such areas as sensors, DIY technologies, mobile applications, painless data entry, usability for "K through gray", STEM learning technologies, and data visualization and exploration tools.
This talk will introduce two projects focused on supporting large-scale participation in citizen science from a data-centric perspective. In the eBird "human-computer learning network", 40% annual growth in data submissions to one of the world's largest biodiversity data sets creates a challenge for data validation by a limited pool of experts. Our team has applied AI and machine learning to refine the system's dynamically-generated data entry interfaces, reducing the incidence of "false positives" for outlier records that require expert review. In addition, we have developed a method to estimate contributors' expertise based entirely on their data submissions, and examining time series of these expertise estimates also suggests a learning effect through ongoing participation. The expertise estimates are currently being incorporated into spatio-temporal models of bird migration to reduce noise introduced by the natural variability in diverse human observers.
The second project, recently funded by the NSF CyberSEES program, will develop proof-of-concept infrastructure to deliver biodiversity data from science classrooms across the US to researchers that need data for ongoing research. Through partnerships with several sustainability science projects and the Smithsonian BioCubes program, student-generated data will be integrated with data collected by professional scientists to support ecological studies monitoring the spread and impact of invasive species, the biogeographic and evolutionary effects of climate change, and community changes in species-rich but vulnerable coastal marine ecosystems. The UMD team will investigate the factors that enable and prevent participation by both data producers (learners) and data consumers (scientists), in order to inform the design and development of current and future cyberinfrastructure.
|
10/30/2014
|
Nicholas Diakopoulos Assistant Professor, UMD College of Journalism (link)
|
Expand
Computational Journalism: From Tools to Algorithmic Accountability
Abstract: Computational Journalism was initially conceived of as an application of computing technologies to enable journalism across information tasks such as information gathering, organization and sensemaking, storytelling, and dissemination. But computing and algorithms can also become the object of journalism. Algorithms adjudicate a large array of decisions in our lives: not just search engines and personalized online news systems, but educational evaluations, markets and political campaigns, and the management of social services like welfare and public safety. A new form of computational journalism that I call “Algorithmic Accountability Reporting” is emerging to apply the core journalistic functions of watchdogging and accountability reporting to algorithms. In this talk I will provide some perspective on the tool-oriented roots of computational journalism, and then discuss how algorithmic accountability reporting is emerging as a mechanism for elucidating and articulating the power structures, biases, and influences that computational artifacts play in society.
Bio: Nicholas Diakopoulos is an Assistant Professor at the University of Maryland College of Journalism. His research is in computational and data journalism with an emphasis on algorithmic accountability, narrative data visualization, and social computing in the news. He received his Ph.D. in Computer Science from the School of Interactive Computing at Georgia Tech where he co-founded the program in Computational Journalism. Before UMD he worked as a researcher at Columbia University, Rutgers University, and CUNY studying the intersections of information science, innovation, and journalism. Nick can be contacted via email at nad@umd.edu, and is online at @ndiakopoulos and http://www.nickdiakopoulos.com.
|
11/06/2014
|
Susan Winter Assistant Program Director, MIM
|
Expand
Top-Down and Bottom-Up: Building Information Science for an Active Middle
Abstract: Our increasingly digital society has spurred interest in information science, with a belief that it can improve health, safety, the environment, education, economic growth and more. However, capturing these benefits will require skilled information professionals who understand and create digital solutions that improve lives in a variety of fields. Guided by its focus on information, technology and people, the iSchool at the University of Maryland is developing an innovative BS in Information Science (BSIS) that will address the demand for such professionals. High-level frameworks lend structure to the disparate information science activities and disciplinary domains, but lack the detail necessary to guide research and educational programs. At this session, we will co-design the emergent BSIS curriculum that prepares students for success in a wide variety of information science careers.
Bio: Susan J. Winter, Ph.D. is Chair of the UG Committee, Director of Research Advancement, Assistant Director of the MIM Program and of CASCI at UMD’s iSchool. She has previously been a Science Advisor in the Directorate for Social Behavioral and Economic Sciences, Acting Deputy Director of the Office of Cyberinfrastructure and a Program Director at NSF supporting distributed, interdisciplinary scientific collaboration where she was responsible for programs funding research on virtual organizations as sociotechnical systems, cyber-enabled discovery and innovation, and cyberinfrastructure education, and enabling resources for building community and capacity for complex data-driven and computational science including high performance computers, large-scale databases, and advanced software tools. Her research on the impact of IT on the organization of work has appeared in top journals; she has extensive international managerial and consulting experience, and currently serves on the editorial boards of top Journals. She received her PhD from the University of Arizona, her MA from the Claremont Graduate University, and her BA from the University of California, Berkeley.
|
11/13/2014
|
Alina Goldman iSchool PhD Student
|
Audience Performer Collaboration
Expand
Integrating story into design may be an effective way to create more fulfilling interaction experiences. This informal presentation and discussion considers how designing immersive “flow” experiences can contribute to HCI research interests by improving motivation and attention. The talk describes immersive design in the context of performance, through multi-sensory technology and dynamic audience participation, and offers ideas to further explore this area of research.
|
11/20/2014
|
Beverly Harrison Principal Scientist & Director Mobile Research, Yahoo!
|
Expand
Yahoo Labs – Mobile Research Group
In this talk, Dr. Beverly Harrison will highlight strategic research areas and directions for Yahoo Labs overall, and then describe key areas the Mobile Research team is actively working on (and hiring for!). Several recent research projects will be presented including a study of teens use of smartphones and mobile apps, a study about people’s understanding of what “personalized ads” means, a social TV prototype app, and some highlights of wearables and hardware prototyping efforts.
Bio: Dr. Beverly Harrison is currently the Senior Director of Mobile Research at Yahoo Labs. Her expertise and passion over the last 20 years is creating, building and evaluating innovative mobile user interface technologies and in inferring user behavior patterns from various types of sensor data. She has previously worked at Xerox PARC, IBM Research, Intel Research, and Amazon/Lab126 as well as doing startups. Beverly has 80+ publications, holds over 50 patents, and held 3 affiliate faculty positions in CSE, iSchool, Design (Univ of Washington). She has a B.S. in Mathematics (Waterloo) and a M.Sc. and PhD in Human Factors Engineering (Toronto) where she was also an active member of the dgp Lab.
|
11/27/2014
|
No Brown Bag for Thanksgiving break.
|
12/04/2014
|
Georgia Bullen New America (link)
|
Balancing Expertise and Public Audiences: Usability in Internet Research and Policy
|
12/11/2014
|
Holiday Cookie Exchange
|
Expand
Details
Cookie exchanges involve people making a certain number of cookies (e.g., 6 bags of 6 cookies each) and bringing them in with a card describing the cookies. They all get lined up and then each person can take six bags of whichever types of cookies they want.
|