Added Fall 2015 Seminar Files

_seminars/2012-12-09.md

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+---
+name:
+  -  - Fussell
+     - Sue
+
+affiliation:  Cornell University
+
+title:        Understanding and Supporting Communication Across Linguistic Boundaries
+
+location:     HUB 332
+
+date:
+  - year: 2015
+    month: 12
+    day: 09
+
+abstract: >
+  Computer-mediated communication (CMC) tools and social media potentially allow people to interact fluidly across 
+  national, cultural and linguistic boundaries in ways that would have been difficult if not impossible in the past. 
+  To date, however, however, much of this potential fails to be realized. A single individual is unlikely to be 
+  fluent in a wide array of languages. The use of a lingua franca such as English permits a degree of interaction 
+  with speakers of other native languages, but it can have negative effects on non-native speakers. Advances in 
+  machine translation (MT) and other technologies could allow people to communicate with one another in their native 
+  language, but translation errors can create sizeable misunderstandings when MT is used in conversational settings.  
+
+  In a series of studies, my students and I have been exploring the problem space of inter-lingual communication, 
+  with the goals of better understanding the challenges of interaction across language boundaries and of informing 
+  the design of new tools to support this interaction.  I will first describe two interview studies exploring how the 
+  need to use a non-native language affects communication and coordination in both formal and informal settings. I 
+  will then describe several tools we have developed to make MT more usable in everyday conversation and present the 
+  results of lab studies evaluating these tools.  Taken together, these studies help help advance the area of 
+  inter-lingual computer-mediated communication. 
+
+bio: >
+    Susan R. Fussell is a Professor in the Department of Communication and the Department of of Information Science at 
+    Cornell University. She received her BS degree in psychology and sociology from Tufts University, and her Ph.D. in 
+    social and cognitive psychology from Columbia University. Dr. Fussell's primary interests lie in the areas of 
+    computer-supported cooperative work and computer-mediated communication. Her current projects focus on 
+    intercultural and multilingual communication, collaborative intelligence analysis, public deliberation, and tools 
+    to motivate people to reduce their energy usage.  More information can be found on her website 
+    http://sfussell.hci.cornell.edu or her lab Facebook page, https://www.facebook.com/InterculturalCommLab.
+
+---

_seminars/2015-10-07.md

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+---
+name:
+  - - Rello
+    - Luz
+
+affiliation:  Carnegie Mellon University
+
+title:        ChangeDyslexia: Early Detection and Intervention at Large Scale
+
+location:     HUB 145
+
+date:
+  - year: 2015
+    month: 10
+    day: 07
+
+abstract: >
+  More than 10% of the population has dyslexia, and most are diagnosed only after they fail in school. My work is 
+  changing this through scalable early detection and tools that help people with dyslexia read and write better. To 
+  detect dyslexia, I am developing machine learning models that predict reading and writing difficulties by watching 
+  how people interact with my web-based game Dytective. My experiments have revealed differences in how people with 
+  dyslexia read and write, and I have developed a series of tools that integrate these results to help people with 
+  dyslexia read and write better. These tools are used by tens of thousands of people, which apart from supporting 
+  users, also serve as living laboratories in which to develop and prove techniques for detection and intervention. 
+  Moving forward, we are working with schools to put our approach into practice at scale to finally eliminate school 
+  failure as a primary way dyslexia is diagnosed.
+
+bio: >
+  Luz Rello is a Post Doctoral Fellow at Carnegie Mellon University in the Human-Computer Interaction Institute. She is 
+  also an Ashoka Fellow, invited expert to W3C-WAI and co-founder of the Cookie Cloud team that creates applications 
+  from research results. She holds a degree in Linguistics (Complutense University of Madrid), a MSc in Natural 
+  Language Processing (University of Wolverhampton) and a Ph.D. in Computer Science (Pompeu Fabra University). She has 
+  received a number of awards, including the MIT Technology Review 'Innovators under 35 Award Spain' (2014) and the 
+  European Young Researchers' Award (2013) for her work on applying technology for dyslexia using Linguistics, HCI and 
+  NLP. Her IDEAL eBook reader and Dyseggxia game (Vodafone Foundation Mobile for Good Europe Awards 2013) have received 
+  nearly one hundred thousand downloads in more than 70 countries. Currently, she is working to detect dyslexia at 
+  large scale and on bringing this work to society via her non-profit organization Change Dyslexia.
+
+---

_seminars/2015-10-14.md

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+---
+name:
+  - - Fourney
+    - Adam
+
+affiliation:  Microsoft Research
+
+title:        Leveraging Signals Generated From Search Engines and Web-based Resources
+
+location:     HUB 334
+
+date:
+  - year: 2015
+    month: 10
+    day: 14
+
+abstract: >
+  Search engines and web-based resources have become ubiquitous and essential tools for supporting the use of 
+  interactive systems. (e.g, Microsoft PowerPoint, Adobe Photoshop, etc.) For example, people rely on web resources to 
+  learn new tasks, troubleshoot problems, or remind themselves of key task details. This reliance on search engines and 
+  web-based resources generates a rich set of signals that characterizes how the population thinks about and uses 
+  software systems "in the wild," on a day-to-day basis. 
+
+  In this talk, I demonstrate how these signals can be extracted and leveraged. Specifically, I show how logs of online 
+  interactions can be used to identify potential usability problems in any publicly available interactive system. I 
+  show how web tutorials can be used to map a broad user vocabulary to the narrow vocabulary expressed in a user 
+  interface. Finally, I demonstrate how web resources and software applications can mutually enhance each other by 
+  means of a shared interaction history. I conclude with an outline of my long-term research vision, which casts 
+  software applications, web search, and online support materials as interoperating components of a larger holistic 
+  system to be studied, designed, and evaluated in concert.
+
+bio: >
+  Adam Fourney joined the MSR Context, Learning, and User Experience for Search (CLUES) research group in September of 
+  this year, having recently earned his doctoral degree from the Cheriton School of Computer Science at the University 
+  of Waterloo, working under the supervision of Dr. Michael Terry. Adam also holds a master's degree from the 
+  University of Waterloo, a bachelor's degree from the University of Ottawa, and has interned on two occasions at 
+  Microsoft Research Redmond. Outside of his primary research interests, Adam is an active developer in the Pebble 
+  smartwatch community.
+
+---

_seminars/2015-10-21.md

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+---
+name:
+  - - Gajos
+    - Krzysztof
+
+affiliation:  Harvard University
+
+title:        From Paid to Organic Crowdsourcing
+
+location:     HUB 250 
+
+date:
+  - year: 2015
+    month: 10
+    day: 21
+
+abstract: >
+  Human computation systems seamlessly combine human perception, creativity and knowledge with machine-driven 
+  algorithmic computation.  Such systems have been demonstrated to accomplish tasks that could not previously be 
+  accomplished by either machines or by non-experts alone.  Contemporary human computation systems frequently recruit 
+  human contributions from online micro-labor markets such as Amazon Mechanical Turk.  While convenient, this approach 
+  limits the scale, scope and quality of work.
+
+  In contrast, my group's work has contributed to a largely unexplored area of "organic" crowdsourcing, an area that 
+  builds on insights from social computing research and on recent advances in human computation.  In organic 
+  crowdsourcing, intrinsically motivated people contribute to human computation workflows as a byproduct of performing 
+  activities that they find inherently valuable.  In successful organic crowdsourcing systems, the addition of the 
+  human computation element enhances (instead of detracting from) the main activity, while also resulting in useful 
+  work being done.  For example, with our Crowdy system, people learning from tutorial videos get prompted with short 
+  quizzes. The quizzes are designed such that by answering them, people contribute to a workflow that improves those 
+  same videos for future learners.  The quizzes are also designed to be pedagogically valuable.  The results of our 
+  study show that the improvements to the tutorial videos generated by Crowdy are comparable in quality to those 
+  produced by experts.  Our results also demonstrate that people who view tutorial videos with Crowdy and participate 
+  in quizzes learn more than people who watch the same videos with a traditional video interface.  I will present three 
+  organic crowdsourcing projects from our group and share an initial synthesis of generalizable principles for the 
+  design of organic crowdsourcing systems.
+
+bio: >
+  Krzysztof Gajos is an associate professor of Computer Science at the Harvard Paulson School of Engineering and 
+  Applied Sciences. Krzysztof is broadly interested in intelligent interactive systems, a research area that bridges 
+  artificial intelligence and human-computer interaction. Recent projects pursued by his group contributed to diverse 
+  areas such as personalized adaptive user interfaces, systems for supporting collective creativity, organic 
+  crowdsourcing, large-scale experimentation in the wild, and learning technologies.
+
+  Prior to arriving at Harvard, Krzysztof was a postdoctoral researcher at Microsoft Research. He received his Ph.D. 
+  from the University of Washington and his M.Eng. and B.Sc. degrees from MIT. In the Fall of 2005, he was visiting 
+  faculty at the Ashesi University in Accra, Ghana, where he taught Introduction to Artificial Intelligence. Krzysztof 
+  is a coeditor-in-chief of the ACM Transactions on Interactive Intelligent Systems. He is a recipient of a Sloan 
+  Research Fellowship.
+
+---

_seminars/2015-10-28.md

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+---
+name:
+  - - Kim
+    - Been
+
+affiliation:  Computer Science & Engineering
+
+title:        Interactive and Interpretable Machine Learning Models for Human Machine Collaboration
+
+location:     HUB 334 
+
+date:
+  - year: 2015
+    month: 10
+    day: 28
+
+abstract: >
+  I envision a system that enables successful collaborations between humans and machine learning models by harnessing 
+  the relative strength to accomplish what neither can do alone. Machine learning techniques and humans have skills 
+  that complement each other --- machine learning techniques are good at computation on data at the lowest level of 
+  granularity, whereas people are better at abstracting knowledge from their experience, and transferring the knowledge 
+  across domains. The goal of my research is to develop a framework for human-in-the-loop machine learning that enables 
+  people to interact effectively with machine learning models to make better decisions using large datasets, without 
+  requiring in-depth knowledge about machine learning techniques.
+
+  In this talk, I present the Bayesian Case Model (BCM), a general framework for Bayesian case-based reasoning (CBR) 
+  and prototype classification and clustering. BCM brings the intuitive power of CBR to a Bayesian generative 
+  framework. The BCM learns prototypes, the "quintessential" observations that best represent clusters in a dataset, by 
+  performing joint inference on cluster labels, prototypes and important features. Simultaneously, BCM pursues sparsity 
+  by learning subspaces, the sets of features that play important roles in the characterization of the prototypes. The 
+  prototype and subspace representation provides quantitative benefits in interpretability while preserving 
+  classification accuracy. Human subject experiments verify statistically significant improvements to participants' 
+  understanding when using explanations produced by BCM, compared to those given by prior art. I demonstrate the 
+  application of this model for an educational domain in which teachers cluster programming assignments to streamline 
+  the grading process. 
+
+bio: >
+  Been Kim is a Research Scientist at AI2. She is also an affiliated faculty in the Department of Computer Science & 
+  Engineering at the University of Washington. Her research focuses on interactive and interpretable machine learning 
+  models for human-machine collaboration. She received her PhD. from MIT. Prior to her PhD, she worked at the MathWorks 
+  as a software engineer.
+
+---

_seminars/2015-11-04.md

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+---
+name:
+  - - Holz
+    - Christian
+
+affiliation:  Microsoft Research
+
+title:        Glass Fibers, Mental Models, Mobile Devices, and Electro Shocks
+
+location:     HUB 334 
+
+date:
+  - year: 2015
+    month: 11
+    day: 04
+
+abstract: >
+  In this talk, I explore the higher dimensions of touch input. I show how to enable mobile devices to sense 3D 
+  information about the space above them from just the touch input they observe. I present a series of touchscreen 
+  devices that capture users' fingerprints upon touch, from which they conclude 3D information. Just like camera-based 
+  3D tracking systems provide the opportunity for more natural and expressive interaction, deriving such information 
+  from touch provides similar benefits. While camera-based systems require a certain distance between sensor and 
+  tracked objects, however, touchscreens sense information directly on their surface, which allows them to remain 
+  thin--the form factor that has allowed such devices to achieve mobility and mass-adoption in the first place. I 
+  demonstrate that reconstructing 3D information from touch enables devices to increase their input accuracy by a 
+  factor of three compared to current devices and I show that fingerprint-sensing touchscreens solve a long-standing 
+  challenge in HCI: biometric user identification. I conclude with a new model of user authentication on touch devices, 
+  demonstrate how to implement seamless biometric authentication on commodity devices, and discuss the implications of 
+  this model on existing operating systems and their user interfaces. 
+
+bio: >
+  Christian Holz is a researcher in Human-Computer Interaction at Microsoft Research, Redmond. His research focuses on 
+  augmenting the capabilities of existing mobile devices as well as creating new devices to enrich the sensing 
+  capabilities of today's devices. Technology Review recently named Christian one of the 10 best innovators under 35 in 
+  Germany and his work has received honorable mentions at ACM CHI and a best paper award at ACM UIST. Christian holds a 
+  Ph.D. in Human-Computer Interaction and masters and bachelor degrees in Software Engineering from University of 
+  Potsdam, Germany. 
+
+---

_seminars/2015-11-18.md

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+---
+name:
+  - - Lin
+    - Jeffrey
+
+affiliation:  Riot Games
+
+title:        67 million trials in 4 weeks: How online video games can change how we think about research, and how research can change how we design video games.
+
+location:     HUB 250
+
+date:
+  - year: 2015
+    month: 11
+    day: 18
+
+abstract: >
+  League of Legends is an online game with over 67 million players playing the game every month. As the developer of 
+  League of Legends, Riot Games has been employing the latest research from social and cognitive psychology mixed with 
+  techniques like machine learning and game design to help create more positive online communities.
+
+  One example of such research was the Tribunal System; this experimental system automatically curated behaviors such 
+  as chat logs from online communities into "case files" that could be reviewed by players in League of Legends. 
+  Depending on the case verdict, the players under review would receive rewards or punishments for their behaviors. 
+  This system collects over 105 million trials of data a year in just North America and Europe.
+
+  In a second example, we will show how you can utilize machine learning to study the evolution of language, and how 
+  feedback from the system can be used as an intervention to curb negative online behaviors. Finally, we will discuss 
+  an experiment where we explored what happens when you deploy a simple priming experiment to 67 million players over 4 
+  weeks.
+
+  Using online platforms as a medium for research, many fields of psychology could be on the verge of a breakthrough. 
+  In the past year, we have started collaborations with academic institutions to study cooperation and collective 
+  intelligence, online governance, the evolution of language and more. We want to show you how online video games can 
+  forever change how we think about research and how your lab can get involved. 
+
+bio: >
+  Jeffrey "Lyte" Lin is lead game designer of social systems and is responsible for helping League of Legends have the 
+  most sportsmanlike community in online games. Dr. Lin and his team challenge the convention that online communities 
+  are and always will be toxic environments; in fact, some of the team's latest work suggests that the vast majority of 
+  online communities are positive or neutral. He runs experiments and data analyses, translating the results and 
+  learnings into viable game features that enhance engagement while amplifying the sportsmanlike behavior that already 
+  exists in the community. Before Riot, Jeffrey was an experimental psychologist at Valve Software and received his 
+  Ph.D. in cognitive neuroscience from the University of Washington with Dr. Geoffrey Boynton and Dr. Scott Murray.  
+
+---

_seminars/2015-11-25.md

@@ -1,12 +1,19 @@
 ---
 name:
-  - Reinecke
-  - Katharina
+  - - Reinecke
+    - Katharina
 
 affiliation:  Computer Science & Engineering
 
 title:        Using Large-Scale Online Experiments to Design less WEIRD User Interfaces
 
+location:     HUB 334 
+
+date:
+  - year: 2015
+    month: 11
+    day: 25
+
 abstract: >
   An estimated 95% of our scientific knowledge about people, their behavior, perception, and preferences is based on 
   studies with "WEIRD" samples, an acronym for participants who are Western, Educated, Industrialized, Rich, and Democratic. 

_seminars/2015-12-02.md

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+---
+name:
+  - - Davidson
+    - Andrew
+  - - Agapie
+    - Elena
+  - - Sobel
+    - Kiley
+  - - Rose
+    - Emma
+
+affiliation:  Human Centered Design & Engineering
+
+title:        Building up STE(A)M : The UCD Charrette for K-12 Outreach
+
+location:     HUB 334
+
+date:
+  - year: 2015
+    month: 12
+    day: 02
+
+abstract: >
+  The imperative to inspire young students, especially under-represented minorities and women, to pursue education and 
+  careers in STE(A)M (Science, Technology, Engineering, (Art), and Math) fields is well known. The burning question is 
+  how to do it effectively.
+
+  For the past few years, we have been using a design activity known as a charrette as a way to introduce students to 
+  the user-centered design (UCD) process. In our "UCD Charrette," students are given a particular design space to 
+  explore (such as user interfaces for a web site, mobile app, or a physical device). In a very short period of time 
+  (two hours or less), working in small groups, they brainstorm user needs, develop use-case scenarios, and create and 
+  present interaction designs for an application. We have run these participatory workshops with students at various 
+  levels, from middle school to graduate programs.
+
+  In this talk, we will report on our recent experiences using our UCD Charrette in a variety of outreach efforts, most 
+  especially a number of Puget Sound high schools.
+
+bio: >
+  Andrew Davidson, HCDE Senior Lecturer (and former high school teacher)
+  Elena Agapie, HCDE PhD Student
+  Kiley Sobel, HCDE PhD Student
+  Emma Rose, UWT Assistant Professor
+
+---