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Toby Sharp, Cem Keskin, Duncan Robertson, Jonathan Taylor, Jamie Shotton, David Kim, Christoph Rhemann, Ido Leichter, Alon Vinnikov, Yichen Wei, Daniel Freedman, Pushmeet Kohli, Eyal Krupka, Andrew Fitzgibbon, and Shahram Izadi

VIDEO: https://www.youtube.com/watch?v=A-xXrMpOHyc

Paper and Abstract coming soon.

Publication details
Date: 1 April 2015
Type: Inproceeding
Publisher: CHI
Juho Kim, Elena L. Glassman, Andrés Monroy-Hernández, and Meredith Ringel Morris

Teachers in conventional classrooms often ask learners to express themselves and show their thought processes by speaking out loud, drawing on a whiteboard, or even using physical objects. Despite the pedagogical value of such activities, interactive exercises available in most online learning platforms are constrained to multiple-choice and short answer questions. We introduce RIMES, a system for easily authoring, recording, and reviewing interactive multimedia exercises embedded in lecture videos....

Publication details
Date: 1 April 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Darren Edge, Sumit Gulwani, Natasa Milic-Frayling, Mohammad Raza, Reza Adhitya Saputra, Chao Wang, and Koji Yatani

Good alignment and repetition of objects across presentation slides can facilitate visual processing and contribute to audience understanding. However, creating and maintaining such consistency during slide design is difficult. In order to solve this problem, we present two complementary tools: (1) StyleSnap, which increases the alignment and repetition of objects by adaptively clustering object edge positions and allowing parallel editing of all objects snapped to the same spatial extent; and (2)...

Publication details
Date: 1 April 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Publication details
Date: 1 April 2015
Type: Article
Publisher: Now Publishers Inc.
Michael Levit, Andreas Stolcke, Shuangyu Chang, and Sarangarajan Parthasarathy

We describe a method for interpolation of class-based n-gram language models. Our algorithm is an extension of the traditional EMbased approach that optimizes perplexity of the training set with respect to a collection of n-gram language models linearly combined in the probability space. However, unlike prior work, it naturally supports context-dependent interpolation for class-based LMs. In addition, the method works naturally with the recently introduced wordphrase-entity (WPE) language models that...

Publication details
Date: 1 April 2015
Type: Inproceeding
Publisher: IEEE – Institute of Electrical and Electronics Engineers
Erin Brady, Meredith Ringel Morris, and Jeffrey P. Bigham

Crowd-powered systems that help people are difficult to scale and sustain because human labor is expensive and worker pools are difficult to grow. To address this problem we introduce the idea of social microvolunteering, a type of intermediated friendsourcing in which a person can provide access to their friends as potential workers for microtasks supporting causes that they care about. We explore this idea by creating Visual Answers, an exemplar social microvolunteering application for...

Publication details
Date: 1 April 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Elena L. Glassman, Juho Kim, Andrés Monroy-Hernández, and Meredith Ringel Morris

Educators have developed an effective technique to get feedback after in-person lectures, called “muddy cards.” Students are given time to reflect and write the “muddiest” (least clear) point on an index card, to hand in as they leave class. This practice of assigning end-of-lecture reflection tasks to generate explicit student feedback is well suited for adaptation to the challenge of supporting feedback in online video lectures. We describe the design and evaluation of Mudslide, a prototype system...

Publication details
Date: 1 April 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
TJ Tsai, Andreas Stolcke, and Malcolm Slaney

Addressee detection answers the question, “Are you talking to me?” When multiple users interact with a dialogue system, it is important to know when a user is speaking to the computer and when he or she is speaking to another person. We approach this problem from a multimodal perspective, using lexical, acoustic, visual, dialog state, and beam-forming information. Using data from a multiparty dialogue system, we demonstrate the benefit of using multiple modalities over using a single modality. We also...

Publication details
Date: 1 April 2015
Type: Inproceeding
Publisher: IEEE – Institute of Electrical and Electronics Engineers
Kathryn Zyskowski, Meredith Ringel Morris, Jeffrey P. Bigham, Mary L. Gray, and Shaun Kane

We present the first formal study of crowdworkers who have disabilities via in-depth open-ended interviews of 17 people (disabled crowdworkers and job coaches for people with disabilities) and a survey of 631 adults with disabilities. Our findings establish that people with a variety of disabilities currently participate in the crowd labor marketplace, despite challenges such as crowdsourcing workflow designs that inadvertently prohibit participation by, and may negatively affect the worker reputations...

Publication details
Date: 1 March 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Indrani Medhi Thies, Pedro Ferreira, Nakull Gupta, Jacki O’Neill, and Edward Cutrell

With the wide penetration of mobile internet, social networking (SN) systems are becoming increasingly popular in the developing world. However, most SN sites are text heavy, and are therefore unusable by low-literate populations. Here we ask what would an SN application for low-literate users look like and how would it be used? We designed and deployed KrishiPustak, an audio-visual SN mobile application for low-literate farming populations in rural India. Over a four month deployment, 306...

Publication details
Date: 1 March 2015
Type: Inproceeding
Publisher: ACM Conference on Computer-Supported Cooperative Work
Saiph Savage and Andres Monroy-Hernandez

Armed groups of civilians known as “self-defense forces” have ousted the powerful Knights Templar drug cartel from several towns in Michoacán, México. This militia uprising has unfolded on social media, particularly in the “VXM” (“Valor por Michoacán,” Spanish for “Courage for Michoacán”) Facebook page, gathering more than 170,000 fans. Previous work on the Drug War has documented the use of social media for real-time reports of violent clashes. However, VXM goes one step further by taking on a...

Publication details
Date: 1 March 2015
Type: Proceedings
Publisher: ACM – Association for Computing Machinery
Indrani Medhi-Thies, Pedro Ferreira, Nakull Gupta, Jacki O’Neill, and Edward Cutrell

With the wide penetration of mobile internet, social networking (SN) systems are becoming increasingly popular in the developing world. However, most SN sites are text heavy, and are therefore unusable by low-literate populations. Here we ask what would an SN application for low-literate users look like and how would it be used? We designed and deployed KrishiPustak, an audio-visual SN mobile application for low-literate farming populations in rural India. Over a four month deployment, 306...

Publication details
Date: 1 March 2015
Type: Proceedings
Publisher: ACM – Association for Computing Machinery
Asli Celikyilmaz and Dilek Hakkani-Tur

While ensemble models have proven useful for sequence learning tasks there is relatively fewer work that provide insights into what makes them powerful. In this paper, we investigate the empirical behavior of the ensemble approaches on sequence modeling, specifically for the semantic tagging task. We explore this by comparing the performance of commonly used and easy to implement ensemble methods such as majority voting, linear combination and stacking to a learning based and rather complex ensemble...

Publication details
Date: 1 February 2015
Type: Proceedings
Publisher: IEEE – Institute of Electrical and Electronics Engineers
Chuang R., Hall B.A., Benque D., Cook B., Ishtiaq S., Piterman N., Taylor A., Vardi M., Koschmieder S., Gottgens B., and Fisher J.

Chronic Myeloid Leukemia (CML) represents a paradigm for the wider cancer field. Despite the fact that tyrosine kinase inhibitors have established targeted molecular therapy in CML, patients often face the risk of developing drug resistance, caused by mutations and/or activation of alternative cellular pathways. To optimize drug development, one needs to systematically test all possible combinations of drug targets within the genetic network that regulates the disease. The BioModelAnalyzer (BMA) is a...

Publication details
Date: 1 February 2015
Type: Article
Publisher: Nature Publishing Group
Jason D. Williams, Nobal B. Niraula, Pradeep Dasigi, Aparna Lakshmiratan, Carlos Garcia Jurado Suarez, Mouni Reddy, and Geoff Zweig

In personal assistant dialog systems, intent models are classifiers that identify the intent of a user utterance, such as to add a meeting to a calendar, or get the director of a stated movie. Rapidly adding intents is one of the main bottlenecks to scaling — adding functionality to — personal assistants. In this paper we show how interactive learning can be applied to the creation of statistical intent models. Interactive learning [10] combines model definition, labeling, model...

Publication details
Date: 11 January 2015
Type: Inproceeding
Robert A Cochran, Loris D’Antoni, Benjamin Livshits, David Molnar, and Margus Veanes

In this paper, we investigate an approach to program synthesis that is based on crowd-sourcing. With the help of crowd-sourcing, we aim to capture the “wisdom of the crowds” to find good if not perfect solutions to inherently tricky programming tasks, which elude even expert developers and lack an easy-to-formalize specification.

We propose an approach we call program boosting, which involves crowd-sourcing imperfect solutions to a difficult programming problem from developers and then...

Publication details
Date: 1 January 2015
Type: Proceedings
Publisher: ACM – Association for Computing Machinery
Sang-won Leigh, Asta Roseway, and Ann Paradiso

Remnance of Form is an interactive installation that explores the dynamic tension between an object and its Shadow. By fusing light, projection, and motion technologies, the shadow can now detach itself from its former role. This creates a new narrative that challenges our perception of reality, what’s real and what’s not.


Publication details
Date: 1 January 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Dimitris Papanikolaou, A.J. Brush, and Asta Roseway

Today, it is not uncommon to find ourselves remote from those we care about. Despite the impact of mobile and social technologies on connectedness, recent studies suggest that it could be these very technologies that exacerbate a sense of loneliness. In attempt to help people feel more connected, we designed and created BodyPods, a remotely paired set of communicating chairs that facilitate a sense of presence by leveraging implicit actions such as sitting to communicate that someone you care about...

Publication details
Date: 1 January 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Michele A. Williams, Asta Roseway, Chris O’Dowd, Mary Czerwinski, and Meredith Ringel Morris

We present SWARM, a wearable affective technology designed to help a user to reflect on their own emotional state, modify their affect, and interpret the emotional states of others. SWARM aims for a universal design (inclusive of people with various disabilities), with a focus on modular actuation components to accommodate users’ sensory capabilities and preferences, and a scarf form-factor meant to reduce the stigma of accessible technologies through a fashionable embodiment. Using an iterative,...

Publication details
Date: 1 January 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Nihar B. Shah and Dengyong Zhou

Human computation or crowdsourcing involves joint inference of the ground-truth-answers and the worker abilities by optimizing an objective function, for instance, by maximizing the data likelihood based on an assumed underlying model. A variety of methods have been proposed in the literature to address this inference problem. As far as we know, none of the objective functions in existing methods is convex. In machine learning and applied statistics, a convex function such as the objective function of...

Publication details
Date: 1 January 2015
Type: Inproceeding
Publisher: AAAI - Association for the Advancement of Artificial Intelligence
Halley P Profita, Asta Roseway, and Mary Czerwinski

We present “Lightwear”, a series of garment-based, lightweight, light-emitting wearables designed to administer light therapy for on-the-go treatment of Seasonal Affective Disorder (SAD). Bright Light Therapy (BLT) has been used to treat SAD for more than 25 years. While light boxes continue to serve as the predominant method of treatment, it often requires a user to sit at a dedicated location for a sustained period of time (30-60 minutes), rendering therapy inconvenient and resulting in unsatisfactory...

Publication details
Date: 1 January 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Kenton O'Hara, Gerardo Gonzalez, Abigail Sellen, Graeme Penney, Varnavas, Helena Mentis, Antonio Criminisi, Robert Corish, Mark Rouncefield, Neville Dastur, and Tom Carrell
Publication details
Date: 1 December 2014
Type: Article
Larry Heck and Hongzhao Huang

This paper presents an unsupervised neural knowledge graph embedding model and a coherence-based approach for semantic parsing of Twitter dialogs. The approach learns embeddings directly from knowledge graphs and scales to all of Wikipedia. Experiments show a 23.6% reduction in semanticparsing errors compared to the previously best reported results.

Publication details
Date: 1 December 2014
Type: Inproceeding
Publisher: IEEE – Institute of Electrical and Electronics Engineers
Saleema Amershi, Maya Cakmak, W. Bradley Knox, and Todd Kulesza

Systems that can learn interactively from their end-users are quickly becoming widespread. Until recently, this progress has been fueled mostly by advances in machine learning; however, more and more researchers are realizing the importance of studying users of these systems. In this article we promote this approach and demonstrate how it can result in better user experiences and more effective learning systems. We present a number of case studies that demonstrate how interactivity results in a tight...

Publication details
Date: 1 December 2014
Type: Article
Publisher: AAAI - Association for the Advancement of Artificial Intelligence
Xiaohu Liu and Ruhi Sarikaya

Spoken language understanding (SLU) systems use various features to detect the domain, intent and semantic slots of a query. In addition to n-grams, features generated from entity dictionaries are often used in model training. Clean or properly weighted dictionaries are critical to improve model’s coverage and accuracy for unseen entities during test time. However, clean dictionaries are hard to obtain for some applications since they are automatically generated and can potentially contain millions of...

Publication details
Date: 1 December 2014
Type: Proceedings
Publisher: IEEE – Institute of Electrical and Electronics Engineers
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