Share on Facebook Tweet on Twitter Share on LinkedIn Share by email
Our research
Content type
+
Downloads (446)
+
Events (420)
 
Groups (144)
+
News (2640)
 
People (734)
 
Projects (1066)
+
Publications (12162)
+
Videos (5366)
Labs
Research areas
Algorithms and theory47205 (294)
Communication and collaboration47188 (190)
Computational linguistics47189 (193)
Computational sciences47190 (199)
Computer systems and networking47191 (702)
Computer vision208594 (883)
Data mining and data management208595 (78)
Economics and computation47192 (98)
Education47193 (81)
Gaming47194 (71)
Graphics and multimedia47195 (209)
Hardware and devices47196 (200)
Health and well-being47197 (81)
Human-computer interaction47198 (806)
Machine learning and intelligence47200 (791)
Mobile computing208596 (37)
Quantum computing208597 (20)
Search, information retrieval, and knowledge management47199 (635)
Security and privacy47202 (275)
Social media208598 (28)
Social sciences47203 (248)
Software development, programming principles, tools, and languages47204 (569)
Speech recognition, synthesis, and dialog systems208599 (92)
Technology for emerging markets208600 (27)
1–25 of 806
Sort
Show 25 | 50 | 100
1234567Next 
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
Toby Sharp, Cem Keskin, Duncan Robertson, Jonathan Taylor, Jamie Shotton, David Kim, Christoph Rhemann, Ido Leichter, Alon Vinnikov, Yichen Wei, Daniel Freedman, 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
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
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
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 – Association for Computing Machinery
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: Proceedings
Publisher: ACM – Association for Computing Machinery
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
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
Chuang R., Hall B.A., Benque D., Cook B., Ishtiaq S., Piterman N., Taylor A., Vardi M., Koschmieder S., Gottgens B., and Fisher J.
Publication details
Date: 1 January 2015
Type: Article
Publisher: Nature Publishing Group
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
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
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
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
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
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
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
Benjamin Livshits and George Kastrinis

Crowd-sourcing is increasingly being used for providing answers to online polls and surveys. However, existing systems, while taking care of the mechanics of attracting crowd workers, poll building, and payment, generally provide little by way of cost-management (e.g. working with a tight budget), time-management (e.g. obtaining results as quickly as possible), and controlling the margin of error (e.g. working on a sample population which is largely different from the general census statistics). The...

Publication details
Date: 14 November 2014
Type: Technical report
Number: MSR-TR-2014-145
Lucas Silva Figueiredo, Benjamin Livshits, David Molnar, and Margus Veanes
Publication details
Date: 14 November 2014
Type: Technical report
Number: MSR-TR-2014-146
Azadeh Forghani, Gina Venolia, and Kori Inkpen

Telephone calls and videoconferencing are ubiquitous parts of everyday life. As the content of the call may extend beyond just words, people share applications and media using techniques such as screen sharing and email attachments. Little is known about the prevalence of this behavior and the benefits it can provide. We conducted a survey and a lab study to examine media sharing during a video call and found that it can be useful as well as emotionally engaging. Participants indicated that they would...

Publication details
Date: 11 November 2014
Type: Inproceeding
Publisher: ACM
Neha Gupta, David Martin, Ben Hanrahan, and Jacki O'Neill

Previous studies on Amazon Mechanical Turk (AMT), the most well-known marketplace for microtasks, show that the largest population of workers on AMT is U.S. based, while the second largest is based in India. In this paper, we present insights from an ethnographic study conducted in India to introduce some of these workers or ‘Turkers’ – who they are, how they work and what turking means to them. We examine the work they do to maintain their reputations and their work-life balance. In doing this, we...

Publication details
Date: 9 November 2014
Type: Inproceeding
Publisher: ACM Conference on Supporting Groupwork
1–25 of 806
Sort
Show 25 | 50 | 100
1234567Next 
> Our research