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Robin Brewer, Meredith Ringel Morris, and Anne Marie Piper

Diversifying participation in crowd work can benefit the worker and requester. Increasing numbers of older adults are online, but little is known about their awareness of or how they engage in mainstream crowd work. Through an online survey with 505 seniors, we found that most have never heard of crowd work but would be motivated to complete tasks by earning money or working on interesting or stimulating tasks. We follow up results from the survey with interviews and observations of 14 older adults...

Publication details
Date: 1 May 2016
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Nathan Dowlin, Ran Gilad-Bachrach, Kim Laine, Kristin Lauter, Michael Naehrig, and John Wernsing

Applying machine learning to a problem which involves medical, financial, or other types of sensitive data, not only requires accurate predictions but also careful attention to maintaining data privacy and security. Legal and ethical requirements may prevent the use of cloud-based machine learning solutions for such tasks. In this work, we will present a method to convert learned neural networks to CryptoNets, neural networks that can be applied to encrypted data. This allows a data owner to...

Publication details
Date: 8 February 2016
Type: Technical report
Publisher: Microsoft Research
Number: MSR-TR-2016-3
Lilian de Greef, Meredith Ringel Morris, and Kori Inkpen Quinn

People can have experiences through video calls that are otherwise inaccessible. For example, someone who cannot leave the home may wish to experience visiting the zoo. We present TeleTourist, a system that uses video calls with strangers to share experiences for people with mobility restrictions. We designed TeleTourist to enhance immersion and personalization, as well as help balance the relationship between participants of the video calls. We discuss features we have implemented or envisioned for...

Publication details
Date: 1 February 2016
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Publication details
Date: 1 February 2016
Type: Article
Nathan Dowlin, Ran Gilad-Bachrach, Kim Laine, Kristin Lauter, Michael Naehrig, and John Wernsing

Biological Data Science is an emerging field facing multiple challenges for hosting, sharing, computing on, and interacting with large data sets. Privacy regulations and concerns about the risks of leaking sensitive personal health and genomic data add another layer of complexity to the problem. Recent advances in cryptography over the last 5 years have yielded a tool, homomorphic encryption which can be used to encrypt data in such a way that storage can be outsourced to an untrusted cloud,...

Publication details
Date: 13 November 2015
Type: Technical report
Publisher: Microsoft Research
Number: MSR-TR-2015-87
Meredith Ringel Morris, Andrew Begel, and Ben Wiedermann

Technology workers are often stereotyped as being socially awkward or having difficulty communicating, often with humorous intent; however, for many technology workers with atypical cognitive profiles, such issues are no laughing matter. In this paper, we explore the hidden lives of neurodiverse technology workers, e.g., those with autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), and/or other learning disabilities, such as dyslexia. We present findings from interviews...

Publication details
Date: 1 October 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
Awards: Best Paper Award
Vasileios Lampos, Elad Yom-Tov, Richard Pebody, and Ingemar J. Cox

Assessing the effect of a health-oriented intervention by traditional epidemiological methods is commonly based only on population segments that use healthcare services. Here we introduce a complementary framework for evaluating the impact of a targeted intervention, such as a vaccination campaign against an infectious disease, through a statistical analysis of usergenerated content submitted on web platforms. Using supervised learning, we derive a nonlinear regression model for estimating the...

Publication details
Date: 7 September 2015
Type: Article
Publisher: Springer
, Yuliya Lutchyn, Paul Johns, Asta Roseway, and Mary Czerwinski

Accurate and timely assessment of collective emotions in the workplace is a critical managerial task. However, perceptual, normative, and methodological challenges make it very difficult even for the most experienced organizational leaders. In this paper we present a MoodTracker - a technological solution that can help to overcome these challenges, and facilitate a continuous monitoring of the collective emotions in large groups in real-time. The MoodTracker is a program that runs on any PC device, and...

Publication details
Date: 1 September 2015
Type: Inproceeding
Publisher: ACII 2016: Affective Computing and Intelligent Interaction, 2015 International Conference on
Yoli Shavit, Boyan Yordanov, Sara-Jane Dunn, Christoph M. Wintersteiger, Youssef Hamadi, and Hillel Kugler

A fundamental question in biology is how cells change into specific cell types with unique roles throughout development. This process can be viewed as a program prescribing the system dynamics, governed by a network of genetic interactions. Recent experimental evidence suggests that these networks are not fixed but rather change their topology as cells develop. Currently, there are limited tools for the construction and analysis of such self-modifying biological programs. We introduce Switching Gene...

Publication details
Date: 1 September 2015
Type: Inproceeding
Publisher: Springer
Akane Sano, Paul Johns, and Mary Czerwinski

We developed a feedback-loop, user-tailored advice system to provide stress interventions and advice about improving sleep, diet, and exercise habits at the workplace. Thirty participants joined a 2 week study: in the first week, we collected their behaviors about sleep, diet, exercise and stress levels using Fitbit and surveys. During the second week we continued monitoring, and based on the participants’ measurements in the previous days, we also provided interventions and advice during the workday,...

Publication details
Date: 1 September 2015
Type: Inproceeding
Publisher: ACII 2016: Affective Computing and Intelligent Interaction, 2015 International Conference on
Akane Sano, Paul Johns, and Mary Czerwinski

We developed a feedback-loop, user-tailored advice system to provide stress interventions and advice about improving sleep, diet, and exercise habits at the workplace. Thirty participants joined a 2 week study: in the first week, we collected their behaviors about sleep, diet, exercise and stress levels using Fitbit and surveys. During the second week we continued monitoring, and based on the participants' measurements in the previous days, we also provided interventions and advice during the workday,...

Publication details
Date: 1 September 2015
Type: Inproceeding
Publisher: ACII 2016: Affective Computing and Intelligent Interaction, 2015 International Conference on
Anonymous ACII submission, Yuliya Lutchyn, Paul Johns, Mary Czerwinski, Shamsi Iqbal, Gloria Mark, and Akane Sano

Despite a long history and a large volume of affective research, measuring affective states is still a non-trivial task that is complicated by numerous conceptual and methodological decisions that the researcher has to make. We suggest that inconsistent results reported in some areas of research can be partially explained by the choice of measurements that capture different manifestations of affective phenomena, or focus on different elements of affective processes. In the present study we examine one...

Publication details
Date: 1 September 2015
Type: Inproceeding
Morgan Walker, Laura Thornton, Munmun De Choudhury, Jaime Teevan, Cynthia M. Bulik, Cheri A. Levinson, and Stephanie Zerwas

Purpose

Disordered eating behavior—dieting, laxative use, fasting, binge eating—is common in college-aged women (11%–20%). A documented increase in the number of young women experiencing eating psychopathology has been blamed on the rise of engagement with social media sites such as Facebook. We predicted that college-aged women's Facebook intensity (e.g., the amount of time spent on Facebook, number of Facebook friends, and integration of Facebook into daily life), online physical appearance...

Publication details
Date: 1 August 2015
Type: Article
Publisher: Elsevier
Gordon Bell

Ideally, if enough were known about all the variables affecting heart rate, the time of the next beat could be known. Of course this means knowing: the environment e.g. temperature, air density, wind, air quality; activity level e.g. sleeping, sitting, standing, walking, running, biking, rowing; diet and digestive loads including stimulants; physical health including allergies, sicknesses, and chronic ailments e.g. asthma, bronchitis; and all the kinds and levels of stress. I’ve observed all of these...

Publication details
Date: 17 June 2015
Type: Technical report
Publisher: Microsoft Research
Number: MSR-TR-2015-53
Elad Yom-Tov

Syndromic surveillance refers to the analysis of medical information for the purpose of detecting outbreaks of disease earlier than would have been possible otherwise and to estimate the prevalence of the disease in a population. Internet data, especially search engine queries and social media postings, have shown promise in contributing to syndromic surveillance for in uenza and dengue fever. Here we focus on the recent outbreak of Ebola Virus Disease and ask whether three major sources of Internet...

Publication details
Date: 18 May 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
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
Gloria Mark, shamsi iqbal, mary czerwinski, and paul johns

While distractions using digital media have received

attention in HCI, understanding engagement in workplace

activities has been little explored. We logged digital activity

and continually probed perspectives of 32 information

workers for five days in situ to understand how attentional

states change with context. We present a framework of how

engagement and challenge in work relate to focus, boredom,

and rote work. Overall, we find more focused...

Publication details
Date: 1 March 2015
Type: Proceedings
Publisher: Proceedings of ACM CSCW 2014
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
Asta Roseway, Yuliya Lutchyn, Paul Johns, Elizabeth Mynatt, and Mary Czerwinski

In this paper we present the BioCrystal – a biofeedback device that uses physiological data to evaluate user’s affective states in real-time and signals the states via an ambient display. We evaluated the BioCrystal during a 2-week, in situ multi-method study during which ten users collected over 115 hours of usable data. Users’ comments suggested high utility of such a biofeedback device for self-awareness, stress-management and interpersonal communication. Quantitative data confirmed that the...

Publication details
Date: 1 March 2015
Type: Article
Elad Yom-Tov, Ingemar Johansson Cox, and Vasileios Lampos

Surveys show that around 70% of US Internet users consult the Internet when they require medical information. People seek this information using both traditional search engines and via social media. The information created using the search process offers an unprecedented opportunity for applications to monitor and improve the quality of life of people with a variety of medical conditions. In recent years, research in this area has addressed public-health questions such as the effect of media on...

Publication details
Date: 2 February 2015
Type: Inproceeding
Publisher: ACM – Association for Computing Machinery
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
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
Michael J. Paul, Ryen W. White, and Eric Horvitz

We seek to understand the evolving needs of people who are faced with a life-changing medical diagnosis based on analyses of queries extracted from an anonymized search query log. Focusing on breast cancer, we manually tag a set of Web searchers as showing disruptive shifts in focus of attention and long-term patterns of search behavior consistent with the diagnosis and treatment of breast cancer. We build and apply probabilistic classifiers to detect these searchers from multiple sessions and to detect...

Publication details
Date: 15 November 2014
Type: Technical report
Publisher: Microsoft Research
Number: MSR-TR-2014-144
Mohammed Shoaib, Jie Liu, and Matthai Phillipose

High functional complexity is leading us towards new architectures for sensing systems. Multi-tiered design is one among the many emerging alternatives. Such architectures bring new opportunities for effective system-level power management. For instance, varying one/more tier-level parameters can provide substantial end-to-end energy scaling. In this paper, we review an existing approach that shows how one such parameter, namely data compression, can help us scale energy at the cost of algorithmic...

Publication details
Date: 14 September 2014
Type: Inproceeding
Publisher: IEEE – Institute of Electrical and Electronics Engineers
Nicolo Fusi, Christoph Lippert, Neil D Lawrence, and Oliver Stegle
Publication details
Date: 1 September 2014
Type: Article
Publisher: Nature Publishing Group
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