Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleOctober 2022
Learning about VR in VR
XRDS: Crossroads, The ACM Magazine for Students (XRDS), Volume 29, Issue 1Pages 14–19https://doi.org/10.1145/3558189After 20 years of teaching about VR, we finally taught in VR. This article describes lessons learned from 263 students who spent 10 weeks in virtual reality together and a total of 200,000 shared minutes "in headset."
- research-articleApril 2022
Safer together: TraceTogether and the future of digital contact tracing
XRDS: Crossroads, The ACM Magazine for Students (XRDS), Volume 28, Issue 3Pages 48–55https://doi.org/10.1145/3522695A pioneer of digital contact tracing discusses the considerations that went into building the world's first national contact tracing app and ponders the future of the technology.
- research-articleSeptember 2019
Protecting privacy and open competition with Almond: An open-source virtual assistant
XRDS: Crossroads, The ACM Magazine for Students (XRDS), Volume 26, Issue 1Pages 40–44https://doi.org/10.1145/3355757Will Alexa and Google Assistant become the duopoly platforms on which consumers reach web services and IoTs verbally? With open and collaborative research, we can build the best open-source virtual assistant to ensure choice, privacy, and open ...
-
- research-articleSeptember 2017
Algorithms versus mechanisms: how to cope with strategic input?
XRDS: Crossroads, The ACM Magazine for Students (XRDS), Volume 24, Issue 1Pages 20–23https://doi.org/10.1145/3123736Online markets and platforms rely on human user decisions as inputs. This generates the challenge of managing user incentives and misbehaviors as strategic entities. Surprisingly, one can show that designers do not require much additional computational ...
- interviewDecember 2016
The context of on-demand work
XRDS: Crossroads, The ACM Magazine for Students (XRDS), Volume 23, Issue 2Pages 30–33https://doi.org/10.1145/3013494Two years of ethnographic fieldwork, in the U.S. and India, together with rich quantitative data, shine light on the world of on-demand work invisible to many of us, yet core to the functioning of the Internet and the future of automation.
- research-articleNovember 2015
What is the vergence-accommodation conflict and how do we fix it?
XRDS: Crossroads, The ACM Magazine for Students (XRDS), Volume 22, Issue 1Pages 52–55https://doi.org/10.1145/2810048The next wave of virtual reality technology might turn to light field displays to solve a dizzying problem.
- research-articleJuly 2015
Digital drivers in the age of massive datasets
XRDS: Crossroads, The ACM Magazine for Students (XRDS), Volume 21, Issue 4Pages 60–66https://doi.org/10.1145/2788518How technology enables the data geek in life sciences and healthcare.
- interviewJuly 2015
A conversation with Vijay Pande
XRDS: Crossroads, The ACM Magazine for Students (XRDS), Volume 21, Issue 4Pages 45–47https://doi.org/10.1145/2788510The director of Stanford University's Pande Lab discusses how his work with large-scale, distributed simulation is being used to study protein folding and its connection to disease.
- interviewJuly 2015
An interview with the director of biomedical informatics at Stanford
XRDS: Crossroads, The ACM Magazine for Students (XRDS), Volume 21, Issue 4Pages 20–23https://doi.org/10.1145/2788498Russ Altman discusses how computational biology is rapidly transforming clinical practice, particularly in his own field of pharmacogenomics.
- research-articleMarch 2015
Fully Homomorphic Encryption: Cryptography's holy grail
XRDS: Crossroads, The ACM Magazine for Students (XRDS), Volume 21, Issue 3Pages 24–29https://doi.org/10.1145/2730906For more than 30 years, cryptographers have embarked on a quest to construct an encryption scheme that would enable arbitrary computation on encrypted data. Conceptually simple, yet notoriously difficult to achieve, cryptography's holy grail opens the ...
- research-articleDecember 2014
Gathering people to gather data
XRDS: Crossroads, The ACM Magazine for Students (XRDS), Volume 21, Issue 2Pages 18–22https://doi.org/10.1145/2676566An interview with Paul Wicks, Vice President of Innovation at PatientsLikeMe, a patient network and real-time research platform.
- research-articleOctober 2014
Talking to computers in natural language
XRDS: Crossroads, The ACM Magazine for Students (XRDS), Volume 21, Issue 1Pages 18–21https://doi.org/10.1145/2659831Natural language understanding is as old as computing itself, but recent advances in machine learning and the rising demand of natural-language interfaces make it a promising time to once again tackle the long-standing challenge.
- departmentSeptember 2013
The New Firefox Cookie Policy
XRDS: Crossroads, The ACM Magazine for Students (XRDS), Volume 20, Issue 1Pages 16–17https://doi.org/10.1145/2524748Stanford grad student Jonathan Mayer discusses cookies, Web tracking, and changes to Mozilla's cookie policy.
- research-articleSeptember 2012
Interactive analysis of big data
XRDS: Crossroads, The ACM Magazine for Students (XRDS), Volume 19, Issue 1Pages 50–54https://doi.org/10.1145/2331042.2331058New user interfaces can transform how we work with big data, and raise exciting research problems that span human-computer interaction, machine learning, and distributed systems.
- research-articleSeptember 2012
- research-articleSeptember 2012
An interview with Surajit Chaudhuri
XRDS: Crossroads, The ACM Magazine for Students (XRDS), Volume 19, Issue 1Pages 38–39https://doi.org/10.1145/2331042.2331055Surajit Chaudhuri, Distinguished Scientist and head of the Extreme Computing Group (XCG) at Microsoft Research, Redmond provides valuable insights for revisiting data analytics in the context of big data.