CACM Reports: Security and Privacy in Augmented Reality
April 2014 Issue Reports on MOOC Student Behaviors; the Power of Small Data; Personalized Cancer Treatments
The Association for Computing Machinery
Advancing Computing as a Science & Profession
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In this month’s cover story, the commercial innovations enabled by augmented reality (AR) technologies are shadowed by unforeseen computer security and privacy risks, report researchers from the University of Washington and Microsoft Research. They distinguish between virtual reality systems involving simulation, and AR systems, which power devices beyond the mobile phone that enhance sensing, display, and data sharing. Citing both unique obstacles and promising opportunities raised by AR applications, they argue that now is the time to consider security and privacy issues, while the technologies are still young and malleable.
collected in Massive Open Online Courses (MOOCs) showed that students spent the
most time per week interacting with lecture videos and homework, according to
researchers who studied participants in the first course in MITx (now edX)
Spring 2012 term. The study provides insight into student behavior, from weekly
e-textbook reading habits to context-dependent use of learning resources when
- Deborah Estrin and her colleagues at Open mHealth and Cornell Tech are building prototypes that demonstrate the power of small n=me data. They are working on a new kind of cloud-based app that would create a picture of one’s health over time by continuously, securely, and privately analyzing the digital traces we generate as we work, shop, sleep, eat, exercise, and communicate.
- Using population-scale databases to collate and process patient information, health organizations in Europe and the U.S. are pushing ahead with plans that they anticipate will not just improve treatments and survival chances for cancer suffers. They also expect this approach will drive the development of new therapies, reports U.K.-based writer Chris Edwards.
- Following a European Union ban on using animals to test the safety of cosmetic ingredients, new models are being developed to replace animal testing. Instead of relying on structural similarities, an industry trade group initiative will base toxicity predictions on actual biological mechanisms of action using laboratory and computer modeling.
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