Daniel Akst of The Wall Street Journal writes about the wearable device developed by CSAIL researchers that can detect the emotional tone of a conversation. The researchers “are pushing the boundaries by training a computer to take account of such a wide range of factors in making judgments about emotion,” writes Akst.
Science Friday reporter Ira Flatow and Motherboard reporter Daniel Oberhaus discuss a wearable device developed by CSAIL researchers that can detect the emotional tone of a conversation. Oberhaus explains that the researchers hope the device could one day be “applied with much finer emotional granularity, to the point where you can tell if the story was exciting or funny.”
Wall Street Journal reporter Daniel Akst writes that MIT researchers have developed a way to “tap into the insight of the expert minority within a crowd—a minority whose views would otherwise be swamped in a simple majority vote or poll.” The technique significantly enhanced “the wisdom of crowds, reducing errors by more than 20%.”
BBC reporter Lorelei Mihala highlights DriveWell, an app developed by Profs. Hari Balakrishnan and Sam Madden, aimed at addressing the problem of distracted driving. “We wanted to show that smartphones could be used to make drivers better,” says Balakrishnan.
Boston Herald reporter Jordan Graham writes that the McGovern Institute has established a new center focused on autism research, thanks to a gift from Lisa Yang and Hock Tan ’75 SM ’75. Graham explains that the center will “focus on trying to make significant jumps through new technologies such as gene editing with CRISPR/Cas9.”
MIT is launching a center for autism research at the McGovern Institute with $20 million in funding from MIT alumnus Hock Tan and Lisa Yang, writes Barb Darrow for Fortune. Darrow writes that Yang told Fortune she was "greatly impressed by both the collegiality and focus of the institute's researchers.”
CSAIL researchers have developed a wearable AI system that allows users to detect the tone of a conversation in real-time, reports Janet Burns for Forbes. Using two algorithms to analyze data, the researchers were able to “classify each five-second chunk of conversation as positive, neutral, or negative,” explains Burns.
Dan Misener of CBC News writes that a wearable device developed by MIT researchers detects the tone of conversation by listening to the interaction and measuring the physiological responses of the user. “All of that data is fed into a neural network that's been trained to identify certain cues,” explains Misener.
CSAIL researchers have developed a wearable system that can gauge the tone of a conversation based on a person’s speech patterns and vitals with 83 percent accuracy, writes Brian Barrett for Wired. The system could be useful for people with social anxiety or Asperger’s, Barrett explains.
Hallie Smith writes for Boston Magazine that CSAIL researchers have developed a system that can help detect of the tone of a conversation. The system could be especially useful “for those who struggle with emotional and social cues, such as individuals with Asperger’s Syndrome,” Smith explains.
An algorithm developed by MIT researchers helps extract the correct answer from a large group of people even when the majority of people answer incorrectly, writes Erin Ross for Nature. While previous assumptions viewed the average opinion of a crowd as correct, the algorithm identifies “specialists with special knowledge, like doctors,” explains Prof. Dražen Prelec.
Scientific American reporter Simon Makin writes that MIT researchers have developed a new approach to extract correct answers from a crowd. “The new method performed better than majority or confidence-based methods alone, reducing errors by between 21 and 35 percent,” Makin explains.
CSAIL researchers have a developed a system that can predict human emotions by using wireless signals to monitor breathing and heartbeats, writes Edd Gent in a Scientific American article. "The idea is that you can enable machines to recognize our emotions so they can interact with us at much deeper levels," says graduate student Fadel Adib.
To encourage safer driving in Boston, Mayor Martin Walsh has announced a competition that uses a smartphone app developed by MIT startup Cambridge Telematics to reward driver performance, reports Dante Ramos for The Boston Globe. The app gives motorists “star ratings if they stay off their phones; drive at reasonable speeds; and brake, accelerate, and turn carefully.”
CSAIL researcher have created a device that uses changes in heart beat and breathing to detect emotions, writes Forbes’ Kevin Murnane. The heart of the system,” writes Murnane, “is the algorithm that extracts the heartbeat from the RF signal. It’s an impressive achievement that solves a difficult problem.”