Wednesday, 6 of May of 2015

Category » Computer Science

Jacob Comments on Interface Technology for Tech Review

In an article published in MIT Tech Review, Professor Rob Jacob in the Department of Computer Science commented on a new 3D interface called “Leap Motion” that allows users to gesture to interact with their computers.

According to the company, since the launch of the product in late July, users have downloaded more than 1 million apps that connect with the technology.

MIT Tech Review reports, “Yet after one month and a raft of ‘meh’ product reviews citing problems like difficulty controlling apps and tired arms, the sardine-can-sized gadget—which connects to a computer’s USB port and tracks the movement of your hands and fingers as they move above its sensor—seems to have lost its steam.”

“Things involving human-computer interfaces often move extremely slowly. It may take a while before the Leap reaches its full potential,” Jacob, told Tech Review.

This story was first reported in MIT TechReview, August 29, 2013, by Rachel Metz.

Multitasking Overload and HCI Intervention

In an article on “The new workforce: Distracted and Drowning in Info“,  Steve Yoder writes:

“[T]here’s a growing body of research indicating that multi-tasking cuts into performance. Videogamers, who might be expected to have highly developed attention-switching skills, perform worse when multitasking than they do otherwise, according to a study in the July issue of the research journal Attention, Perception, & Psychophysics. And a study in the Proceedings of the National Academy of Sciences found that multitasking took a toll on the short-term memories of people between the ages of 60 and 80.”

Yoder references work conducted by Computer Science Professor Rob Jacob who has developed a wearable brain scanner that detects when workers are overwhelmed with multitasking and offloads some of the work to a computer. Jacob’s research in real-time measurement and machine learning classification of functional near infrared spectroscopy (fNIRS) brain data leads has allowed him to develop, use, and evaluate brain measurement as input to adaptable user interfaces for the larger population.