A Japanese company has recreated a tropical beach in the very reception area they also use as their employee meeting space and staff lounge.
Jibo is a new robot from MIT roboticist Cynthia Breazeal. It is designed to be a social robot that you interact with like it’s another person in your home. The 28-centimetre, 3-kilogram “sociable robot” snaps family photos, handles video calling and acts as a digital concierge. Connected wirelessly to the Internet, Jibo sifts through messages, organizes your itinerary and orders takeout.
What people say about Jibo:
"JIBO's potential extends far beyond engaging in casual conversation and completing daily tasks." - Katie Couric, Yahoo News
"A Robot with a Little Humanity" - John Markoff, New York Times
"JIBO isn't an appliance, it's a companion, one that can interact and react with its human owners in ways that delight instead of disturb." - Lance Ulanoff, Mashable
"Move over, Siri, the JIBO robot is coming" - Maggie Lake, CNN
"This Friendly Robot Could One Day Be Your Family's Personal Assistant" - Christina Bonnington, WIRED
Detecting awareness in patients with disorders of consciousness using a hybrid brain-computer interface.
J Neural Eng. 2014 Aug 1;11(5):056007
Authors: Pan J, Xie Q, He Y, Wang F, Di H, Laureys S, Yu R, Li Y
Abstract. Objective. The bedside detection of potential awareness in patients with disorders of consciousness (DOC) currently relies only on behavioral observations and tests; however, the misdiagnosis rates in this patient group are historically relatively high. In this study, we proposed a visual hybrid brain-computer interface (BCI) combining P300 and steady-state evoked potential (SSVEP) responses to detect awareness in severely brain injured patients. Approach. Four healthy subjects, seven DOC patients who were in a vegetative state (VS, n = 4) or minimally conscious state (MCS, n = 3), and one locked-in syndrome (LIS) patient attempted a command-following experiment. In each experimental trial, two photos were presented to each patient; one was the patient's own photo, and the other photo was unfamiliar. The patients were instructed to focus on their own or the unfamiliar photos. The BCI system determined which photo the patient focused on with both P300 and SSVEP detections. Main results. Four healthy subjects, one of the 4 VS, one of the 3 MCS, and the LIS patient were able to selectively attend to their own or the unfamiliar photos (classification accuracy, 66-100%). Two additional patients (one VS and one MCS) failed to attend the unfamiliar photo (50-52%) but achieved significant accuracies for their own photo (64-68%). All other patients failed to show any significant response to commands (46-55%). Significance. Through the hybrid BCI system, command following was detected in four healthy subjects, two of 7 DOC patients, and one LIS patient. We suggest that the hybrid BCI system could be used as a supportive bedside tool to detect awareness in patients with DOC.
Mindfulness-Based Stress Reduction as a Stress Management Intervention for Healthy Individuals: A Systematic Review.
J Evid Based Complementary Altern Med. 2014 Jul 22; Authors: Sharma M, Rush SE
Stress is a global public health problem with several negative health consequences, including anxiety, depression, cardiovascular disease, and suicide. Mindfulness-based stress reduction offers an effective way of reducing stress by combining mindfulness meditation and yoga in an 8-week training program. The purpose of this study was to look at studies from January 2009 to January 2014 and examine whether mindfulness-based stress reduction is a potentially viable method for managing stress. A systematic search from Medline, CINAHL, and Alt HealthWatch databases was conducted for all types of quantitative articles involving mindfulness-based stress reduction. A total of 17 articles met the inclusion criteria. Of the 17 studies, 16 demonstrated positive changes in psychological or physiological outcomes related to anxiety and/or stress. Despite the limitations of not all studies using randomized controlled design, having smaller sample sizes, and having different outcomes, mindfulness-based stress reduction appears to be a promising modality for stress management.
Modulation of functional network with real-time fMRI feedback training of right premotor cortex activity.
Neuropsychologia. 2014 Jul 21;
Authors: Hui M, Zhang H, Ge R, Yao L, Long Z
Abstract. Although the neurofeedback of real-time fMRI can reportedly enable people to gain control of the activity in the premotor cortex (PMA) during motor imagery, it is unclear how the neurofeedback training of PMA affect the motor network engaged in the motor execution (ME) and imagery (MI) task. In this study, we investigated the changes in the motor network engaged in both ME and MI task induced by real-time neurofeedback training of the right PMA. The neurofeedback training induced changes in activity of the ME-related motor network as well as alterations in the functional connectivity of both the ME-related and MI-related motor networks. Especially, the percent signal change of the right PMA in the last training run was found to be significantly correlated with the connectivity between the right PMA and the left posterior parietal lobe (PPL) during the pre-training MI run, post-training MI run and the last training run. Moreover, the increase in the tapping frequency was significantly correlated with the increase of connectivity between the right cerebellum and the primary motor area / primary sensory area (M1/S1) of the ME-related motor network after neurofeedback training. These findings show the importance of the connectivity between the right PMA and left PPL of the MI network for the up-regulation of the right PMA as well as the critical role of connectivity between the right cerebellum and M1/S1 of the ME network in improving the behavioral performance.