{"id":356363,"date":"2017-01-20T16:03:34","date_gmt":"2017-01-21T00:03:34","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&p=356363"},"modified":"2017-06-16T10:25:27","modified_gmt":"2017-06-16T17:25:27","slug":"intellidrive-intelligent-management-of-attention-in-automotive-environments","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/intellidrive-intelligent-management-of-attention-in-automotive-environments\/","title":{"rendered":"IntelliDrive – Intelligent Management of Attention in Automotive Environments"},"content":{"rendered":"
Driver attention is a valuable commodity in maintaining driving safety. However, with the proliferation of many interactive devices that place demands on the driver’s attention while driving, effectively allocating attention with the primary goal of managing driving safety presents substantial challenges. With the\u00a0promise of having semi-autonomous vehicles on the road in the near future followed by a transition to fully autonomous vehicles, we are entering an exciting period of exploration and understanding how\u00a0drivers\u00a0adapt to\u00a0unpredictable demands on attention. \nOur research investigates new techniques for proactive mediation of driver attention. We focus on ensuring that driving safety is maintained at all costs by directing the driver’s attention towards upcoming events in the driving\u00a0 scene if the driver is engaged in other peripheral tasks. Our research brings together artificial intelligence and human computer interaction in addressing problems such as developing\u00a0models to predict\u00a0driver attention and reaction to events on the road, developing\u00a0awareness mechanisms that provide situation awareness and just-in-time notifications for drivers to safely take over driving control and determine opportune moments to suggest\u00a0activities for the driver.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n |