Ambient Intelligence

💡 We conduct a meta-analysis of scientific contributions in assistive technology, systems, and applications designed for people with motor disabilities and/or limited mobility at the intersection of Ambient Intelligence and Mixed Reality environments. Our findings show that most of the scientific contributions have focused on navigation, rehabilitation, and video games; systems outnumber user studies; and the most frequently implemented attributes of Ambient Intelligence environments have been sensitivity, responsiveness, and adaptation. Our survey also shows that work at the intersection of Ambient Intelligence and Mixed Reality for people with motor disabilities has been scarce despite the opportunities enabled by these two research areas in conjunction to increase access to digital information and services.

💡 We introduce Tap4Light, an interaction technique for controlling smart lighting systems with finger tapping gestures captured with a five-finger augmentation device. Tap4Light employs simple tap input that, when combined across all of the five fingers of the hand, enables a rich gesture vocabulary for controlling applications, systems, and services in the context of Ambient Intelligence environments. We demonstrate Tap4Light with a set of eleven tap gestures, the Tap Strap 2 wearable, and Philips Hue smart lamps.