Current navigation systems for motor cyclists use visual or auditory cues for guidance. However, this poses a challenge to the motorcyclists since their visual and auditory channels are already occupied with controlling the motorbike, paying attention to other road users, and planing the next turn. In this work, we explore how tactile feedback can be used to guide motorcyclists. We present MOVING (MOtorbike VIbrational Navigation Guidance), a smart kidney belt that presents navigation cues through 12 vibration motors. In addition, we report on the design process of this wearable and on an evaluation with 16 participants in a real world riding setting. We show that MOVING outperforms off-the-shelf navigation systems in terms of turn errors and distraction.

Although a large number of navigation support systems for visually impaired people have been proposed in the past, navigating through unknown environments is still a major challenge for visually impaired travelers. Existing systems provide navigation information through headphones, speakers or tactile actuators. In this paper, we propose to use small lightweight quadcopters instead to provide navigation information for people with visual impairments. Using a leashed or free-floating quadcopter, the user is navigated by the distinct sound that the quadcopter emits and a haptic stimulus provided by the leash. In a user with 14 visually impaired participants, we compared leashed quadcopter navigation, free-floating quadcopter navigation, and traditional audio navigation. The results show that compared to audio navigation, participants navigate significantly faster with a free-floating quadcopter and make fewer navigation errors using the quadcopter navigation methods.

Visual exploration of large image data sets is a common and widely performed task. With the ubiquity of cameras, personal image collections are growing. Even when working with large high-resolution displays, collections are typically too large to display all images. In this work, we present two full-body, hands-free zooming interaction techniques for image exploration on large high-resolution displays that allow users to freely move in front of the display. We compare these techniques with state-of-the-art image browsing, where a large number of images is presented in a static grid. The first technique selects and enlarges whole columns by full-body-tracking of the user. The second technique additionally uses the height of the users head to select a single picture as a focus point. The results show that novel interaction techniques and visualizations for image sets on large high-resolution displays are required and can enhance the advantages of such displays.