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Creators/Authors contains: "Manduchi, Roberto"

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  1. Detecting and avoiding obstacles while navigating can pose a challenge for people with low vision, but augmented reality (AR) has the potential to assist by enhancing obstacle visibility. Perceptual and user experience research is needed to understand how to craft effective AR visuals for this purpose. We developed a prototype AR application capable of displaying multiple kinds of visual cues for obstacles on an optical see-through head-mounted display. We assessed the usability of these cues via a study in which participants with low vision navigated an obstacle course. The results suggest that 3D world-locked AR cues were superior to directional heads-up cues for most participants during this activity. 
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  2. null (Ed.)
    We present an experimental study assessing the ability of two RSSI-based methods at detecting inter- personal distances shorter than 1 meter or 2 meters. The first method uses the power received from the smartphone carried by another person, while the second one measures the disparity in the power received by the two smartphones from one or more fixed BLE beacons. Our results show that use of the RSSI disparity enables discrimination results that are as good or better than using the RSSI received from another smartphone. 
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  3. null (Ed.)
    Public transit has been affected disproportionately by the social distancing requirements consequent to the COVID-19 pandemic. Technologies such as effortless ticketing and crowdedness assessment have the potential to increase safety and instill confidence for transit users. One key component of these technologies is the ability to detect the presence of a passenger inside a bus vehicle, as well as their approximate location within the vehicle. We present a preliminary study demonstrating the potential of a system that uses Bluetooth Low Energy (beacons), placed inside a vehicle, to localize a passenger within the length of the vehicle with an accuracy better than 1 meter. Based on these preliminary results, we are working on a long-term experiment that will collect RSSI data from BLE beacons (as well as GPS and inertial data) from passengers using the transit system of our campus. 
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