Browsing by Subject "mobile computing"

Now showing 1 - 5 of 5
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    Advances in Mobile Communications and Computing
    (Hindawi, 2009) Durresi, Arjan; Denko, Mieso; Computer and Information Science, School of Science
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    Navigating the Aural Web
    (Office of the Vice Chancellor for Research, 2011-04-08) Bolchini, Davide
    The current paradigm of web navigation poses great obstacles to users in two eyes-free scenarios: mobile computing and information access for the visually-impaired. The common thread of these scenarios is the inability to efficiently navigate complex information architectures, due to the mechanical and cognitive limitations emerging while listening to instead of looking at information and navigation prompts. New paradigms for aural navigation design are still unexplored, yet they are crucial to address increasingly important requirements. Inspired by the effective practice of human-to-human aural dialogues, we present a work-in-progress research funded by a 3-year NSF grant that introduces innovative design strategies for aural navigation in complex information architectures typical of the web. Specifically, in this exhibit we introduce and demonstrate design patterns supporting aural back navigation in large collections, aimed at improving the efficiency and usability of aural navigation. Current evaluation thrusts of the new navigation techniques involve blind users accessing the web through screen readers and sighted users using a mobile application prototype.
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    Officer Perceptions of the Impact of Mobile Broadband Technology on Police Operations
    (Taylor and Francis, 2015) Carter, Jeremy G.; Grommon, Eric; School of Public and Environmental Affairs
    Research examining police departments' use of technology is underdeveloped relative to other areas of policing. This gap in the literature is troubling as policing models are becoming more data-driven and thus, relying more heavily on information technologies. Arguably, the most commonly utilised technology in policing practice, and examined in policing research, has been mobile computers. However, there has been little insight into the technological advancement in data communications that directly influence the functionality of mobile computers. This research seeks to inform this shortcoming by examining a police department that implemented a dedicated wireless mobile broadband system. A mixed-methods approach is employed within a medium-sized department in the northeast region of the USA. Survey data were gathered from 76 uniformed police personnel. Semi-structured interviews were conducted with key personnel to further contextualise survey results. Survey results suggest tentative support for improved time savings and execution of job tasks after the implementation of wireless broadband. Perceptions of mobile broadband impacts on information flow, quality, and accessibility appear positive. Considerations for future research and study limitations are discussed.
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    Semi-aural Interfaces: Investigating Voice-controlled Aural Flows
    (Oxford, 2016-11) Ghahari, Romisa Rohani; George-Palilonis, Jennifer; Gahangir, Hossain; Kaser, Lindsay; Bolchini, Davide; Department of Human-Centered Computing, School of Informatics and Computing
    To support mobile, eyes-free web browsing, users can listen to ‘playlists’ of web content— aural flows . Interacting with aural flows, however, requires users to select interface buttons, tethering visual attention to the mobile device even when it is unsafe (e.g. while walking). This research extends the interaction with aural flows through simulated voice commands as a way to reduce visual interaction. This paper presents the findings of a study with 20 participants who browsed aural flows either through a visual interface only or by augmenting it with voice commands. Results suggest that using voice commands reduced the time spent looking at the device by half but yielded similar system usability and cognitive effort ratings as using buttons. Overall, the low-cognitive effort engendered by aural flows, regardless of the interaction modality, allowed participants to do more non-instructed (e.g. looking at the surrounding environment) than instructed activities (e.g. focusing on the user interface).
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    WiFi-Enabled Smart Human Dynamics Monitoring
    (ACM, 2017-11) Guo, Xiaonan; Liu, Bo; Shi, Cong; Liu, Hongbo; Chen, Yingying; Chuah, Mooi Choo; Computer and Information Science, School of Science
    The rapid pace of urbanization and socioeconomic development encourage people to spend more time together and therefore monitoring of human dynamics is of great importance, especially for facilities of elder care and involving multiple activities. Traditional approaches are limited due to their high deployment costs and privacy concerns (e.g., camera-based surveillance or sensor-attachment-based solutions). In this work, we propose to provide a fine-grained comprehensive view of human dynamics using existing WiFi infrastructures often available in many indoor venues. Our approach is low-cost and device-free, which does not require any active human participation. Our system aims to provide smart human dynamics monitoring through participant number estimation, human density estimation and walking speed and direction derivation. A semi-supervised learning approach leveraging the non-linear regression model is developed to significantly reduce training efforts and accommodate different monitoring environments. We further derive participant number and density estimation based on the statistical distribution of Channel State Information (CSI) measurements. In addition, people's walking speed and direction are estimated by using a frequency-based mechanism. Extensive experiments over 12 months demonstrate that our system can perform fine-grained effective human dynamic monitoring with over 90% accuracy in estimating participants number, density, and walking speed and direction at various indoor environments.