68 research outputs found

    Domino: exploring mobile collaborative software adaptation

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    Social Proximity Applications (SPAs) are a promising new area for ubicomp software that exploits the everyday changes in the proximity of mobile users. While a number of applications facilitate simple file sharing between co–present users, this paper explores opportunities for recommending and sharing software between users. We describe an architecture that allows the recommendation of new system components from systems with similar histories of use. Software components and usage histories are exchanged between mobile users who are in proximity with each other. We apply this architecture in a mobile strategy game in which players adapt and upgrade their game using components from other players, progressing through the game through sharing tools and history. More broadly, we discuss the general application of this technique as well as the security and privacy challenges to such an approach

    HCI at the boundary of work and life

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    The idea behind this Special Issue originates in a workshop on HCI and CSCW research related to work and non-work-life balance organized in conjunction with the ECSCW 2013 conference by the issue co-editors. Fifteen papers were originally submitted for possible inclusion in this Special Issue, and four papers were finally accepted for publication after two rounds of rigorous peer review. The four accepted papers explore, in different ways, HCI at the boundary of work and life. In this editorial, we offer a description of the overall theme and rationale for the Special Issue, including an introduction on the topic relevance and background, and a reflection on how the four accepted papers further current research and debate on the topic

    Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources

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    © 2017, The Author(s). This paper presents a conceptual framework and multi-agent model for context-aware decision support in dynamic smart environments based on heterogeneous knowledge sources. A Protégé plug-in for rules extraction from distributed ontologies has been developed, which allows us to model context-aware agents using the notion of multi-context systems. Extracted rules can be annotated to match the users’ needs and to develop a preference model to support their preferences so as to provide a user with a more personalized services. The use of the proposed framework is illustrated using a simple fact-based preference model developed from ontologies considering two different smart environment domains

    The domestic panopticon: location tracking in families

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    We present a qualitative study examining Location-Based Service (LBS) usage by families and how it is integrated into everyday life. We establish that LBS, when used for tracking purposes, affords a means of digital nurturing; that said, we discuss how LBS surveillance has the potential to undermine trust and serve as a detriment to nurturing

    Forensic Analysis of the TomTom Navigation Application

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    Part 3: Mobile Device ForensicsInternational audienceExactly where an individual has been is important when attempting to forensically reconstruct an incident. With the advent of portable navigation systems and mobile phones, information about where a person has been is recorded more comprehensively than ever before. This paper focuses on the data recorded by the Android TomTom Navigation Application. It also describes how mobile device usage data can assist a digital forensic practitioner in determining where the device has been

    Assessing Demand for Intelligibility in Context-Aware Applications

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    Intelligibility can help expose the inner workings and inputs of context-aware applications that tend to be opaque to users due to their implicit sensing and actions. However, users may not be interested in all the information that the applications can produce. Using scenarios of four real-world applications that span the design space of context-aware computing, we conducted two experiments to discover what information users are interested in. In the first experiment, we elicit types of information demands that users have and under what moderating circumstances they have them. In the second experiment, we verify the findings by soliciting users about which types they would want to know and establish whether receiving such information would satisfy them. We discuss why users demand certain types of information, and provide design implications on how to provide different intelligibility types to make context-aware applications intelligible and acceptable to users

    Location-based services

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    From awareness to repartee: sharing location within social groups

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    This paper investigates emergent practices around 'microblogging', changing and sharing status within a social group. We present results from a trial of 'Connecto', a phone based status and location sharing application that allows a group to 'tag' areas and have individuals' locations shared automatically on a mobile phone. In use the system moved beyond being an awareness tool to a way of continuing the ongoing 'story' of conversations within the group. Through sharing status and location the system supported each groups' ongoing repartee - a site for social exchange, enjoyment and friendship
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