3,692 research outputs found

    Pervasive Technologies and Support for Independent Living

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    A broad range of pervasive technologies are used in many domains, including healthcare: however, there appears to be little work examining the role of such technologies in the home, or the different wants and needs of elderly users. Additionally, there exist ethical issues surrounding the use of highly personal healthcare-related data, and interface issues centred on the novelty of the technologies and the disabilities experienced by the users. This report examines these areas, before considering the ways in which they might come together to help support independent-living users with disabilities which may be age-related

    The Internet of Things Connectivity Binge: What are the Implications?

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    Despite wide concern about cyberattacks, outages and privacy violations, most experts believe the Internet of Things will continue to expand successfully the next few years, tying machines to machines and linking people to valuable resources, services and opportunities

    Understanding Circumstances for Desirable Proactive Behaviour of Voice Assistants: The Proactivity Dilemma

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    The next major evolutionary stage for voice assistants will be their capability to initiate interactions by themselves. However, to design proactive interactions, it is crucial to understand whether and when this behaviour is considered useful and how desirable it is perceived for different social contexts or ongoing activities. To investigate people's perspectives on proactivity and appropriate circumstances for it, we designed a set of storyboards depicting a variety of proactive actions in everyday situations and social settings and presented them to 15 participants in interactive interviews. Our findings suggest that, although many participants see benefits in agent proactivity, such as for urgent or critical issues, there are concerns about interference with social activities in multi-party settings, potential loss of agency, and intrusiveness. We discuss our implications for designing voice assistants with desirable proactive features

    Chameleon Devices: Investigating More Secure and Discreet Mobile Interactions via Active Camouflaging

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    Many users value the ability to have quick and frequent sight of their mobiles when in public settings. However, in doing so, they expose themselves to potential risks, ranging from being targets of robbery to the more subtle social losses through being seen to be rude or inattentive to those around them. In nature, some animals can blend into their environments to avoid being eaten or to reduce their impact on the ecosystem around them. Taking inspiration from these evolved systems we investigate the notion of chameleon approaches for mobile interaction design. Our probes were motivated, inspired and refined through extended interactions with people drawn from contexts with differing ranges of security and privacy concerns. Through deployments on users’ own devices, our prototypes show the value of the concept. The encouraging results motivate further research in materials and form factors that can provide more effective automatic plain-sight hiding

    Personalised privacy in pervasive and ubiquitous systems

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    Our world is edging closer to the realisation of pervasive systems and their integration in our everyday life. While pervasive systems are capable of offering many benefits for everyone, the amount and quality of personal information that becomes available raise concerns about maintaining user privacy and create a real need to reform existing privacy practices and provide appropriate safeguards for the user of pervasive environments. This thesis presents the PERSOnalised Negotiation, Identity Selection and Management (PersoNISM) system; a comprehensive approach to privacy protection in pervasive environments using context aware dynamic personalisation and behaviour learning. The aim of the PersoNISM system is twofold: to provide the user with a comprehensive set of privacy protecting tools and to help them make the best use of these tools according to their privacy needs. The PersoNISM system allows users to: a) configure the terms and conditions of data disclosure through the process of privacy policy negotiation, which addresses the current “take it or leave it” approach; b) use multiple identities to interact with pervasive services to avoid the accumulation of vast amounts of personal information in a single user profile; and c) selectively disclose information based on the type of information, who requests it, under what context, for what purpose and how the information will be treated. The PersoNISM system learns user privacy preferences by monitoring the behaviour of the user and uses them to personalise and/or automate the decision making processes in order to unburden the user from manually controlling these complex mechanisms. The PersoNISM system has been designed, implemented, demonstrated and evaluated during three EU funded projects

    You, Me, and IoT: How Internet-Connected Consumer Devices Affect Interpersonal Relationships

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    Internet-connected consumer devices have rapidly increased in popularity; however, relatively little is known about how these technologies are affecting interpersonal relationships in multi-occupant households. In this study, we conduct 13 semi-structured interviews and survey 508 individuals from a variety of backgrounds to discover and categorize how consumer IoT devices are affecting interpersonal relationships in the United States. We highlight several themes, providing large-scale exploratory data about the pervasiveness of interpersonal costs and benefits of consumer IoT devices. These results also inform follow-up studies and design priorities for future IoT technologies to amplify positive and reduce negative interpersonal effects.Comment: 26 pages, 5 figures, 5 tables. Updated version with additional examples and minor revisions. Original title: "You, Me, and IoT: How Internet-Connected Home Devices Affect Interpersonal Relationships
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