17,449 research outputs found

    Mapping, sensing and visualising the digital co-presence in the public arena

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    This paper reports on work carried out within the Cityware project using mobile technologies to map, visualise and project the digital co-presence in the city. This paper focuses on two pilot studies exploring the Bluetooth landscape in the city of Bath. Here we apply adapted and ‘digitally augmented’ methods for spatial observation and analysis based on established methods used extensively in the space syntax approach to urban design. We map the physical and digital flows at a macro level and observe static space use at the micro level. In addition we look at social and mobile behaviour from an individual’s point of view. We apply a method based on intervention through ‘Sensing and projecting’ Bluetooth names and digital identity in the public arena. We present early findings in terms of patterns of Bluetooth flow and presence, and outline initial observations about how people’s reaction towards the projection of their Bluetooth names practices in public. In particular we note the importance of constructing socially meaningful relations between people mediated by these technologies. We discuss initial results and outline issues raised in detail before finally describing ongoing work

    Guidelines for the presentation and visualisation of lifelog content

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    Lifelogs offer rich voluminous sources of personal and social data for which visualisation is ideally suited to providing access, overview, and navigation. We explore through examples of our visualisation work within the domain of lifelogging the major axes on which lifelogs operate, and therefore, on which their visualisations should be contingent. We also explore the concept of ‘events’ as a way to significantly reduce the complexity of the lifelog for presentation and make it more human-oriented. Finally we present some guidelines and goals which should be considered when designing presentation modes for lifelog conten

    Location-based technologies for learning

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    Emerging technologies for learning report - Article exploring location based technologies and their potential for educatio

    Supporting Device Discovery and Spontaneous Interaction with Spatial References

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    The RELATE interaction model is designed to support spontaneous interaction of mobile users with devices and services in their environment. The model is based on spatial references that capture the spatial relationship of a user’s device with other co-located devices. Spatial references are obtained by relative position sensing and integrated in the mobile user interface to spatially visualize the arrangement of discovered devices, and to provide direct access for interaction across devices. In this paper we discuss two prototype systems demonstrating the utility of the model in collaborative and mobile settings, and present a study on usability of spatial list and map representations for device selection

    Collective choreography of space: modelling digital co-Presence in a public arena

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    In this paper we report on recent investigations within an ongoing research project, which aims at developing a better understanding of the urban space augmented with the digital space. We are looking at developing sensing environments acting as an interface that can facilitate interactions between people and people, and people and their surrounding. Here we describe a preliminary study that aims at mapping and visualising the digital presence of people in the public arena. We outline initial observations about how people move and congregate, and illustrate the impact of the spatial and syntactical properties on the type of shared interactions. We suggest that by altering the relation between consciousness of communication and the intention of interaction, technology can be appropriated to support emergent choreography of space. This may help throw further light on the complex relationship between the digital space and urban space in general, and people’s relationship to each other and to the sensing environment. Finally, we discuss our initial results and mention briefly our ongoing work
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