Over the last decade we have seen various research on distributed user interfaces (DUIs). We provide an overview of existing DUI approaches and classify the different solutions based on the granularity of the distributed UI components, location constraints as well as their support for the distribution of state. We propose an approach for userdefined cross-device interaction where users can author their customised user interfaces based on a hypermedia metamodel and the concept of active components. Furthermore, we discuss the configuration and sharing of customised distributed user interfaces by end users where the focus is on an authoring rather than programming approach.
User interface design has become increasingly difficult due to the rise of new kinds of electronic devices and the emergence of the Internet of Things (IoT). Further, user interface (UI) designers struggle to adapt their UIs to evolving user needs and preferences. In order to address these issues, we want to support end users in designing their own user interfaces. However, end-user UI design represents a major challenge, given that end users often lack the necessary design skills. We investigated how design recommendations might be used to address the research question on how to help end users during the UI design process? A first step towards answering this question is the analysis of how end users should best get recommendations about potential design improvements. We therefore conducted a survey on how end users would like to get design recommendations, whether they trust user-or machinegenerated recommendations, and whether they agree that their interactions are tracked and shared in order to improve the recommendations. Based on the results of our survey, we present a set of design requirements for the integration of recommendations in end-user UI design tools.
Recently we see an increasing number of solutions for the authoring of cross-device and Internet of Things (IoT) applications. While most of these authoring tools have been realised based on existing metaphors and evaluated in subsequent user studies, there is no consensus on how to best enable end users to manage and interact with their devices, IoT objects and services. In order to establish some common guidelines for the development of cross-device and IoT authoring tools, we conducted an elicitation study exploring a user's mental model when defining cross-device interactions in IoT environments. Existing authoring solutions have further been checked for compliance with our guidelines and we developed a fully-compliant end-user authoring tool for cross-device and IoT applications. The presented guidelines may inform the design of new as well as the improvement of existing solutions and form a foundation for discussion, future studies and refinements within the HCI community. CCS CONCEPTS• Human-centered computing → User studies; Interaction design; User interface programming.
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Over the last decade, we have witnessed an emergence of Personal Information Management (PIM) solutions. Despite the fact that paper documents still form a significant part of our daily working activities, existing PIM systems usually support the organisation and re-finding of digital documents only. While physical document tracking solutions such as RFID-or computer vision-based systems are recently gaining some attention, they usually focus on the paper document tracking and offer limited support for refinding activities. We present PimVis, a solution for exploring and re-finding digital and paper documents in so-called cross-media information spaces. The PimVis user interface enables a unified organisation of digital and paper documents through the creation of bidirectional links between the digital and physical information space. The presented personal cross-media information management solution further supports the extension with alternative document tracking techniques as well as augmented reality solutions. A formative PimVis evaluation revealed the high potential of fully integrated cross-media PIM solutions. CCS Concepts•Human-centered computing → User interface management systems; Visualization toolkits; Ubiquitous and mobile computing systems and tools;
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