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Over the past years, there has been a shift towards online and hybrid meeting forms in workplace environments, partly as a consequence of various COVID-19 restrictions. However, the decision-making process on how to best collaborate with team members is predominantly driven by practical concerns. While there is a significant body of literature about where to best meet, this knowledge is fragmented across various disciplines and hard to use in novel meeting solutions. We present the Cross-Space Collaboration model which identifies the main factors that drive the features of in-person collaboration and the meeting aspects that influence these factors such as cognitive load. We designed the model to give guidance to teams and individuals on how to meet in order to have a higher collaboration effectiveness. Finally, we outline how the model can bring added value within new meeting solutions, next generation virtual reality meeting spaces and educational settings.

With the rise of popular task automation or IoT platforms such as 'If This Then That (IFTTT)', users can define rules to enable interactions between smart devices in their environment and thereby improve their daily lives. However, the rules authored via these platforms are usually tied to the platforms and sometimes even to the specific devices for which they have been defined. Therefore, when a user wishes to move to a different environment controlled by a different platform and/or devices, they need to recreate their rules for the new environment. The rise in the number of smart devices further adds to the complexity of rule authoring since users will have to navigate an ever-changing landscape of IoT devices. In order to address this problem, we need human-computer interaction that works across the boundaries of specific IoT platforms and devices. A step towards this human-computer interaction across platforms and devices is the introduction of a high-level semantic model for end-user IoT development, enabling users to create rules at a higher level of abstraction. However, many users who already got used to the rule representation in their favourite tool might be unwilling to learn and adapt to a new representation. We present a method for translating proprietary rules to a high-level semantic model by using natural language processing techniques. Our translation enables users to work with their familiar rule representation language and tool, and at the same time apply their rules across different IoT platforms and devices.

With the transformation of computing from personal computers to the Internet, document formats have also seen some changes over the years. Future document formats are likely going to adapt to the emerging needs of ubiquitous computing, where information processing is embedded in everyday activities and objects. While most existing document formats have originally been a digital emulation of paper documents, over the years they have been enriched with additional digital features. These features were mainly incorporated to take advantage of the new functionality offered by the devices on which the documents are accessed. With the advent of ubiquitous computing, document formats seem to be facing the next evolutionary step. They will have to adapt to novel mobile devices, innovative interaction modalities, the distribution over multiple devices as well as heterogeneous input sources. This adaptation to the age of ubiquitous computing asks for several new document features. We outline a roadmap towards future fluid document representations for ubiquitous information environments. Based on the resource-selector-link (RSL) hypermedia metamodel - a general hypermedia metamodel supporting distribution, user rights management and content adaptation - we developed a metamodel for fluid document formats and the corresponding online text editor for fluid documents.

Positioning systems and frameworks use various techniques to determine the position of an object. Some of the existing solutions combine different sensory data at the time of positioning in order to compute more accurate positions by reducing the error introduced by the used individual positioning techniques. We present OpenHPS, a generic hybrid positioning system implemented in TypeScript, that can not only reduce the error during tracking by fusing different sensory data based on different algorithms, but also also make use of combined tracking techniques when calibrating or training the system. In addition to a detailed discussion of the architecture, features and implementation of the extensible open source OpenHPS framework, we illustrate the use of our solution in a demonstrator application fusing different positioning techniques. While OpenHPS offers a number of positioning techniques, future extensions might integrate new positioning methods or algorithms and support additional levels of abstraction including symbolic locations.

The last two decades have seen the emergence and steady development of tangible user interfaces. While most of these interfaces are applied for input - with output still on traditional computer screens - the goal of programmable matter and actuated shape-changing materials is to directly use the physical objects for visual or tangible feedback. Advances in material sciences and flexible display technologies are investigated to enable such reconfigurable physical objects. While existing solutions aim for making physical objects more controllable via the digital world, we propose an approach where holograms (virtual objects) in a mixed reality environment are augmented with physical variables such as shape, texture or temperature. As such, the support for mobility forms an important contribution of the proposed solution since it enables users to freely move within and across environments. Furthermore, our augmented virtual objects can co-exist in a single environment with programmable matter and other actuated shape-changing solutions. The future potential of the proposed approach is illustrated in two usage scenarios and we hope that the presentation of our work in progress on a novel way to realise tangible holograms will foster some lively discussions in the CHI community.