We apply the HCI concept of trajectories to the design of a sculpture trail. We crafted a trajectory through each sculpture, combining textual and audio instructions to drive directed viewing, movement and touching while listening to accompanying music. We designed key transitions along the way to oscillate between moments of social interaction and isolated personal engagement, and to deliver official interpretation only after visitors had been given the opportunity to make their own. We describe how visitors generally followed our trajectory, engaging with sculptures and making interpretations that sometimes challenged the received interpretation. We relate our findings to discussions of sense-making and design for multiple interpretations, concluding that curators and designers may benefit from considering "trajectories of interpretation".

Our surroundings are becoming infused with sensors measuring a variety of data streams about the environment, people and objects. Such data can be used to make the spaces that we inhabit responsive and interactive. Personal data in its different forms are one important data stream that such spaces are designed to respond to. In turn, one stream of personal data currently attracting high levels of interest in the HCI community is physiological data (e.g., heart rate, electrodermal activity), but this has seen little consideration in building architecture or the design of responsive environments. In this context, we developed a prototype mapping a single occupant's respiration to its size and form, while it also sonifies their heartbeat. The result is a breathing building prototype, formative trials of which suggested that it triggers behavioral and physiological adaptations in inhabitants without giving them instructions and it is perceived as a relaxing experience. In this paper, we present and discuss the results of a controlled study of this prototype, comparing three conditions: the static prototype, regular movement and sonification and a biofeedback condition, where the occupant's physiological data directly drives the prototype and presents this data back to them. The study confirmed that the biofeedback condition does indeed trigger behavioral changes and changes in participants' physiology, resulting in lower respiration rates as well as higher respiration amplitudes, respiration to heart rate coherence and lower frequency heart rate variability. Self-reported state of relaxation is more dependent on inhabitant preferences, their knowledge of physiological data and whether they found space to 'let go'. We conclude with a discussion of ExoBuilding as an immersive but also sharable biofeedback training interface and the wider potential of this approach to making buildings adapt to their inhabitants.

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We draw on ethnographic studies to understand the collaborative nature of network policies or rules in domestic settings. We outline the technical nature of network policy in enterprise domains and how this contrasts with the social or collaborative nature of rules in everyday life. We then consider the deployment of network control and policy system interfaces in domestic settings, highlighting the ways in which household members collaboratively exploited these to support network governance. Our results suggest that an important feature of network policy in domestic contexts is that rules about network activity are shaped by and answerable to the moral reasoning that governs domestic life. This reframes our understanding of how rules are oriented to and used in the home and has significant implications for the design of home network policy systems.