In the so called 'post-truth' era, characterized by a loss of public trust in various institutions, and the rise of 'fake news' disseminated via the internet and social media, individuals may face uncertainty about the veracity of information available, whether it be satire or malicious hoax. We investigate attitudes to news delivered by social media, and subsequent verification strategies applied, or not applied, by individuals. A survey reveals that two thirds of respondents regularly consumed news via Facebook, and that one third had at some point come across fake news that they initially believed to be true. An analysis task involving news presented via Facebook reveals a diverse range of judgement forming strategies, with participants relying on personal judgements as to plausibility and scepticism around sources and journalistic style. This reflects a shift away from traditional methods of accessing the news, and highlights the difficulties in combating the spread of fake news.

Both breathing and internal self-awareness are an integral part of any yoga practice. We describe and discuss the development of ExoPranayama, an actuated environment that physically manifests users’ breathing in yoga. Through a series of trials with yoga practitioners and expert teachers, we explore its role in the practice of yoga. Our interview results reveal that biofeedback through the environment supported teaching and improved self-awareness, but it impacted group cohesion. Two practical uses of the technology emerged for supporting breath control in yoga: (1) biofeedback can provide new information about users’ current internal states; (2) machine - driven feedback provides users with a future state or goal and leads to improved cohesiveness.

Our natural environment is complex and sensitive, and is home to a number of species on the verge of extinction. Surveying is one approach to their preservation, and can be supported by technology. This paper presents the deployment of a smartphone-based citizen science biodiversity application. Our findings from interviews with members of the biodiversity community revealed a tension between the technology and their established working practices. From our experience, we present a series of general guidelines for those designing citizen science apps.

Terms and conditions are central in acquiring user consent by service providers. Such documents are frequently highly complex and unreadable, placing doubts on the validity of so called 'informed consent'. While readability and web accessibility have been major themes for some time in HCI, the core principles have yet to be applied beyond webpage content and are absent from the underpinning terms and conditions. Our concern is that accessible web pages will encourage consent, masking the complexities of the terms of usage.

Energy systems researchers are proposing a broad range of future "smart" energy infrastructures to promote more efficient management of energy resources. This paper considers how consumers might relate to these future smart grids within the UK. To address this challenge we exploited a combination of demonstration and animated sketches to convey the nature of a future smart energy infrastructure based on software agents. Users' reactions suggested that although they felt an obligation to engage with energy issues, they were principally disinterested. Users showed a considerable lack of trust in energy companies raising a dilemma of design. While users might welcome agents to help in engaging with complex energy infrastructures, they had little faith in those that might provide them. This suggests the need to consider how to design software agents to enhance trust in these socio-economic settings.

The term Ubiquitous Monitoring aims to capture the unprecedented degree to which data collection will occur in the future through ongoing developments in embedded, wireless and sensory technologies. Intelligent buildings represent the most current instantiations of this technology in the form of building management/automation systems. However, there is an emerging field of research called adaptive architecture, which aims to explore more meaningful and direct interactions between occupants and their environments. In this paper, we use the experience of a prototype adaptive/biofeedback architecture called ExoBuilding as a probe to explore user attitudes towards future monitoring systems in buildings. We present results from a semi-structured interview, which encouraged participants to envision future monitoring technologies, making projections based on their real experiences with ExoBuilding.

We present a system and study of personalized energy-related recommendation. AgentSwitch utilizes electricity usage data collected from users' households over a period of time to realize a range of smart energy-related recommendations on energy tariffs, load detection and usage shifting. The web service is driven by a third party real-time energy tariff API (uSwitch), an energy data store, a set of algorithms for usage prediction, and appliance-level load disaggregation. We present the system design and user evaluation consisting of interviews and interface walkthroughs. We recruited participants from a previous study during which three months of their household's energy use was recorded to evaluate personalized recommendations in AgentSwitch. Our contributions are a) a systems architecture for personalized energy services; and b) findings from the evaluation that reveal challenges in designing energy-related recommender systems. In response to the challenges we formulate design recommendations to mitigate barriers to switching tariffs, to incentivize load shifting, and to automate energy management.

The assumed role of humans as controllers and instructors of machines is changing. As systems become more complex and incomprehensible to humans, it will be increasingly necessary for us to place confidence in intelligent interfaces and follow their instructions and recommendations. This type of relationship becomes particularly intricate when we consider significant numbers of humans and agents working together in collectives. While instruction-based interfaces and agents already exist, our understanding of them within the field of Human-Computer Interaction is still limited.

When interacting with any technology that differs significantly from what its users are comfortable and familiar with, there is likely to be an increased risk of undesirable and unexpected effects on their lives. Embedded systems are a prime and timely example of such dramatic change, where computing devices are placed inside everyday objects, thus making them ‘smart’ by enhancing their capabilities, whilst simultaneously fading their functionality into the background and out of sight. These devices will become connected to different systems and to each other, forming complex networks of smart devices that will ultimately become the core infrastructure of future technologies. The direct form of interaction with existing computer systems stands to be ‘turned on its head’, where actively and directly interacting with computing technologies will no longer be a necessity. Given the intended wide-scale spread and use of this technology, it stands not only to be embedded in the world in a physical sense, but also become embedded in our social lives as well. This will amplify the potential undesirable consequences of the systems, placing a strong need to understand and measure the social impact of these technologies.