This paper describes the challenges and lessons learned in the experience-centered design (ECD) of the Spheres of Wellbeing, a technology to promote the mental health and wellbeing of a group of women, suffering from significant mental health problems and living in a medium secure hospital unit. First, we describe how our relationship with mental health professionals at the hospital and the aspirations for person-centric care that we shared with them enabled us, in the design of the Spheres, to innovate outside traditional healthcare procedures. We then provide insights into the challenges presented by the particular care culture and existing services and practices in the secure hospital unit that were revealed through our technology deployment. In discussing these challenges, our design enquiry opens up a space to make sense of experience living with complex mental health conditions in highly constrained contexts within which the deployment of the Spheres becomes an opportunity to think about wellbeing in similar contexts.

We present a novel approach to graspable interfaces using Touchbugs, actuated physical objects for interacting with interactive surface computing applications. Touchbugs are active tangibles that are able to move across surfaces by employing vibrating motors and can communicate with camera based multi-touch surfaces using infrared LEDs. Touchbug's embedded inertial sensors and computational capabilities open a new interaction space by providing autonomous capabilities for tangibles that allow goal directed behavior.

The Break-Time Barometer is a social awareness system, which was developed as part of an exploratory study of the use of situated sensing and displays to promote cohesion in a newly-dispersed workplace. The Break-Time Barometer specifically aims to use an ambient persuasion approach in order to encourage people to join existing breaks, which take place within this community. Drawing upon a privacy-sensitive ubiquitous sensing infrastructure, the system of-fers information about potentially break-related activity in social spaces within this workplace, including alerts when specific events are detected. The system was developed using a user-centered iterative design approach. A qualitative mixed methods evaluation of a full deployment identified a diverse set of reactions to both the system and the design goal, and further elaborated the challenges of designing for social connectedness in this complex workplace context.

Health and well-being of dogs, either domesticated pets or service animals, are major concerns that are taken seriously for ethical, emotional, and financial reasons. Welfare assessments in dogs rely on objective observations of both frequency and variability of individual behaviour traits, which is often difficult to obtain in a dog's everyday life. In this paper we have identified a set of activities, which are linked to behaviour traits that are relevant for a dog's wellbeing. We developed a collar-worn accelerometry platform that records dog behaviours in naturalistic environments. A statistical classification framework is used for recognising dog activities. In an experimental evaluation we analysed the naturalistic behaviour of 18 dogs and were able to recognise a total of 17 different activities with approximately 70% classification accuracy. The presented system is the first of its kind that allows for robust and detailed analysis of dog activities in naturalistic environments.

In recent years the sport of climbing has seen consistent increase in popularity. Climbing requires a complex skill set for successful and safe exercising. While elite climbers receive intensive expert coaching to refine this skill set, this progression approach is not viable for the amateur population. We have developed ClimbAX - a climbing performance analysis system that aims for replicating expert assessments and thus represents a first step towards an automatic coaching system for climbing enthusiasts. Through an accelerometer based wearable sensing platform, climber's movements are captured. An automatic analysis procedure detects climbing sessions and moves, which form the basis for subsequent performance assessment. The assessment parameters are derived from sports science literature and include: power, control, stability, speed. ClimbAX was evaluated in a large case study with 53 climbers under competition settings. We report a strong correlation between predicted scores and official competition results, which demonstrate the effectiveness of our automatic skill assessment system.

There is an increasing desire to remain connected when physically distant and computer-mediated communication (CMC) is one means of satisfying this desire. In particular, there is a growing trend for individuals to use commercially available technology to connect with friends and family in social and leisure settings. Drawing on this trend, performative arts and existing telecommunications research, we identify the social practice of sharing a meal together as ripe for reinterpretation within CMC. We explore the opportunities to design a technology platform that supports remote guests in experiencing togetherness and playfulness within the practices of a traditional dinner party. Through both visual and aural channels as well as remote agency, the dinner guests were able to share a holistic telematic dining experience comparable to a traditional co-presence dinner. Based on the findings, we propose that one must consider the social structure and cultural background of users to inform the design of a technological intervention.

We describe the development, application and evaluation of a design method tailored for working with people with mild to moderate dementia. Our experiences with the approach highlighted areas where designers and participants held radically different views. The tenet of our approach was that to overcome these differences we needed to create an empathic relationship between participants and designers. To achieve this we modified participatory design techniques to foster respectful engagement with participants in the development of a digital aid to facilitate "safe walking". The process begins with broad qualitative scoping and design work then moves to developing personally tailored, individual designs to further exploration of the experiential elements of the domain while reducing the need for the participants to engage in abstract thought. Reflection highlights a number of important areas that demand consideration when undertaking research in this area and, more generally, when performing design work with people with dementia.

Ubiquitous computing technologies have traditionally striven to augment objects and the environment with sensing capabilities to enable them to respond appropriately to the needs of the individuals in the environment. This paper considers how such technologies might be harnessed to support language learning, and specifically Task-Based Learning (TBL). Task-Based Learning (TBL) involves doing meaningful tasks in a foreign language, emphasising the language's use in practice. TBL is seen as a highly engaging and motivating approach to learning a language, but is difficult to do in the classroom. Here, learners typically engage in activities that only simulate 'real-world' tasks, and as such only rehearse language use, rather than applying the language in practice. In this paper, we explore how an instrumented, context-aware environment whose design is grounded in pedagogical principles can support TBL. We present the French Kitchen, an instrumented kitchen for English speakers who are learning French, and describe a 46-participant evaluation of the kitchen. Based on the evaluation, we provide a set of design recommendations for those building instrumented systems for TBL.

We present the development of a socially acceptable cueing device for drooling in Parkinson's disease (PD). Sialorrhea, or drooling, is a significant problem associated with PD and has a strong negative emotional impact on those who experience it. Previous studies have shown the potential for managing drooling by using a cueing device. However, the devices used in these studies were deemed unacceptable by their users due to factors such as hearing impairment and social embarrassment. We conducted exploratory scoping work and high fidelity iterative prototyping with people with PD to get their input on the design of a cueing aid and this has given us an insight into challenges that confront users with PD and limit device usability and acceptability. The key finding from working with people with PD was the need for the device to be socially acceptable.

Making distance measurements with RSS can be challenging in indoor environments. The effect of multipath and shadowing introduces ambiguity into the readings, leading to a range of distances that can be inferred from a single measurement. This contribution highlights the frequency dependancy of these effects. Lower and upper bounding constraints are introduced to achieve an practical operational range and mitigate the possibility of ambiguous RSS measurements. In the results section we verify our theoretical limits with practical based experimental results. We also highlight the gains in RMSE when our thresholding approach is transferred to a localisation scheme.

In wireless sensor networks, the use of energy efficient infrastructure such as clustering may be used to lengthen the network lifetime and prevent network connectivity degradation. In such systems, the performance of the clustering scheme is generally influenced by the cluster head selection method and the number of clusters. This paper presents a dynamic clustering method with multi-objectives that automatically determines the optimum number of clusters in the network. The algorithm, which is based on binary Particle Swarm Optimization (PSO), eliminates the need to set the number of clusters a priori. In addition, a multi-objective approach is utilized in the cluster head selection algorithm in order to select the best set of cluster heads. Simulation results demonstrate that the proposed protocol can achieve an optimal number of clusters, as well as prolong the network lifetime and increase the data delivery at the base station when compared to other well known clustering algorithms.

Implementing positioning systems for indoor environments is notoriously difficult. The vast array of interacting parameters such as furniture, room shape and materials mean that the simulation of such an environment is of limited value. We present in this paper results from an empirical investigation as to the attainable accuracy of a Radio Frequency (RF) positioning system based on received signal strength (RSS). Methods to improve confidence, such as frequency averaging and bi-directional ranging, are explored. Finally we present and evaluate a novel method for calibrating the channel propagation exponent with no prior knowledge of the sensor network layout or room shape.