A Policy Language for a Pervasive Computing Environment
POLICY '03 Proceedings of the 4th IEEE International Workshop on Policies for Distributed Systems and Networks
Affective computing: challenges
International Journal of Human-Computer Studies - Application of affective computing in human—Computer interaction
How smart are our environments? An updated look at the state of the art
Pervasive and Mobile Computing
Automatic prediction of frustration
International Journal of Human-Computer Studies
Urban sensing systems: opportunistic or participatory?
Proceedings of the 9th workshop on Mobile computing systems and applications
The Rise of People-Centric Sensing
IEEE Internet Computing
Communications of the ACM
ACM Transactions on Computer-Human Interaction (TOCHI)
Engineering Policy-Based Ubiquitous Systems
The Computer Journal
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Investigating mobile quality of experience in public transport
MobileHCI '12 Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services companion
Assessing contextual mood in public transport: a pilot study
Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services
The railway blues: affective interaction for personalised transport experiences
Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia
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In recent years the mass adoption of mobile devices and increasingly ubiquitous connectivity have contributed to a radical change in the way people interact with computer systems. Moreover cloud computing infrastructures have paved the way for the development of smart systems in such settings, whose goal is to provide a service to enhance user experience based on environment and user sensed data. In this context, there is a clear disconnection between the two streams that flow continuously between user and cloud-based systems. On the one hand, user- and environment-generated data is being, for the most part, disregarded by service providers. On the other hand, services offered do not address users' specific needs and preferences. In addition, service discovery is a cognitive demanding process and it may have detrimental consequences in user experience. In this paper we propose a user-centric framework that addresses the disconnection between these two streams: Cloud2Bubble. The framework facilitates the design and development of smart systems. It aims at leveraging existing technology, such as environment sensors and personal devices, to aggregate localised user-related data - defined as a bubble - into the cloud. This aggregation later supports the delivery of personalised services, contextually relevant to users. The delivery of services with such characteristics has the potential to enhance quality of experience and influence user behaviour. A first iteration of the platform was developed and an evaluation in a simulated environment was performed with encouraging results. Thus, the platform will be further expanded for instantiation and evaluation in the context of urban public transports. We intend to investigate the effects of relevant service delivery in terms of enhancement of quality of experience and influencing user behaviour. The delivery of a service with these characteristics presents benefits for both users and service providers.