This research explores the potential challenges of reducing climate change hidden in personal and collective energy use-related beliefs expectations end users. The study proposes a new typology social environments, using concept efficacy, which is suitable for exploring level nature solving problems that require engaging whole societies. We use empirical data from round eight European Social Su...

Mobile health (mHealth) applications have become ubiquitous and enabled self-monitoring to help provide better outcomes. However, the wide availability of mHealth apps introduces new challenges when users need download use several apps. While past app evaluations highlighted many issues, surrounding work is limited. This study aims analyse current user expectations from future information impor...

The ability to gauge the quality of a service is critical if we are to achieve the service oriented computing paradigm. Many techniques have been proposed and most of them attempt to calculate the quality of a service by collecting quality ratings from the users of the service, then combining them in one way or another. We argue that collecting quality ratings alone from the users is not suffic...

People expect software that they use for everyday purposes to be dependable enough for their needs. Usually, they can tolerate some failures, provided they can notice and recover from problems. Many dependability enhancement techniques rely on failure detection. Detection requires a model of proper behavior, preferably in the form of specifications. However, the specifications of everyday softw...

Open Display Networks have the potential to allow many content creators to publish their media to an open-ended set of screen displays. However, this raises the issue of how to match that content to the right displays. In this study, we aim to understand how the perceived utility of particular media sharing scenarios is affected by three independent variables, more specifically: (a) the locativ...

Considerable progress has been made on the technical development of sensor networks. However increasing attention is now also required for the broad diversity of end-user requirements for the deployment of sensor networks. An expert survey on the user requirements and future expectations for sensor networks was carried out. Both technology and applications are seen as main drivers for sensor ne...

Computer science is undergoing a profound transformation: gains in computing power and the availability of large datasets provide a fertile ground for machine learning research. One challenge in this context is to take account of user preferences to provide personalized access to information.Recommender systems create user and item profiles using past user reviews, profiles that reflect user pr...

This study utilised eye-tracking technology to evaluate the results from the ASEAN mental model pattern of web object locations in a web user-centered interface design. Two experts and four volunteers participated in an eye-tracking experiment. The selected web object locations led to fewer fixations and participants found the target web objects faster. The eye-tracking data showed that users h...