Mobile applications for open display networks : common design considerations

Mobile devices can be a powerful tool for interaction with public displays, but mobile applications supporting this form of interaction are not yet part of our everyday reality. There are no widely accepted abstractions, standards, or practices that may enable systematic interaction between mobile devices and public displays. We envision public displays to move away from a world of closed display networks to scenarios where mobile applications could allow people to interact with the myriad of displays they might encounter during their everyday trips. In this research, we study the key processes involved in this collaborative interaction between public shared displays and mobile applications. Based on the lessons learned from our own development and deployment of 3 applications, and also on the analysis of the interactive features described in the literature, we have identified 8 key processes that may shape this form of interaction: Discovery, Association, Presence Management, Exploration, Interface Migration, Controller, Media Upload and Media Download. The contribution of this work is the identification of these high-level processes and an elicitation of the main design considerations for display networks.(undefined

How will the Internet of Things enable Augmented Personalized Health?

Internet-of-Things (IoT) is profoundly redefining the way we create, consume, and share information. Health aficionados and citizens are increasingly using IoT technologies to track their sleep, food intake, activity, vital body signals, and other physiological observations. This is complemented by IoT systems that continuously collect health-related data from the environment and inside the living quarters. Together, these have created an opportunity for a new generation of healthcare solutions. However, interpreting data to understand an individual's health is challenging. It is usually necessary to look at that individual's clinical record and behavioral information, as well as social and environmental information affecting that individual. Interpreting how well a patient is doing also requires looking at his adherence to respective health objectives, application of relevant clinical knowledge and the desired outcomes. We resort to the vision of Augmented Personalized Healthcare (APH) to exploit the extensive variety of relevant data and medical knowledge using Artificial Intelligence (AI) techniques to extend and enhance human health to presents various stages of augmented health management strategies: self-monitoring, self-appraisal, self-management, intervention, and disease progress tracking and prediction. kHealth technology, a specific incarnation of APH, and its application to Asthma and other diseases are used to provide illustrations and discuss alternatives for technology-assisted health management. Several prominent efforts involving IoT and patient-generated health data (PGHD) with respect converting multimodal data into actionable information (big data to smart data) are also identified. Roles of three components in an evidence-based semantic perception approach- Contextualization, Abstraction, and Personalization are discussed

Exploring social music behaviour: An investigation of music selection at parties

This paper builds an understanding how music is currently listened to by small (fewer than 10 individuals) to medium-sized (10 to 40 individuals) gatherings of people— how songs are chosen for playing, how the music fits in with other activities of group members, who supplies the music, the hardware/software that supports song selection and presentation. This fine-grained context emerges from a qualitative analysis of a rich set of participant observations and interviews focusing on the selection of songs to play at social gatherings. We suggest features for software to support music playing at parties

Presence management and bluetooth naming on situated displays

This paper describes a user study that investigated to what extent the display of Bluetooth presence and device names on a public screen changes people usage of Bluetooth and alters social practices in a particular context. In this work, the utilization of Bluetooth device naming extended beyond identity representation and introduced the use of a simple interaction mechanism in which the system can recognize parts of the Bluetooth device name as explicit instructions to trigger the generation of content from the web on a interactive public display. The user study, which involved the deployment of a fully functional prototype in a University bar, generally addressed the suitability of these techniques and the type of social practices that emerged. However, in this paper, we particularly focus on how the naming of the devices was utilized as a communication tool. In fact, the results from the analysis of usage logs and insitu group interviews suggest that people creatively appropriated the interaction techniques employed and these techniques were effective in their ability to sustain situated interaction and self disclosure around the public display. Implications of our findings to the design of further functionalities are also pointed out

'Follow me': a web-based, location-sharing architecture for large, indoor environments

We leverage the ubiquity of bluetooth-enabled devices and propose a decentralized, web-based architecture that allows users to share their location by following each other in the style of Twitter. We demonstrate a prototype that operates in a large building which generates a dataset of detected bluetooth devices at a rate of ~30 new devices per day, including the respective location where they were last detected. Users then query the dataset using their unique bluetooth ID and share their current location with their followers by means of unique URIs that they control. Our separation between producers (the building) and consumers (the users) of bluetooth device location data allows us to create socially-aware applications that respect user's privacy while limiting the software necessary to run on mobile devices to just a web browser

Activity-centered ubiquitous computing support to localized activities

This paper presents ActivitySpot, a ubiquitous computing framework for supporting localized activities, i.e., activities strongly associated to a specific physical environment, performed by occasional visitors. The ActivitySpot framework implements an activity-centered approach to ubiquitous computing, by defining a conceptual model inspired by Activity Theory and implementing a software infrastructure derived from this conceptual model. ActivitySpot has been evaluated by experiments run at different public spaces and results demonstrate the framework’s suitability to the targeted type of environment.Fundação para a Ciência e a Tecnologia (FCT) - SFRH/BD/13299/2003. Fundo Europeu de Desenvolvimento Regional (FEDER) - POS_Conhecimento

Personalization platform for multimodal ubiquitous computing applications

Dissertação para obtenção do Grau de Mestre em Engenharia InformáticaWe currently live surrounded by a myriad of computing devices running multiple applications. In general, the user experience on each of those scenarios is not adapted to each user’s specific needs, without personalization and integration across scenarios. Moreover, developers usually do not have the right tools to handle that in a standard and generic way. As such, a personalization platform may provide those tools. This kind of platform should be readily available to be used by any developer. Therefore, it must be developed to be available over the Internet. With the advances in IT infrastructure, it is now possible to develop reliable and scalable services running on abstract and virtualized platforms. Those are some of the advantages of cloud computing, which offers a model of utility computing where customers are able to dynamically allocate the resources they need and are charged accordingly. This work focuses on the creation of a cloud-based personalization platform built on a previously developed generic user modeling framework. It provides user profiling and context-awareness tools to third-party developers. A public display-based application was also developed. It provides useful information to students, teachers and others in a university campus as they are detected by Bluetooth scanning. It uses the personalization platform as the basis to select the most relevant information in each situation, while a mobile application was developed to be used as an input mechanism. A user study was conducted to assess the usefulness of the application and to validate some design choices. The results were mostly positive