9 research outputs found
A Visual Analytic Approach to Analyze Highway Vehicular Traffic
No full textThe Italian National Police started a research on vehicular traffic to improve road safety and reduce the number of theft victims. In order to support the discovery of anomalous behavior, this paper proposes a method for data analysis to automatically detect relevant hypotheses, a data mining technique to extract relevant information and a visualization technique. Traffic flow analysis is a challenging and complex task, due to the huge size of the data involved, thus falling in the realm of Big Data. Visual Analytics tools reduce and improve the search by representing a large amount of data in a small space through smart visualizations
A Homemade Pill Dispenser Prototype Supporting Elderly
No full textPeople, and mainly elderly people, need a continuous support for different reasons. Recent technologies are offering many possibilities that was not possible to conceive in the past. In particular, the proliferation of IoT devices raise the need to standardize protocols and interaction languages. The aim of this work is to create a device for the management of pills according to the user’s therapy, with Internet of things (IoT) devices and by allowing users to manage the pill dispenser by themselves. The work falls into two main areas of current research: the End-user development (EUD) and the Internet of things (IoT). The main issue we cope with such device is to allow the different therapies for each person and for each drug. We propose the EUDroid system, which provides the end user with the possibility to easily activate LEDs and buzzer related to pills from the users’ smartphone. The user chooses the type of pill to be associated to each LED, the day and time of activation and some other property. A formal language to configure the device has been adopted in order to allow users to build complex conditions for remind to follow the therapy
A Visual Analytics Technique to Compare the Performance of Predictive Models
No full textDecisions that people make every day are affected by the information available in a given moment. Predictive models are used to estimate future values. For a given set of data and an analysis goal, the results of the models can vary, so it is important to select the most accurate model for the set of data. This paper proposes a Visual Analytics technique for comparing the performance of predictive models. It consists of four main components that support the tasks of the Keim’s Visual Analytics Mantra: “analyze first, show the important, zoom, filter and analyze further, details on demand”. The first component, analyze data, by building predictive models using various machine learning algorithms; the other three components are interactive visualizations that show the important results found by the models, zoom and filter on results of interest and finally, further analyze the selected results by showing details on the data
An experience on cooperative development of interactive visualizations for the analysis of urban data - Presentazione al workshop
No full textDigitaltechnologiesandsocialnetworksofferseveralpossibilitiesfor improving the quality of life in Smart Cities. Citizens are willing to contribute to the efficiency of services that Smart Cities offer by reporting through dif- ferent channels, such as phone/fax, front office, website, mobile app, sensors, several problems they observe in the city. This paper contributes to the advance- ment of the practice of HCI by describing an experience carried out with the employees of a municipality about the identification and implementation of inter- active visualizations, in order to support them in the management of urban issues reported by citizens. The performed experience was inspired by the Cooperative Method Development (CMD), that emphasizes a strong collaboration between IT researchers and experts in a work practice, working side by side and being focused on the practitioners’ problems, in order to identify critical aspects and possible improvements that lead to the design and development of new software artifacts. The municipality employees greatly appreciated their active involvement in the overall CMD process, as well as the improvements on data analysis, thanks to the developed interactive visualizations that enable them to detect trends, anomalies and significant facts in the management of urban issues
Visualizations of multidimensional data reported by citizens - Presentazione al congresso
No full textDigital technologies offer new possibilities for improving the quality of life of people living in Smart Cities. City administrations are more and more soliciting citizens to provide indications about problems they notice in the city and citizens are keen to contribute to improve the quality of life. Citizens may be considered as complex sensors in Smart Cities, they provide rich data, such as individual measurements, their subjective perceptions or personal comments [1–3]. This paper is about the work we are carrying out with a Smart City municipality on the use of interactive visualizations to support the analysis of multidimensional data reported by citizens through specific apps on mobile devices. The analysis aims at reducing the time to solve the reported problems as well as understanding the different performances of the municipality departments involved in the process.
Many effective visualization techniques are available in the literature [5–7]. Choosing a good visualization technique depends very much on the type of data and on the needs and objectives of the analysts. In order to better satisfy the analysts’ requirements, in creating the visualizations we adopted an approach inspired to the Cooperative Method Development (CMD) proposed by Dittrich et al. [4], which emphasizes a strong collaboration between IT researchers and experts in the work practice, in order to focus on the practitioners’ problems, identify issues and propose improvements. The work with the city data analysts led to the development of various visualizations, some are based on already known techniques, e.g. the Treemap [8], others have been purposely created to show in a single visualization the multidimensional data of interest. The analysts appreciated a lot the proposed visualizations, which allow them to easily detect trends, anomalies and significant facts in the management of urban issues; they acknowledged very much that these visualizations greatly improve their data analysis activitie
Visual Techniques to Compare Predictive Models
No full textPredictive analysis is an important part of data analysis. Predictive models, based on Statistics or Machine Learning, are increasingly used to estimate, with a certain probability, future values of the variables that describe a phenomenon. Different models produce different results on a same dataset; thus, several models should be compared in order to identify the most suitable one. The paper is part of a larger research that aims at providing interactive visualizations that help the analysts to compare predictive models and to select the model that best fits the data. Specifically, two visualizations are presented, which support the analysts in performing some tasks of the Keim’s Visual Analytics Mantra
A Modular Pill Dispenser Supporting Therapies at Home
No full textModern technologies support people’s life in multiple contexts like the assistive one. The pervasiveness of the so-called “Smart Objects”, related to the Internet of Things technologies, is boosting this in many ways. The support for old people to take the daily tablets through an automatic device is an example. This work presents the prototype of a modular pill dispenser customized by end users according to their specific therapy needs. The prototype is a physical and modular set of pillboxes each containing the pills to be assumed in a therapy. The presented scenario at a specific time, set by the user, one or more pillboxes blink to alert the patient that is pill time. If for a given time interval the patient do not take the pill a sound notification is activated and plays for a given duration. If still nothing happens then a notification is sent to the caregiver’s smartphone. The behavior of the pill dispenser is defined by the end user and can be modified any time. One peculiarity of the pill dispenser is that the number of physical boxes are decided by the user and can change any time to best fit the specific therapy. The final goal of this work is to push not professional users, in particular older people, to take advantages of new technologies to improve their life
EUDroid: a formal language specifying the behaviour of IoT devices
No full textRecent technologies are offering today many possibilities to end users, which ask for continuous support in a variety of situations. Internet of things (IoTs) and the proliferation of smart devices are offering many opportunities that raise the need to standardise protocols for their interoperability and interaction languages for their management. This study proposes EUDroid, a system composed of a mobile application and an IoT device used as a pill reminder to allow the patients to correctly take their prescribed drugs. A web server stores and manages the therapies that can be defined by the end users. The web server also manages the communication between the app and the device. In order to validate the management of the therapies, a formal language has been proposed. It describes the behaviour of different components of the IoT device, such as LEDs or buzzers, and defines when, with which delay, and for how long time a given event will last, to manage technical concepts related to smart devices for supporting them in following therapies more accurately.Recent technologies are offering today many possibilities to end users, which ask for continuous support in a variety of situations. Internet of things (IoTs) and the proliferation of smart devices are offering many opportunities that raise the need to standardise protocols for their interoperability and interaction languages for their management. This study proposes EUDroid, a system composed of a mobile application and an IoT device used as a pill reminder to allow the patients to correctly take their prescribed drugs. A web server stores and manages the therapies that can be defined by the end users. The web server also manages the communication between the app and the device. In order to validate the management of the therapies, a formal language has been proposed. It describes the behaviour of different components of the IoT device, such as LEDs or buzzers, and defines when, with which delay, and for how long time a given event will last, to manage technical concepts related to smart devices for supporting them in following therapies more accurately
