Search results for "Human-Computer Interaction"
showing 10 items of 605 documents
Acoustic rendering of particle-based simulation of liquids in motion
2009
In interaction and interface design, the representation of continuous processes often uses liquid metaphors, such as dripping or streaming. When an auditory display of such processes is required, an approach to sound-synthesis based on the physics of liquids in motion would be the most convincing, especially when real-time interaction is into play. In order to bridge the complexity of fluid-dynamic simulations with the needs of interactive sonification, we propose a multi-rate sound synthesis of liquid phenomena. Low-rate smoothed-particle hydrodynamics is used to model liquids in motion and to trigger sound-emitting events. Such events, such as solid-liquid collision, or bubble formation, …
Mental contents in interacting with a multiobjective optimization program
2008
User psychology aims at understanding human-machine interaction from a psychological point of view. Its ultimate goal is to provide knowledge about human psychological properties for interaction designers. In this article, we are particularly interested in applying the theoretical concepts of mental contents (i.e., the information contents of users’ mental representations), in studying interaction with professional software. The immediate motivation for adopting such an approach arises from problems met in designing interaction processes in multiobjective optimization software. These types of software are meant to support complex thought and decision-making processes and this is why interac…
Toward a formal sociology of online harassment
2019
Online harassment and various subcategories of it, like doxing and swatting, have attracted enormous interest for several years now—and particular interest in the world of game studies in the wake of 2014’s GamerGate harassment campaign. Such protracted, crowdsourced campaigns remain undertheorized, however. Using contemporary research to modify Georg Simmel’s formal sociological method, I provide researchers and the wider public with an easily visualized structure that most harassment campaigns follow: the form of an inverted pyramid bearing down on an individual target, stratified into three orders of harassment, each defined by level of severity and invasiveness. With this form, the publ…
Enabling Primary and Specialist Care Interoperability Through HL7 CDA Release 2 and the Chronic Care Model: An Italian Case Study
2012
Interoperability is the key to enable clinical information systems for General Practitioners (GP) and Hospital Specialists (HS) in order to exchange and manage the Chronic Care Models (CCM) medical records, Patient Summary (PS), and Electronic Prescription (e-Prescription) documents while accessing the electronic health record. We present a localization experience for PS and e-prescription, based on the Health Level Seven Version 3 Clinical Document Architecture Release 2, developed for Italian healthcare. We describe also an experience on the implementation of CCM for sharing patient clinical data among healthcare providers in the management of diagnostic and therapeutic pathways for chron…
A Trusted Hybrid Learning Approach to Secure Edge Computing
2021
Securing edge computing has drawn much attention due to the vital role of edge computing in Fifth Generation (5G) wireless networks. Artificial Intelligence (AI) has been adopted to protect networks against attackers targeting the connected edge devices or the wireless channel. However, the proposed detection mechanisms could generate a high false detection rate, especially against unknown attacks defined as zero-day threats. Thereby, we propose and conceive a new hybrid learning security framework that combines the expertise of security experts and the strength of machine learning to protect the edge computing network from known and unknown attacks, while minimizing the false detection rat…
Predicting lorawan behavior. How machine learning can help
2020
Large scale deployments of Internet of Things (IoT) networks are becoming reality. From a technology perspective, a lot of information related to device parameters, channel states, network and application data are stored in databases and can be used for an extensive analysis to improve the functionality of IoT systems in terms of network performance and user services. LoRaWAN (Long Range Wide Area Network) is one of the emerging IoT technologies, with a simple protocol based on LoRa modulation. In this work, we discuss how machine learning approaches can be used to improve network performance (and if and how they can help). To this aim, we describe a methodology to process LoRaWAN packets a…
A FAST Method to Achieve Flexible Production Programming Systems
2008
One of the main critical problems in manufacturing system domains is the production scheduling process, because an agile and reactive production planning and scheduling system is essential in manufacturing. The production scheduling process is a complex problem in which finding a suitable production scheduling can greatly increase the effectiveness of highly flexible production processes. Nevertheless, this high flexibility makes the production scheduling and acquisition of relevant data quite complicated. Therefore, there is a strong demand for a universal and flexible tool for production scheduling capable of increasing the utilization of resources and that supports a decision-making proc…
Improving situation awareness in crisis response teams
2016
In responding to an emergency, the actions of emergency response teams critically depend upon the situation awareness the team members have acquired. Situation awareness, and the design of systems to support it, has been a focus in recent emergency management research. In this paper, we introduce two interventions to the core processes of information processing and information sharing in emergency response teams to analyze their effect on the teams' situation awareness: (1) we enrich raw incoming information by adding a summary of the information received, and (2) we channel all incoming information to a central coordinator who then decides upon further distribution within the team. The eff…
On the Convergence of Affective and Persuasive Technologies in Computer-Mediated Health-Care Systems
2015
This paper offers a portrayal of how affective computing and persuasive technologies can converge into an effective tool for interfacing biomedical engineering with behavioral sciences and medicine. We describe the characteristics, features, applications, present state of the art, perspectives, and trends of both streams of research. In particular, these streams are analyzed in light of the potential contribution of their convergence for improving computer-mediated health-care systems, by facilitating the modification of patients’ attitudes and behaviors, such as engagement and compliance. We propose a framework for future research in this emerging area, highlighting how key constructs and …