Digital interaction: where are we going?

In the framework of the AVI 2018 Conference, the interuniversity center ECONA has organized a thematic workshop on "Digital Interaction: where are we going?". Six contributions from the ECONA members investigate different perspectives around this thematic

In vitro activity of ceftazidime/avibactam alone and in combination with fosfomycin and carbapenems against KPC-producing Klebsiella pneumoniae

KPC-producing Klebsiella pneumonia (KPC-Kp) represents a major therapeutic challenge in critically ill patients. Ceftazidime-avibactam (CAZ-AVI) is a new effective drug against KPC-Kp but, due to emerging resistant strains during monotherapy, the association with a second antibiotic has been advocated. Therefore, intravenous fosfomycin may be a possible choice for combination therapy. The aim of this study was to evaluate the in vitro susceptibility of CAZ-AVI alone and in combination with fosfomycin and carbapenems against KPC-Kp clinical isolates by E-test method. The combination of CAZ-AVI with carbapenems showed synergistic activity, whereas with fosfomycin showed addictive activity, suggesting that fosfomycin may be a carbapenem-sparing strategy in antimicrobial stewardship programs

Your Friends Mention It. What About Visiting It? A Mobile Social-Based Sightseeing Application

In this short poster paper, we present an application for suggesting attractions to be visited by users, based on social signal processing technique

Mobiles and wearables: owner biometrics and authentication

We discuss the design and development of HCI models for authentication based on gait and gesture that can be supported by mobile and wearable equipment. The paper proposes to use such biometric behavioral traits for partially transparent and continuous authentication by means of behavioral patterns. © 2016 Copyright held by the owner/author(s)

A Petri-Net Based Approach to Measure the Learnability of Interactive Systems

We propose an approach to measure the learnability of an interactive system. Our approach relies on recording in a user log all the user actions that take place during a run of the system and on replaying them over one or more interaction models of the system. Each interaction model describes the expected way of executing a relevant task provided by the system. The proposed approach is able to identify deviations between the interaction models and the user log and to assess the weight of such deviations through a fitness value, which estimates how much a log adheres to the models. Our thesis is that by measuring the rate of such a fitness value for subsequent executions of the system we can not only understand if the system is learnable with respect to its relevant tasks, but also to identify potential learning issues. © 2016 Copyright held by the owner/author(s)