The Serums Tool-Chain:Ensuring Security and Privacy of Medical Data in Smart Patient-Centric Healthcare Systems

Digital technology is permeating all aspects of human society and life. This leads to humans becoming highly dependent on digital devices, including upon digital: assistance, intelligence, and decisions. A major concern of this digital dependence is the lack of human oversight or intervention in many of the ways humans use this technology. This dependence and reliance on digital technology raises concerns in how humans trust such systems, and how to ensure digital technology behaves appropriately. This works considers recent developments and projects that combine digital technology and artificial intelligence with human society. The focus is on critical scenarios where failure of digital technology can lead to significant harm or even death. We explore how to build trust for users of digital technology in such scenarios and considering many different challenges for digital technology. The approaches applied and proposed here address user trust along many dimensions and aim to build collaborative and empowering use of digital technologies in critical aspects of human society

Collaborative Problem Solving using an Open Modeling Environment

This paper presents ModelsCreator version 3 (MC3) an environment that supports collaborative building of various kinds of models. MC3 is an environment that permits synchronous interaction of students at a distance who collaborate in building models out of primitive objects. The open character of MC3 means that students have access to an open set of primitive objects that can be used for building these models. A result of this characteristic is that the collaborating partners may reason using heterogeneous sets of primitive objects, in order to obtain a solution. In this paper we concentrate on the architecture of MC3 and the basic functionality of the environment. In particular we study the effect of the open character of the environment in collaboration and problem solving. Through experimentation it is demonstrated that the users of MC3 can have rich interaction in order to build or exchange at run time the necessary primitive objects for model building

On supporting young students in visual logic modeling

Logic reasoning presents notable difficulties for young children. This paper presents Logic Model Creator (LMC), a new environment that supports building and exploration of intuitive visual representation of logic models by young children. LMC logic models are structured as hypothesis, decision and/or counter decision components. These models are built using visual entities which represent the learning concepts of a specific domain. In this paper we focus on the architecture of LMC and the basic functionality of the environment. In particular we describe the the dynamic creation of equivalent logic models according to the so-called Reference Logic Model, constructed by the students' tutor. Furthermore an assessment module which provides immediate advice to the student in order to help them create a valid logic model is presented. Through experimentation it is demonstrated that the users of LMC can have rich interaction and assessment while exploring decision making logic constructs. © 2006 International Federation for Information Processing

Providing assistance during decision-making problems solving in an educational modelling environment

In this paper we present the model-checking module of decision-making models in the frame of ModelsCreator, an educational modelling environment. The model-checking module aims to assist young students to construct qualitative models for decision-making problems solving. We specify the decision-making models that may be built and we explain the model checking mechanism. The model-checking mechanism compares the student model with the reference model constructed by the teacher and provides immediate advice to the student to help him create a valid model. So, the model-checking module of a decision-making model aims to facilitate student to structure convincing decisions in the proper situations. © 2009 International Federation for Information Processing