Search results for "Task analysi"
showing 10 items of 86 documents
Linguistic Approach to Support Human Reliability Analysis and Validation Work in Advanced Radiotherapy Technologies
2019
An integrated methodology, that combines Hierarchical Task Analysis (HTA), Cognitive Task Analysis (CTA) and a modified Human Error Assessment and Reduction Technique (HEART), is proposed to identify safety-relevant human actions in innovative and advanced facilities. It is suggested to use in HEART the concept of linguistic expressions for proportion assessment factors. To prove its applicability, a case study is presented. The validation work has related to safety analyses of accidental events that can involve radiological over-exposure of patients during proton therapy treatments carried out by CATANA (Centro di AdroTerapia Applicazioni Nucleari Avanzate) centre, Italy. CATANA is the fir…
An Artificial Soft Somatosensory System for a Cognitive Robot
2020
The paper proposes an artificial somatosensory system loosely inspired by human beings' biology and embedded in a cognitive architecture (CA). It enables a robot to receive the stimulation from its embodiment, and use these sensations, we called roboceptions, to behave according to both the external environment and the internal robot status. In such a way, the robot is aware of its body and able to interpret physical sensations can be more effective in the task while maintaining its well being. The robot's physiological urges are tightly bound to the specific physical state of the robot. Positive and negative physical information can, therefore, be processed and let the robot behave in a mo…
Cross‐lagged associations between kindergarten teachers' causal attributions and children's task motivation and performance in reading
2009
The present study investigated whether kindergarten teachers' causal attributions would predict children's reading‐related task motivation and performance, or whether it is rather children's motivation and performance that contribute to teachers' causal attributions. To investigate this, 69 children (five to six years old at baseline) and their teachers were examined twice during the kindergarten year. Teachers filled in a questionnaire measuring their causal attributions twice during the kindergarten year. Information about the children's reading‐related task motivation and performance was gathered at the beginning of and at the end of the kindergarten year. The results showed that the hig…
Learning via Summarizing Infographics Assignment in Software Engineering Management e-Course?
2020
This Research-to-Practice, Work in Progress Paper focuses on how learners experience creation of infographics as a summarizing assignment in an advanced level e-course on software engineering management (SEM). We have previously investigated how learners perceive infographics as a repeated reflection assignment during a requirements engineering e-course. To complement this research project, we studied how learners experience the use of infographics as a method for summarizing a whole software engineering management course in e-education setting. The SEM course participants (N=36) found that infographics as a summarizing assignment required complex learning that was altogether deemed highly …
User-Centered Design of a Scenario-Based Serious Game: Game-Based Teaching of Future Healthcare
2020
A scenario-based serious game for teaching about healthcare solutions was developed and tested in multiple iterations. The serious game captures the complexity of a real-world healthcare scenario, projecting it into a “scenario system” that can be accessed by the game participants to explore and experience the playthrough of a critical healthcare situation. The aim is to teach about existing health technology, and its uses and interactions between healthcare professionals, technologies, and patients. The platform for the serious game is mobile, such that different locations can be chosen for different scenarios. Actions of the participants trigger further actions, tasks, and storyline progr…
Checkpointing Workflows for Fail-Stop Errors
2017
International audience; We consider the problem of orchestrating the exe- cution of workflow applications structured as Directed Acyclic Graphs (DAGs) on parallel computing platforms that are subject to fail-stop failures. The objective is to minimize expected overall execution time, or makespan. A solution to this problem consists of a schedule of the workflow tasks on the available processors and of a decision of which application data to checkpoint to stable storage, so as to mitigate the impact of processor failures. For general DAGs this problem is hopelessly intractable. In fact, given a solution, computing its expected makespan is still a difficult problem. To address this challenge,…
An Analytical Scheme to Characterise the Mathematical Discourse of Biology Tasks
2021
The chapter describes an analytical scheme designed for investigating the mathematical discourse of biology tasks. The scheme was developed in the context of analysing tasks that are part of a fisheries management graduate-level course at a Norwegian university. Grounded in the commognitive perspective, the scheme focuses on the following aspects of the tasks: the mathematical content, its relation to biology discourse and students’ expected engagement with both discourses. To illustrate the potential of analysis, I present and justify the choice of the categories included in the scheme, exemplify its use on one specific task and discuss some of the limitations of this approach to task anal…
A Quantum-Inspired Classifier for Early Web Bot Detection
2022
This paper introduces a novel approach, inspired by the principles of Quantum Computing, to address web bot detection in terms of real-time classification of an incoming data stream of HTTP request headers, in order to ensure the shortest decision time with the highest accuracy. The proposed approach exploits the analogy between the intrinsic correlation of two or more particles and the dependence of each HTTP request on the preceding ones. Starting from the a-posteriori probability of each request to belong to a particular class, it is possible to assign a Qubit state representing a combination of the aforementioned probabilities for all available observations of the time series. By levera…
Analisi di sicurezza nella procedura di protonterapia oculare applicata presso i Laboratori del Sud dell’INFN di Catania
2017
A partire dal 2002, l’Azienda Ospedaliera Universitaria “Policlinico Vittorio Emanuele” di Catania ha effettuato il trattamento di circa 350 pazienti affetti da neoplasie oculari mediante fasci di protoni prodotti con il ciclotrone disponibile presso i Laboratori nazionali del Sud (LNS). Tale impianto viene utilizzato per attività di ricerca nell’ambito della fisica sperimentale, per cui è stato necessario modificare le caratteristiche del fascio, rendendolo idoneo alle applicazioni cliniche. Il lavoro di ricerca ha riguardato lo svolgimento della analisi del rischio volto ad individuare possibili fallimenti nelle procedure adottate per il trattamento del paziente sottoposto a cicli di prot…
Social Media Data in an Augmented Reality System for Situation Awareness Support in Emergency Control Rooms
2021
AbstractDuring crisis situations, emergency operators require fast information access to achieve situation awareness and make the best possible decisions. Augmented reality could be used to visualize the wealth of user-generated content available on social media and enable context-adaptive functions for emergency operators. Although emergency operators agree that social media analytics will be important for their future work, it poses a challenge to filter and visualize large amounts of social media data. We conducted a goal-directed task analysis to identify the situation awareness requirements of emergency operators. By collecting tweets during two storms in Germany we evaluated the usefu…