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Borse di studio a tematica specifica

1. Integration of Behavior Change Intervention Strategies into AI-based Solutions, financed by Fondazione Bruno Kessler - FBK

Description: One of the pillars of healthcare digital transformation focuses on the integration of AI-based solutions within the clinician-patient relationships with the aim of monitoring and/or supporting them toward the achievement of healthy functional status. Examples of these systems are (i) virtual coaches to support remote monitoring and recommendations for patients affected by stress or nutritional chronic diseases; (ii) telehealth solutions to enhance the care capabilities of health organizations; and, (iii) tools to orchestrate care pathways involving, besides patients, multiple clinical actors.
This Ph.D. works within this context with the aim of exploiting behavior change intervention (BCI) strategies to design novel persuasive frameworks nurturing AI-based systems to trigger the implementation of the next-generation virtual digital assistants.
The area of intervention is very broad since the research areas involved are, for example, human-computer interaction, psychology, computation linguistics, knowledge management, and pervasive computing. For this reason, the Ph.D. candidate will have the opportunity to explore the virtual digital assistants' domain in order to analyze current open challenges, decide which ones to address, and strategies she/he will use to tackle such challenges. The Ph.D. candidate will also have the opportunity to validate her/his solutions in several real-world settings with the aim of validating her/his work in practice.

Responsible of the project: Mauro Dragoni <dragoni [at]>

2. Artificial Intelligence for education, financed by Fondazione Bruno Kessler - FBK

Description: The aim of this Ph.D project is to explore innovative, technology-based approaches to facilitate playful education for inclusive, collaborative and student-centered learning environments. The project aims to develop semi-automatic and adaptive educational paths, as well as personalized support systems that benefit both educators and learners. This will involve utilizing various technologies and methods, such as end-user programming or multimodal, competence-based learning, to co-create learning activities that consider specific needs and preferences.
The ideal candidate will have a background in Computer Science, Psychology or Cognitive Science, with knowledge of data science, artificial intelligence, and educational theories. Experience in designing interactive digital technologies, conducting experimental and in-the-wild studies, and promoting inclusive, collaborative learning environments would be advantageous and should be gained during the Ph.D training.

Responsible of the project: Massimo Zancanaro <massimo.zancanaro [at]>


The PhD student awarded the scholarship financed by FBK is obliged to maintain confidentiality in regard to the disclosure and use of any information, data, software, discovery, invention, idea, method, process (in any format including the source code) or other knowledge discovered, conceived, developed and/or implemented within the research activities financed relatively not only to the object of the PhD scholarship awarded to the PhD student, but also to possible changes made to the object of the grant as agreed with FBK.


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