ID:
509509
Durata (ore):
28
CFU:
3
SSD:
SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
Anno:
2024
Dati Generali
Periodo di attività
Primo Semestre (30/09/2024 - 20/01/2025)
Syllabus
Obiettivi Formativi
This course provides an introduction to human-system interaction from the design sciences standpoint. The course is specifically and strongly focused on the emerging discipline of Human-AI Interaction: the key concepts, paradigms and guidelines will be presented to explore how such challenging and growing discipline can be applied to design and evaluate intelligent interactive systems from a user-centered and user-driven perspective.
By the end of this module, students will be equipped with a large range of concepts, definitions, frameworks, assessment tools and design principles to apply for enhancing the design and evaluation of interaction with different AI systems in heterogeneous domains and environments. Particular attention and care will be given to the ethical and responsible design any service, system or tool leveraging or exhibiting AI and interacting with end users.
The module is divided into two parts: the first part consists of frontal lectures, where foundational concepts from human-computer interaction and human-AI interaction will be covered. The second part involves project work, where students will apply the explained theories, interaction guidelines and collaboration protocols+ to real-world case studies, enabling them to gain practical knowledge and skills.
Learning Outcomes:
By the end of the module, students will be able to
1. Demonstrate a comprehensive understanding of the impact of the design sciences and the paradigms of human-computer interaction to the design and evaluation of interactive intelligent systems for heterogeneous domains and environments
2. Identify and explain the fundamental principles of user-centered design, usability, and user experience evaluation, together and in synergy with the main human-AI interaction protocols and paradigms, recognizing their significance in creating effective and engaging interactive systems, in an ethical, responsible and human-centered perspective.
3. Apply user-centered design methodologies and human-AI interaction protocols to design and evaluate interactive systems.
By the end of this module, students will be equipped with a large range of concepts, definitions, frameworks, assessment tools and design principles to apply for enhancing the design and evaluation of interaction with different AI systems in heterogeneous domains and environments. Particular attention and care will be given to the ethical and responsible design any service, system or tool leveraging or exhibiting AI and interacting with end users.
The module is divided into two parts: the first part consists of frontal lectures, where foundational concepts from human-computer interaction and human-AI interaction will be covered. The second part involves project work, where students will apply the explained theories, interaction guidelines and collaboration protocols+ to real-world case studies, enabling them to gain practical knowledge and skills.
Learning Outcomes:
By the end of the module, students will be able to
1. Demonstrate a comprehensive understanding of the impact of the design sciences and the paradigms of human-computer interaction to the design and evaluation of interactive intelligent systems for heterogeneous domains and environments
2. Identify and explain the fundamental principles of user-centered design, usability, and user experience evaluation, together and in synergy with the main human-AI interaction protocols and paradigms, recognizing their significance in creating effective and engaging interactive systems, in an ethical, responsible and human-centered perspective.
3. Apply user-centered design methodologies and human-AI interaction protocols to design and evaluate interactive systems.
Prerequisiti
No formal prerequisites are required for this course. The basic concepts of human-computer interaction will be outlined at the beginning of the course. However, students are encouraged to deepen their baseline knowledge, if any, by following the recommended readings in the coursework.
Metodi didattici
The course is based on the following teaching methods:
- Frontal lectures.
- Guided practical work: group activities
The topics of this module are totally complementary and synergistically designed with respect to the syllabus of the other module of the course. Therefore, the integration between the two modules will allow students to gain a comprehensive and inter-disciplinary perspective on the overall course topics.
- Frontal lectures.
- Guided practical work: group activities
The topics of this module are totally complementary and synergistically designed with respect to the syllabus of the other module of the course. Therefore, the integration between the two modules will allow students to gain a comprehensive and inter-disciplinary perspective on the overall course topics.
Verifica Apprendimento
- Written exam on textbook and lecture handouts.
- Presentation (oral) of the working project developed during the course: the project will be carried out in groups composed of 3-4 students.
- Elective activities: paper readings and analyses, opportunity to participate in a practical research activity. Such opportunities will allow students to gain further points for the overall evaluation.
- Presentation (oral) of the working project developed during the course: the project will be carried out in groups composed of 3-4 students.
- Elective activities: paper readings and analyses, opportunity to participate in a practical research activity. Such opportunities will allow students to gain further points for the overall evaluation.
Testi
Study readings will be indicated during the course. The students are encouraged to follow the suggested readings and also to autonomously deepen their knowledge by exploring the related literature.
Contenuti
1) Introduction to Human-AI Interaction (HAII) and course overview
2) Technological paradigms and tools for HAII
3) Methodological and conceptual paradigms for HAII
4) Ethical Artificial Intelligence: perspectives and assessment
5) Usability in AI
6) HAII protocols: opportunities and risks
7) Main evaluation concepts and methodologies
8) Cognitive impact assessment of AI and associated methodologies (Human-AI Reliance)
9) Interaction modalities and possible scenarios
10) Future and global perspectives
2) Technological paradigms and tools for HAII
3) Methodological and conceptual paradigms for HAII
4) Ethical Artificial Intelligence: perspectives and assessment
5) Usability in AI
6) HAII protocols: opportunities and risks
7) Main evaluation concepts and methodologies
8) Cognitive impact assessment of AI and associated methodologies (Human-AI Reliance)
9) Interaction modalities and possible scenarios
10) Future and global perspectives
Lingua Insegnamento
INGLESE
Corsi
Corsi
ARTIFICIAL INTELLIGENCE
Laurea
3 anni
No Results Found
Persone
Persone (2)
Docente
Docente
No Results Found