ID:
509510
Durata (ore):
28
CFU:
3
SSD:
PSICOLOGIA GENERALE
Sede:
MILANO BICOCCA
Anno:
2026
Dati Generali
Periodo di attività
Primo Semestre (28/09/2026 - 15/01/2027)
Syllabus
Obiettivi Formativi
This module introduces human-system interaction from a psychological standpoint, with attention to contemporary interactive systems, including AI-enabled and agentic systems. The module explores human capabilities and behavior in the design and evaluation of interactive information systems. Relevant theories and research from cognitive psychology will be examined to understand how perception, attention, memory, emotion, embodied cognition, and human factors shape the way people interact with technologies.
The module is divided into two parts. The first part consists of lectures covering foundational concepts in cognitive ergonomics, Human-Computer Interaction (HCI), interaction design, and Human-AI Interaction. It includes a concise review of key topics in cognitive psychology, such as perception, attention, memory, emotion, and embodied cognition, and discusses their implications for the design of traditional interfaces, intelligent systems, conversational agents, adaptive systems, and AI agents. Particular attention will be devoted to how users perceive, understand, monitor, and evaluate interactive systems that are increasingly adaptive, probabilistic, and autonomous. The second part involves project work, where students apply the psychological theories and design principles introduced in the first part to real-world case studies. Through the analysis and redesign of interactive systems, including AI-based systems where appropriate, students will develop practical knowledge and skills for evaluating human-system interaction from a cognitive, affective, and human-centered perspective.
Learning Outcomes
By the end of the module, students will be able to:
- Demonstrate a comprehensive understanding of current human factors theories and research to examine interactive systems, including AI-enabled and agentic systems.
- Analyze interactive systems by drawing on principles and theories from human information processing, embodied cognition, emotion, and Human-AI Interaction.
- Apply principles and theories from cognitive psychology to design and evaluate interactive systems, with attention to users’ capabilities, limitations, goals, expectations, and experience.
The module is divided into two parts. The first part consists of lectures covering foundational concepts in cognitive ergonomics, Human-Computer Interaction (HCI), interaction design, and Human-AI Interaction. It includes a concise review of key topics in cognitive psychology, such as perception, attention, memory, emotion, and embodied cognition, and discusses their implications for the design of traditional interfaces, intelligent systems, conversational agents, adaptive systems, and AI agents. Particular attention will be devoted to how users perceive, understand, monitor, and evaluate interactive systems that are increasingly adaptive, probabilistic, and autonomous. The second part involves project work, where students apply the psychological theories and design principles introduced in the first part to real-world case studies. Through the analysis and redesign of interactive systems, including AI-based systems where appropriate, students will develop practical knowledge and skills for evaluating human-system interaction from a cognitive, affective, and human-centered perspective.
Learning Outcomes
By the end of the module, students will be able to:
- Demonstrate a comprehensive understanding of current human factors theories and research to examine interactive systems, including AI-enabled and agentic systems.
- Analyze interactive systems by drawing on principles and theories from human information processing, embodied cognition, emotion, and Human-AI Interaction.
- Apply principles and theories from cognitive psychology to design and evaluate interactive systems, with attention to users’ capabilities, limitations, goals, expectations, and experience.
Prerequisiti
No formal prerequisites are required for this module.
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 interdisciplinary 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 interdisciplinary perspective on the overall course topics.
Verifica Apprendimento
The final assessment consists of two components: a written exam and an oral exam based on the group project developed during the course.
The written exam assesses students’ understanding of the topics covered in the lectures and in the teaching materials provided during the module. The test consists of multiple-choice questions and lasts 30 minutes. It focuses on foundational concepts, theories, and methods related to cognitive psychology, human factors, Human-Computer Interaction, Human-AI Interaction, and the design and evaluation of interactive systems.
Students who pass the written exam are admitted to the oral exam. The oral exam consists of the presentation and discussion of a group project developed during the course. The project is carried out in groups of 3-4 students and requires students to apply the theoretical concepts and methodological tools introduced in the module to the analysis and/or redesign of a real-world interactive system.
The project presentation will be evaluated with reference to the clarity of the problem definition, the appropriateness of the theoretical concepts used, the quality of the analysis, the soundness of the proposed design or evaluation approach, the ability to connect psychological principles to design choices, and the clarity of the oral presentation and discussion.
The final grade is calculated as the sum of the scores obtained in the written exam and in the oral project presentation.
The written exam assesses students’ understanding of the topics covered in the lectures and in the teaching materials provided during the module. The test consists of multiple-choice questions and lasts 30 minutes. It focuses on foundational concepts, theories, and methods related to cognitive psychology, human factors, Human-Computer Interaction, Human-AI Interaction, and the design and evaluation of interactive systems.
Students who pass the written exam are admitted to the oral exam. The oral exam consists of the presentation and discussion of a group project developed during the course. The project is carried out in groups of 3-4 students and requires students to apply the theoretical concepts and methodological tools introduced in the module to the analysis and/or redesign of a real-world interactive system.
The project presentation will be evaluated with reference to the clarity of the problem definition, the appropriateness of the theoretical concepts used, the quality of the analysis, the soundness of the proposed design or evaluation approach, the ability to connect psychological principles to design choices, and the clarity of the oral presentation and discussion.
The final grade is calculated as the sum of the scores obtained in the written exam and in the oral project presentation.
Testi
Study readings will be indicated during the module.
Contenuti
Part I - Essentials of Cognitive Psychology for Interactive Systems
Introduction to cognitive psychology for Human-Computer Interaction and Human-AI Interaction
- Overview of cognitive psychology and its relevance to HCI and Human-AI Interaction
- From traditional interactive systems to intelligent, adaptive, and agentic systems
Human factors for interactive systems
- Cognitive processes and their role in human-system interaction
- Perception, attention, memory, and their implications for interface design
- Cognitive workload, cognitive offloading, and human supervision
- Embodied cognition and its implications for interaction design
- Emotion, emotional interaction, affective computing, and Emotional AI
Part II - Human Factors for HCI and Human-AI Interaction in Practice
- Introduction to real-world cases and examples in HCI and Human-AI Interaction
- Human factors evaluation: methods and techniques
- Analysis of users’ capabilities, limitations, goals, expectations, and experience
- Project development
Introduction to cognitive psychology for Human-Computer Interaction and Human-AI Interaction
- Overview of cognitive psychology and its relevance to HCI and Human-AI Interaction
- From traditional interactive systems to intelligent, adaptive, and agentic systems
Human factors for interactive systems
- Cognitive processes and their role in human-system interaction
- Perception, attention, memory, and their implications for interface design
- Cognitive workload, cognitive offloading, and human supervision
- Embodied cognition and its implications for interaction design
- Emotion, emotional interaction, affective computing, and Emotional AI
Part II - Human Factors for HCI and Human-AI Interaction in Practice
- Introduction to real-world cases and examples in HCI and Human-AI Interaction
- Human factors evaluation: methods and techniques
- Analysis of users’ capabilities, limitations, goals, expectations, and experience
- Project development
Lingua Insegnamento
INGLESE
Corsi
Corsi
ARTIFICIAL INTELLIGENCE
Laurea
3 anni
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Persone
Persone (2)
Docente
Docente
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