Multimedia Systems and Interaction Design

The course aims to provide students with advanced knowledge of
interactive multimedia systems, with a focus on modeling, management,
search, and use of multimedia content in complex and data-driven contexts.
Upon completion of the course, students will be able to:
- understand and design interactive multimedia systems based on advanced
data models;
- apply Information Retrieval and Multimedia Retrieval techniques,
including vector representations and semantic embeddings;
- integrate generative Artificial Intelligence technologies (Large
Language Models, Retrieval-Augmented Generation, conversational agents)
in a controlled and reliable manner;
- evaluate the user experience (UX) and technological acceptance of
multimedia and AI-driven systems;
- analyze the architectural and real-time constraints (QoS and QoE) that
influence the quality of interaction.
The course provides adequate theoretical and methodological preparation
for access to advanced research and industrial development contexts in
multimedia systems and interactive AI.

Knowledge and Understanding.
The student will acquire in-depth knowledge of:
- data models for multimedia content;
- multimedia retrieval and multimodal retrieval architectures;
- text, image, audio, and video retrieval techniques;
- generative AI systems applied to interaction;
- user experience evaluation methodologies.

Ability to apply knowledge and understanding.
The student will be able to:
- design systems for searching and accessing multimedia content;
- use semantic representations and embeddings for retrieval;
- develop RAG pipelines and AI-based conversational systems;
- critically evaluate alternative technological solutions.

Making independent judgments.
The student will develop the following skills:
- critically analyze multimedia and AI-driven architectures;
- evaluate the trade-offs between technical quality and perceived quality;
- Evaluate the reliability, usability, and acceptability of designed
systems.

Communication skills.
The student will be able to:
- clearly and rigorously describe architectures and design solutions;
- discuss technological choices using appropriate technical language;
- present design and experimental results.

Learning skills.
The student will acquire the conceptual tools to:
- independently update themselves on emerging technologies in the field;
- deepen research topics in multimedia, IR, and interactive AI.