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Oggetto:

Intelligent User Interfaces

Oggetto:

Intelligent User Interfaces

Oggetto:

Anno accademico 2018/2019

Codice attività didattica
INF00
Docenti
Federica Cena (Titolare del corso)
Prof. Cristina Gena (Titolare del corso)
Luca Console (Titolare del corso)
Corso di studio
PhD in Computer Science
Anno
1° anno, 2° anno, 3° anno
Tipologia
A scelta dello studente
Crediti/Valenza
3
SSD attività didattica
INF/01 - informatica
Erogazione
Tradizionale
Lingua
Inglese
Frequenza
Facoltativa
Tipologia esame
Relazione finale
Prerequisiti
An introductory course in Artificial Intelligence, at bachelor level
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Sommario del corso

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Obiettivi formativi

Introduction to Intelligent User Interfaces (IUIs) and their main features  that leverage  the symbiosis between humans and computers by merging two research fields: Artificial Intelligence (AI) and Human-Computer Interaction (HCI). This may involve including intelligent capabilities in the interface in order to improve performance, usability and experience in critical ways. It may also involve designing an interface that effectively leverages human skills and capabilities, so that human performance with an application improves.  IUIs  capabilities  have traditionally been associated more  with humans than with computers: how to perceive, interpret, learn, reason, plan, and decide.

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Risultati dell'apprendimento attesi

At the end of the course students will have to demonstrate their ability to add intelligence to user interfacases in order to improve their capability and usability.

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Programma

1. User and context modeling, semantic-based user model: an overview on the techniques for gathering  user data (interest, knowledge, emotional level, etc),  to infer user features from user behaviour, for creating and udpdating the user model; application on semantics on user modeling (Federica Cena)
2. Introduction to automated problem solving in knowledge based systems.  Managing knowledge, inference from knowledge. Introduction to the basic reasoning patterns and their application in intelligent user-adapted interaction (Luca Console)
3. Analysis of user input: emotion recognition through facial expressions, analysis of user gestures, brain wave analysis through Brain Computer Interfaces (BCI) (Cristina Gena)
4. Adaptive Output generation:  modalities to exploit the data in the user modeling for the generation of the  interfaces that are adaptive to user features,  examples of state of art adaptive systems and context aware systems (Federica Cena)
5.  Adaptive Output generation: Multimodal Interfaction with Gestural Interfaces and Social Robot  (Cristina Gena)

 

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Modalità di insegnamento

18  hours  of lesson in total (3 CFU), which take place in classroom with the help of projections. 

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Modalità di verifica dell'apprendimento

Knowledge and skills  will be verified through an individual/group project  developed  and submitted according to given requisites 

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Attività di supporto

Seminars will be planned to deepen trend topics

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Testi consigliati e bibliografia

Slides of the course, available online on this web site.

Scientific articles will be also distributed to students regarding the topics discussed in class

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Note

 

 The course will be held in September 2019: 

 

  • venerdi 6 settembre: 10-13 sala riunioni
  • martedi 10 settembre: 10-13  sala riunioni
  • giovedi 12 settembre: 10-13  sala riunioni
  • martedi 17 settembre: 10-13  sala riunioni
  • giovedi 19 settembre: 10-13 aula D
  • venerdi 20 settembre: 10-13 sala riunioni

 

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