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INTERACTIVE SYSTEMS AND AFFECTIVE COMPUTING
DANIELE MAZZEI
Academic year2020/21
CourseBIONICS ENGINEERING
Code916II
Credits12
PeriodSemester 1 & 2
LanguageItalian

ModulesAreaTypeHoursTeacher(s)
AFFECTIVE COMPUTINGING-INF/06LEZIONI60
MIMMA NARDELLI unimap
ENZO PASQUALE SCILINGO unimap
INTERACTIVE SYSTEMSINF/01LEZIONI60
LORENZO COMINELLI unimap
DANIELE MAZZEI unimap
Learning outcomes
Knowledge

AFFECTIVE COMPUTING: Students will gain knowledge about theories of emotion and mood disorders. Specifically they will learn how to model emotions and how to correlate them to the patterns of physiological signals.  

DESIGN OF INTERACTIVE ROBOTS AND MACHINES: students will acquire knowledge related to the world of human computer and humna robot interaction. Foundalmetals of design and development of interactive systems will be introduced together with most used software and hardware developing platforms.

Assessment criteria of knowledge

AFFECTIVE COMPUTING: The gained knowledge will be assessed through ongoing tests.

DESIGN OF INTERACTIVE ROBOTS AND MACHINES: The gained knowledge will be assessed through ongoing tests and with a final project to be discussed during the exam oral session.

Skills

AFFECTIVE COMPUTING: Students will be able to process physiological data applying advanced linear and nonlinear methods trying to correlate that to the emotional experiences.   

DESIGN OF INTERACTIVE ROBOTS AND MACHINES: students will be able to design and define (in functional terms) a human-machine behavior and relationship scheme for a smart object, robot or digital device. Studentes will be also able to design a prototype aimed at testing the intercatcive capabilities of a smart object or robot.

Assessment criteria of skills

AFFECTIVE COMPUTING: It is planned a final project with an experimental paradigm. 

DESIGN OF INTERACTIVE ROBOTS AND MACHINES: final project with oral presentation and discussion

Behaviors

AFFECTIVE COMPUTING: Real experimental data will be collected with a suitable protocol 

 

DESIGN OF INTERACTIVE ROBOTS AND MACHINES: student will be able to acquire and/or develop sensitivity to the problems of social and hemapic interaction between humans and robots and between humans and machines. The students will be also able to manage responsibility for the execution and formalization of an interactive product design project

 

Assessment criteria of behaviors

AFFECTIVE COMPUTING: Assessment will be done through the design a final experimental protocol

DESIGN OF INTERACTIVE ROBOTS AND MACHINES: Assessment will be done through the evaluatio of the final project

Prerequisites

N/A

Co-requisites

N/A

Prerequisites for further study

N/A

Teaching methods

AFFECTIVE COMPUTING: Frontal lesson and laboratory practice

DESIGN OF INTERACTIVE ROBOTS AND MACHINES: Frontal lesson and in-class practice

Syllabus

AFFECTIVE COMPUTING:

Neurophysiology of emotion: limbic system, prefrontal cortex, emispheres and insular cortex. Autonomic nervous system: fight or flight and rest and digest theories

Primary and secondary emotions and decision making

Theories of emotion and computational models

ECG: elettrophysiology, leads,  circuit design

Pan-Tompkins algorithm. Respiration activity: physiology and methods of acquisition

ECG and respiration monitoring systems: contact and contactless

Cardio-pulmonary coupling and biofeedback

HRV signal: feature extraction in time and frequency domains

Respiration signal: feature extraction, Introduction to non-linear analysis

Linear stability analysis and Takens theorem

Phase space reconstruction, Fractals, correlation dimension and Lyapunov exponents

Hurst exponent, detrended fluctation analysis, approximate end sample entropy algorithms

Fuzzy and distribution entropy algorithms, Multiscale entropy algorithm

Multivariate algorithms, Poincaré plot, symbolic analysis

Brain emotional computer interfaces

Eye tracking: working principle, systems and applications

Affective haptics

EEG emotion classification

Mood disorders

EEG mental disorders

Emotional face detection

Electrodermal activity: physiology, models, methods of analysis and feature extraction

Speech and voice processing: models, methods of analysis and feature extraction

 

DESIGN OF INTERACTIVE ROBOTS AND MACHINES:

    • Introduction: foundamentals of human-robot and human-machine interaction, Definition of social robot and smart object, examples of human-robot and human-machine interaction paradigm and artifacts, example of human like social robots, Definition of smart objects and internet of things (IOT) device 
    • Interactive systems control paradigms 
    • Internet of things and ubiquitous devices
    • AI for robots and inteacrtive systems: Intelligent Agents, Expert Systems, The Embodied Mind
    • Smart systems perception: basics of sensors, actuators, and acquisition devices 
    • Prototyping and pretotyping 
    • Programming a smart device 
Bibliography

both modules: Notes provided by the teacher

Non-attending students info

N/A

Assessment methods

both modules: Practical and oral test

Work placement

DESIGN OF INTERACTIVE ROBOTS AND MACHINES: final projects based on problems and challenges proposed by companies are available on request

Additional web pages

N/A

Notes

N/A

Updated: 04/08/2020 13:20