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Scheda Riassuntiva
Anno Accademico 2021/2022
Scuola Scuola del Design
Insegnamento 052760 - PROFESSIONAL WORKSHOP
Docente Colombo Sara
Cfu 6.00 Tipo insegnamento Tirocinio
Didattica innovativa L'insegnamento prevede  6.0  CFU erogati con Didattica Innovativa come segue:
  • Cotutela con mondo esterno

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Nome Sezione Insegnamento
Des (Mag.)(ord. 270) - BV (1262) DIGITAL AND INTERACTION DESIGN***AZZA052760 - PROFESSIONAL WORKSHOP

Obiettivi dell'insegnamento
 

Risultati di apprendimento attesi
 

Argomenti trattati

PROFESSIONAL WORKSHOP:
Undefined self. Designing for ambiguity in self-tracking data representation.
Prof.ssa Sara Colombo
Wearable sensors and systems for self-tracking are becoming pervasive and represent
a fast-growing field of research and practice at the intersection of design, HCI, data
science, and IoT. Such systems also raise questions about ethical and social aspects
connected to their widespread use, such as risks related to the digital and quantified
self and the impact of personal data representation on self-perception and behavior.
The current approach to personal data visualization by self-tracking devices is mostly
based on screen-based interfaces, quantitative data, numbers, and graphs, which
strive to convey an objective and univocal representation of personal data. However,
this approach has shortcomings due to the inner presence of ambiguity in the data
selection and visualization (on the designers’ side), perception and sense-making (on
the user’s side).

In this workshop, you will explore new design paths for the next generation of data
visualizations for self-tracking systems, by using ambiguity as a design lever and
inspiration. You will generate either market-oriented solutions or speculative, critical,
and explorative artifacts aimed at representing personal data and reflecting on their
impacts on users.
We encourage the design of innovative, ground-breaking, and thought-provoking
sensory and tangible/physical artifacts, including dynamic on-body and multi-sensory
data representations.


Prerequisiti
 

Modalità di valutazione
 

Bibliografia

Software utilizzato
Nessun software richiesto

Forme didattiche
Tipo Forma Didattica Ore di attività svolte in aula
(hh:mm)
Ore di studio autonome
(hh:mm)
Lezione
35:00
70:00
Esercitazione
0:00
0:00
Laboratorio Informatico
0:00
0:00
Laboratorio Sperimentale
0:00
0:00
Laboratorio Di Progetto
15:00
30:00
Totale 50:00 100:00

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese

Note Docente
schedaincarico v. 1.7.2 / 1.7.2
Area Servizi ICT
01/07/2022