ID
Name
#00
Tangible Algorithm
#01
[ATLARC]
#02
HTML37
#03
D4T
#04
edee
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Hi there! I’m Alessandro, an Italian Designer. Actually I’m finishing up my Master’s in
Interaction Design after earning a Bachelor’s in Visual Communication. I’ve always been fascinated
by the intersection of technology and creativity, which has led me to explore everything from coding
and electronics to designing interactive experiences.
When I’m not working on projects (it rarely happens), you can find me enjoying the great outdoors,
whether it’s by the sea or on a road trip. I’m also a big fan of video games, cars and last but
absolutely not least cats. I love diving into the details and get lost in them, but I also like to find order
in the chaos-that’s why I am so fascinated by data-driven art and design and data visualization. I’m
eager to take on new challenges and see where my passions and skills can take me next!
For inquiries
alessandroplanterasw@gmail.com
@alessandro_plantera
Curriculum
Sep 2020 - Sep 2023
SUPSI, BA Visual Comunication
Oct 2023 - Ongoing
SUPSI, MA Interaction Design
Apr 2023 - Aug 2024
RSI SSR SRG, Motion Designer
Feb 2024 - Sep 2024
Tangible Algorithm
Jun 2024 - Sep 2024
Spearhead Makeaware
#00
Tangible Algorithm
Abstract
This exhibition aims to redefine photography in the age of automation, providing
a dynamic exploration of contemporary visual culture. Showcasing interactive and
robotic installations, it delves into the possibilities of experiencing
photography through innovative metadata, while also highlighting the biased
perspective of today's artificial intelligence.
Type
Interactive
Installation
Date
2024 - Now
Team
Alice
Mioni
Alessandro Plantera
Sophie Sprugasci
Alessandro Plantera
Sophie Sprugasci
Client
Torino Foto Festival
- EXPOSED
City
Turin, IT
Support
Abstract
Atlarc wants to be an innovative intersection of digital humanities and
machine
learning technologies, with the goal of revolutionizing access, analysis,
and
preservation of
architectural heri- tage. This system of generous interfaces makes available
a
large corpus of architectural works, cataloged through machine learning
algorithms, making cultural heritage easily accessible and interactive.
Atlarc
emerges as the result of a collaboration with Glossa, a parallel initiative
developed by the SUPSI Institute of Design in Mendrisio, Italy. Glossa
serves as
an encyclo- pedic resource for architecture students on
the campus of the eponymous name, created with the intention of filling the
lack
of an online platform provided with
systematically cataloged study materials in the field of architecture. In
this
context, Atlarc accepts the challenge of
exploring the capabilities of machine learning as an effecti- ve tool for
generating accurate and meaningful metadata.
In parallel, the project undertakes to investigate the potential of data
visualization as a means of presenting the
archive, once organized and cataloged, in an intuitive and engaging way to a
broad and interested audience.
The project addresses a widespread problem in digital heritage platforms:
the
lack of effective presentation of content to the public. Atlarc addresses
this
critical issue,
aiming to avoid the 'digital death' of cultural heritage: if the interface
is
not inviting, users may not be incentivized to explore the archive, similar
to
museum visits.
How can machine learning assist in cataloging a large body of architectural
data?
How can data visualization facilitate the explora- tion of a digital archive
and
the digital humanities more generally?
Atlarc, focused on architecture but designed to be scalable to other areas
of
cultural heritage, is proposed as a tool that encourages serendipity
in the navigation process. It offers intuitive and contextualized
visualizations
to the user, signi- ficantly enriching the experience of exploring
the vast archive. The project is aimed primarily
at students, enthusiasts and amateurs of archi- tecture, but it has the
potential to appeal to a much wider audience. Atlarc can serve both as an
in-depth study tool for students and researchers and as an interactive
component
for museum installations.
In addition to providing intuitive and detailed access to a vast archive of
architectural works, Atlarc employs advanced data visualization tech- niques
that go beyond simply exploring known information. In fact, these
visualizations
are desi- gned to stimulate the user to make unexpected connections and
discover
new patterns and relationships between works, thus enriching the
understanding
of architectural heritage in dynamic and innovative ways.
Keep Reading
Type
Digital Humanities
Archive
Date
2023-2024
Team
Alessandro
Plantera
Client
Bachelor Thesis -
SUPSI
City
Mendrisio, CH
Support
Supervisor:
Giovanni
Profeta
Abstract
Drawing inspiration from the versatility and ease of use of the MDLR37 music
synthesiser,
we decided to reimagine it in another scenario:
What if a developer needed something fast to create wireframes to send as code to his PC? Something portable would be perfect. This is where the HTML37 wireframe builder comes in is the HTML37 wireframe builder.
What if a developer needed something fast to create wireframes to send as code to his PC? Something portable would be perfect. This is where the HTML37 wireframe builder comes in is the HTML37 wireframe builder.
Keep Reading
Type
Digital Humanities
Archive
Date
2023-2024
Team
Alessandro
Plantera
Client
Bachelor
Thesis - SUPSI
City
Mendrisio, CH
Support
Abstract
D4T supports users wanting to make eco-friendly purchases in fashion. During
the
moment of purchase, D4T helps users understand the impact of a fashion item
in
terms of Water usage, CO2 and microplastics production. The core principle
of
D4T revolves around swiftly and efficiently acquiring essential
information.As
our understanding of the environmental consequences of our actions deepens,
there is a growing imperative to develop more sustainable and eco-friendly
solutions. This is particularly crucial in the context of fast fashion,
where
rapid production and disposal contribute significantly to environmental
degradation. Product design now prioritizes materials and processes that
reduce
carbon footprints, minimize waste, and promote a circular economy. Services
are
also adapting to address climate challenges, offering energy-efficient
solutions, transportation alternatives, and eco-conscious practices. The
shift
towards climate-responsible design is not only a response to the urgent need
for
environmental preservation but also a recognition that businesses and
industries
can thrive by aligning with a more sustainable and environmentally conscious
future.
Keep Reading
Type
UX-UI
Date
2023
Team
Alessandro Plantera
Alice Mioni
Ka Young Lee
Vittorio Pace
Alice Mioni
Ka Young Lee
Vittorio Pace
Client
Master Course
City
Mendrisio, CH
Support
Abstract
Why Now?
Twenty years ago, in the U.S., 1 in 150 children received a diagnosis of
Autism
Spectrum Disorder (ASD). Since then, this number has seen a significant
increase,
with 4 in 150 children now being diagnosed with ASD in the U.S.[1] The
prevalence of
autism is increasing, and a fundamental aspect of ASD is its diversity. Each
individual
with ASD possesses unique needs, preferences, strengths, and challenges.
With generative AI, we believe we now possess the technology to craft
limitless
user
journeys, tailoring experiences to meet each user’s distinct needs. This
sentiment is
further underscored by the findings of over 13,000 research studies,
highlighting a
growing inclination towards AI integration in assistive technologies for
autism.[2]
Keep Reading
Type
UX-UI
Date
2023
Team
Ka Young Lee
Davide Vitrano
Alessandro Plantera
Anna Freri
Vittorio Gennuso
Davide Vitrano
Alessandro Plantera
Anna Freri
Vittorio Gennuso
Client
Master Course
City
Mendrisio, CH
Support