My Emotive Bot


These last six weeks I tried to give my hacked robot behaviour and make it more alive for the person to interact with it easily. My aim was to investigate the possibility of replacing behaviour based language instead of verbal language among human and his personalised robot.

Similar Works 

One of my favourite related works was the AUR desk lamp by Guy Hoffman (2007). This robot had the feature of Pixar desk lamp and it was able to predict where the person is going to look at. The core features of this project which made it successful in my perspective were that it maintained the relationship between human and robot based on behavioural language, the robot retained its objectness and it was able to become a sufficient companion to the human in workspaces.

Bio-Sensing

I tried to manipulate the behaviours of my personalised robot by biometrics. There are several pieces of research and case studies about robots and biosensing and the possibilities of it in art, installations, performances, therapy and et cetera.

 

In this state, I tried to measure finger pressure, heart rate and skin moisture. I simulated both emotive and mobile behaviours of the robot.

Last Thursday, in project fair, I received interesting and unexpecting comments on my robot. To sum up, most of the crits told me to have a solid, simple idea about this personalised robot. Why I want to hack human body through sensors and what is the result of this biometrics. what are the core features of my personalized robot and to what extends it is going to affect human life?

for further steps, I want to focus on biohacking and mostly the output of the biohacking process, the resulting behaviour of biometrics and the behaviour of my personalised robot. I will make mock situations of my robot in an installation, home, workspace and et cetera in order to find the best possible solution for its context. In addition, I want to learn about existing RL algorithms (Bayesian RL) which are out there to simulate the mental state of humans.

 

 

Parvin Farahzadeh via Interactive Architecture Lab http://bit.ly/2GlCnzn

Yorumlar

Yorum Gönder

Bu blogdaki popüler yayınlar

2017 CMYK Color Swatch Calendar

Resim
Après les éditions 2014, 2015 et 2016 , le graphiste et designer Peter von Freyhold revient avec l’édition 2017 de son CMYK Color Swatch Calendar . Chaque jour de l’année dispose d’un petit onglet de couleur à détacher. Il est donc possible de créer des petits nuanciers de couleur, à l’aide des attaches disponibles. Un calendrier idéal pour les amoureux de design. L’objet est disponible à la vente ici . , Léa, via Fubiz Media http://ift.tt/2e1Vnqo
Devamı

Wood Urbanism

Resim
Wood Urbanism: From the Molecular to the Territorial Daniel Ibañez, Jane Hutton, Kiel Moe (Editors) Actar Publishers , November 2019 Hardcover | 8 x 10-1/4 inches | 488 pages | English | ISBN: 978-1945150814 | $54.95 PUBLISHER'S DESCRIPTION : Wood holds unique and timely lessons for urbanization, yet it remains inadequately characterized in architecture, landscape architecture, and urbanism. From under-considered thermal properties to emerging manufacturing possibilities, from changing forestry regimes to larger carbon cycle dynamics, Wood Urbanism explores the unique material and scalar properties of wood, presenting it as a critical material for design today. It brings into conversation scholars and practitioners who focus on wood from a range of perspectives: from the working forest to the mid-rise building to the basic cell. Drawing from the inherent intelligence and depth of multiple disciplines, this book offers a transcalar perspective on the role of wood in cont
Devamı

Building a gentrification early warning system with big data

Resim
But what if there were a way to see gentrification long before the coffee shops, condos and Whole Foods appear? What if city planners and neighborhoods had an early warning system that could sniff out the changes just as they begin? [...] neighborhood advocates would have the opportunity to implement policies ranging from reserving affordable housing units to educating residents of their renting rights to helping small businesses negotiate long-term lease extensions. In his NPR piece, astrophysics professor Adam Frank explains how various big data sets, like housing prices, eviction records, census data, or social media usage, can be utilized for "predictive analytics" to detect early onsets of gentrification for specific neighborhoods at an increasingly high resolution — and what significant perils come with it. Alexander Walter via Archinect - News http://ift.tt/2wjDBoB
Devamı