Computationally Supported Collective Science (CS^2)

Lecturer : 
Antti Honkela, Antti Oulasvirta, and Samuel Kaski
Event type: 
HIIT seminar
Event time: 
2011-04-04 13:15 to 14:00
Place: 
Computer Science Building, Hall T2

Black Swan vs. Lionel Messi: Measuring the Information Capacity of the Human Motor System with an Extended Framework

Lecturer : 
Antti Oulasvirta & Teemu Roos
Event type: 
HIIT seminar
Event time: 
2011-04-29 10:15 to 11:00
Place: 
Kumpula Exactum C222
Description: 

Talk announcement:
HIIT Seminar Kumpula, Friday April 29 10:15, Exactum C222

SPEAKER:
Antti Oulasvirta & Teemu Roos
HIIT

TITLE:
Black Swan vs. Lionel Messi: Measuring the Information Capacity of the
Human Motor System with an Extended Framework

ABSTRACT:
Fitts’ law is a fundamental tool in understanding the capacity of the
human motor system. It measures information throughput in terms of the
tradeoff between the speed and accuracy of motor responses. Although
immensely popular, the paradigm in which Fitts’ law is the principal
keystone is confined to relatively simple responses in strictly
prescribed stimulus response conditions. Our goal is to generalize the
framework into completely unconstrained movement. The proposed new
metric is based on a subject’s ability to accurately reproduce a
learned movement pattern. It can accommodate recorded movement of any
duration and composition, and involving contributions of any part of
the body. We demonstrate the proposed method by analyzing publicly
available motion capture data. Possible applications include
human-computer interaction, sports science, and clinical diagnosis.


Welcome!
--Matti Järvisalo

Book Publishing Seminar: The Future of Domestic Photography

Event type: 
Event
Event time: 
2011-03-30 14:00 to 16:00
Place: 
Finnish Museum of Photography (Suomen valokuvataiteen museo), Kaapelitehdas, Tallberginkatu 1G, 00180 Helsinki
Description: 

Welcome to a public seminar on the future of domestic digital photography. The seminar celebrates the publication of the book

From snapshot to social media: the changing picture of domestic photography (Springer 2011)

by Risto Sarvas and David M Frohlich. The book is pioneering work in combining the technically oriented computer science work on photography with more traditional studies of domestic photography. The book is also the first to chart a socio-technical history of domestic and snapshot photography from the invention of photography in 1839 to current and future trends in the 21st century.

In the seminar we will hear two keynote presentations. Elina Heikka will discuss domestic photography from the perspective of traditional photography, and Markus Huttunen will talk about digital media from the perspective of business strategies. Following these keynotes the two authors will present the central messages and points of the book. After these talks there is time reserved for a general discussion. The speakers and their affiliations are:

Elina Heikka, Director of the Finnish Museum of Photography
Markus Huttunen, Managing Director and Partner of Magenta Advisory Ltd
David M Frohlich, Director of Digital World Research Centre, University of Surrey, UK
Risto Sarvas, Research Scientist at the Helsinki Institute for Information Technology HIIT, Aalto University

Please confirm your attendance by sending an email to risto.sarvas(at)hiit.fi by March 28th. Also, do not hesitate to contact Risto Sarvas for any questions related to the event or the book.

Follow the book on Facebook!

Black Swan vs. Lionel Messi: Measuring the Information Capacity of the Human Motor System with an Extended Framework

Lecturer : 
Teemu Roos and Antti Oulasvirta
Event type: 
HIIT seminar
Event time: 
2011-03-28 13:15 to 14:00
Place: 
Computer Science Building, Hall T2
Description: 

 

Our next talk for HIIT Otaniemi seminar series will be a joint talk by Teemu Roos and Antti Oulasvirta from the Helsinki Institute for Information Technology HIIT.
 
All ICS@Aalto researchers are also warmly welcome to attend the seminar!
 
HIIT Otaniemi Seminar, Monday March 28, 13:15
Location: Computer Science Building, Hall T2
 
Teemu Roos
Helsinki Institute for Information Technology HIIT
University of Helsinki
Department of Computer Science
 
Antti Oulasvirta
Helsinki Institute for Information Technology HIIT
 
Title:
Black Swan vs. Lionel Messi: Measuring the Information Capacity of the Human Motor System with an Extended Framework
 
Abstract:
Fitts’ law is a fundamental tool in understanding the capacity of the human motor system. It measures information throughput in terms of the tradeoff between the speed and accuracy of motor responses. Although immensely popular, the paradigm in which Fitts’ law is the principal keystone is confined to relatively simple responses in strictly prescribed stimulus response conditions. Our goal is to generalize the framework into completely unconstrained movement. The proposed new metric is based on a subject’s ability to accurately reproduce a learned movement pattern. It can accommodate recorded movement of any duration and composition, and involving contributions of any part of the body. We demonstrate the proposed method by analyzing publicly available motion capture data. Possible applications include human-computer interaction, sports science, and clinical diagnosis.
 
Welcome! 
 
-- 
Mehmet Gönen
Helsinki Institute for Information Technology HIIT
Department of Information and Computer Science
Aalto University School of Science
 

 

Segmented Nestedness in Binary Data

Lecturer : 
Esa Junttila
Event type: 
HIIT seminar
Event time: 
2011-03-25 10:15 to 11:00
Place: 
Kumpula Exactum C222
Description: 

Talk announcement:
HIIT Seminar Kumpula, Friday March 25 10:15, Exactum C222

SPEAKER:
Esa Junttila
University of Helsinki

TITLE:
Segmented Nestedness in Binary Data

ABSTRACT:
Given a data matrix, we can reveal its hidden structure
by permuting the rows and columns. A binary dataset is
nested if every row is a subset or superset of every other row.
Our goal is to develop automatic methods for finding whether
a dataset can be described as a combination of k nested patterns,
even if the data contains noise and errors.
Recognizing k-nestedness takes polynomial time in noise-free case,
but finding a closest k-nested matrix is NP-hard.
We propose heuristic algorithms for k-nestedness
and an MDL-based model for selecting k. Experimental
results show that k-nestedness exists in real-world
datasets, such as in occurrences of mammals in Europe.


Welcome!
--Matti Järvisalo

Pages