Embed Size (px)
DESCRIPTION
challenges and opportunities of applying social media to designing human computation systems and applications
Citation preview
Welcome, introduction and discussion Jasminko Novak
Univ. of Applied Sciences Stralsund / European Institute for Participatory Media, Berlin
Martha Larson TU Delft, Multimedia Information Retrieval Lab
http://www.eipcm.org/sohuman2012 [email protected]
SoHuman2012 @IEEE Social Computing,Amsterdam, Sept 3, 2012
Goals of the workshop
Explore challenges and opportunities of applying social media
to designing human computation systems and applications
Discuss practical challenges and experiences with applications of
social media to human computation
Can we identify specific problem classes / use cases particularly
suited for new kinds of applications?
Enrich the technology-driven perspective strongly present in AI
and multimedia retrieval with a user-centered view
Stimulate the discussion on best-practices in this still young and
quickly growing field
Theme
Human Computation
Human users as task-solvers within
computational systems
Solving complex tasks that are easy for
humans but difficult for purely
computational approaches
Requires large numbers of participants
financial rewards, fun…
Social Media
Support online social interaction,
information exchange, coordination and
collective action
Can provide enabling methods and
technologies for human computation
Theme
Human Computation vs. Crowdsourcing
“Whereas human computation replaces
computers with humans, crowdsourcing
replaces traditional human workers with
members of the public.”
(Quinn & Bederson, 2011)
Human Computation vs. Social Media
“…social computing facilitates relatively
natural human behavior that happens to be
mediated by technology, whereas participation
in a human computation is directed primarily
by the human computation system.”
(ibid)
Quinn, A.J. & Bederson, B.B. (2011). Human Computation: A Survey and Taxonomy of a Growing Field, Proc. of CHI 2011
Approach
The need to interrelate social media research and human
computation is reflected in questions such as:
How can we design effective incentive systems for large-scale
participation?
How do we design tasks at different levels of complexity that can
still be solved reliably by individual contributions?
How can we use social media techniques for new models of
coordination (e.g. social network analysis for task-routing)?
How can lessons from distributed problem-solving in social
networks and collaborative systems lead to novel classes of
human computation tasks and applications?
Program
Acknowledgements
Organizers
Jasminko Novak, Univ. of Applied
Sciences Stralsund / European
Institute for Participatory Media
Martha Larson, Delft University of
Technology, Multimedia Information
Retrieval Lab
Piero Fraternali, Politecnico di
Milano, Dipartimento di Elettronica
ed Informazione
Petros Daras, CERTH, Institute of
Informatics and Telematics
Otto Chrons, Microtask Oy
Prog. Commitee
Apostolos Axenopoulos, CERTH
Klemens Boehm, Karlsruhe Institute of
Technology
Marco Brambilla, Politecnico di Milano
Fausto Giunchiglia, University of Trento
Ido Guy, IBM Research
Gareth Jones, Dublin City University
Gabriella Kazai, Microsoft Research
Ville Miettinen, Microtask
Wolfgang Prinz, Fraunhofer FIT/RWTH Aachen
Alexander J. Quinn, Univ. of Maryland Coll. Park
Naeem Ramzan, Queen Mary University London
Marcello Sarini, University of Milano-Bicocca
Mohammad Soleymani, Geneva University
Maja Vukovic, IBM T.J. Watson Research
Panel Discussion
Panel Members (The SoHuman 2012 Speakers)
Jiyin He, Centrum Wiskunde & Informatica (CWI), Netherlands
Irene Celino, Politecnico di Milano, Italy
Chris Harris, University of Iowa, USA
Luca Galli, Politecnico di Milano, Italy
Theme
Human Computation
Human users as task-solvers within
computational systems
Solving complex tasks that are easy for
humans but difficult for purely
computational approaches
Requires large numbers of participants
financial rewards, fun…
Social Media
Support online social interaction,
information exchange, coordination and
collective action
Can provide enabling methods and
technologies for human computation
What is Social Media?
Theme
Human Computation vs. Crowdsourcing
“Whereas human computation replaces
computers with humans, crowdsourcing
replaces traditional human workers with
members of the public.”
(Quinn & Bederson, 2011)
Human Computation vs. Social Media
“…social computing facilitates relatively
natural human behavior that happens to be
mediated by technology, whereas participation
in a human computation is directed primarily
by the human computation system.”
(ibid)
Quinn, A.J. & Bederson, B.B. (2011). Human Computation: A Survey and Taxonomy of a Growing Field, Proc. of CHI 2011
Do we really need
social media for
crowdsourcing?
Panel Discussion
Questions
• Do we really need social media for crowdsourcing?
• Do we understand all dimensions: Motivation,
Quality control, Aggregation, Human Skill (expert,
not expert), Process order (how to hybidize?)
• How do we enrich the technology-driven
perspective with a user-centered view?
• How do we move beyond the “mechanical” aspect
of crowdsourcing to make use of a full range of
human perspectives and abilities?
• How do we "invent" new applications for
crowdsourcing?
• What are the major risks moving forward?
Acknowledgements
Organizers
Jasminko Novak, Univ. of Applied
Sciences Stralsund / European
Institute for Participatory Media
Martha Larson, Delft University of
Technology, Multimedia Information
Retrieval Lab
Piero Fraternali, Politecnico di
Milano, Dipartimento di Elettronica
ed Informazione
Petros Daras, CERTH, Institute of
Informatics and Telematics
Otto Chrons, Microtask Oy
Prog. Commitee
Apostolos Axenopoulos, CERTH
Klemens Boehm, Karlsruhe Institute of
Technology
Marco Brambilla, Politecnico di Milano
Fausto Giunchiglia, University of Trento
Ido Guy, IBM Research
Gareth Jones, Dublin City University
Gabriella Kazai, Microsoft Research
Ville Miettinen, Microtask
Wolfgang Prinz, Fraunhofer FIT/RWTH Aachen
Alexander J. Quinn, Univ. of Maryland Coll. Park
Naeem Ramzan, Queen Mary University London
Marcello Sarini, University of Milano-Bicocca
Mohammad Soleymani, Geneva University
Maja Vukovic, IBM T.J. Watson Research
