Introduction to Sohuman2012

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challenges and opportunities of applying social media to designing human computation systems and applications

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Introduction to Sohuman2012

  1. 1. Welcome, introduction and discussionJasminko NovakUniv. of Applied Sciences Stralsund /European Institute for Participatory Media, BerlinMartha LarsonTU Delft, Multimedia Information Retrieval Labhttp://www.eipcm.org/sohuman2012j.novak@eipcm.orgSoHuman2012 @IEEE Social Computing,Amsterdam, Sept 3, 2012
  2. 2. Goals of the workshopExplore 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
  3. 3. ThemeHuman 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
  4. 4. ThemeHuman 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 Quinn, A.J. & Bederson, B.B. (2011). Human Computation: A Survey and by the human computation system.” Taxonomy of a Growing Field, Proc. of (ibid) CHI 2011
  5. 5. ApproachThe 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?
  6. 6. Program
  7. 7. AcknowledgementsOrganizers Prog. Commitee Jasminko Novak, Univ. of Applied  Apostolos Axenopoulos, CERTH Sciences Stralsund / European  Klemens Boehm, Karlsruhe Institute of Institute for Participatory Media Technology  Marco Brambilla, Politecnico di Milano Martha Larson, Delft University of  Fausto Giunchiglia, University of Trento Technology, Multimedia Information Retrieval Lab  Ido Guy, IBM Research  Gareth Jones, Dublin City University Piero Fraternali, Politecnico di  Gabriella Kazai, Microsoft Research Milano, Dipartimento di Elettronica  Ville Miettinen, Microtask ed Informazione  Wolfgang Prinz, Fraunhofer FIT/RWTH Aachen Petros Daras, CERTH, Institute of  Alexander J. Quinn, Univ. of Maryland Coll. Park Informatics and Telematics  Naeem Ramzan, Queen Mary University London Otto Chrons, Microtask Oy  Marcello Sarini, University of Milano-Bicocca  Mohammad Soleymani, Geneva University  Maja Vukovic, IBM T.J. Watson Research
  8. 8. Panel DiscussionPanel Members (The SoHuman 2012 Speakers)Jiyin He, Centrum Wiskunde & Informatica (CWI), NetherlandsIrene Celino, Politecnico di Milano, ItalyChris Harris, University of Iowa, USALuca Galli, Politecnico di Milano, Italy
  9. 9. ThemeHuman 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
  10. 10. What is Social Media?
  11. 11. ThemeHuman 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 Quinn, A.J. & Bederson, B.B. (2011). Human Computation: A Survey and by the human computation system.” Taxonomy of a Growing Field, Proc. of (ibid) CHI 2011
  12. 12. Panel Discussion Do we really need social media for crowdsourcing?
  13. 13. 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?
  14. 14. AcknowledgementsOrganizers Prog. Commitee Jasminko Novak, Univ. of Applied  Apostolos Axenopoulos, CERTH Sciences Stralsund / European  Klemens Boehm, Karlsruhe Institute of Institute for Participatory Media Technology  Marco Brambilla, Politecnico di Milano Martha Larson, Delft University of  Fausto Giunchiglia, University of Trento Technology, Multimedia Information Retrieval Lab  Ido Guy, IBM Research  Gareth Jones, Dublin City University Piero Fraternali, Politecnico di  Gabriella Kazai, Microsoft Research Milano, Dipartimento di Elettronica  Ville Miettinen, Microtask ed Informazione  Wolfgang Prinz, Fraunhofer FIT/RWTH Aachen Petros Daras, CERTH, Institute of  Alexander J. Quinn, Univ. of Maryland Coll. Park Informatics and Telematics  Naeem Ramzan, Queen Mary University London Otto Chrons, Microtask Oy  Marcello Sarini, University of Milano-Bicocca  Mohammad Soleymani, Geneva University  Maja Vukovic, IBM T.J. Watson Research

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