Collective Intelligence Heuristic: An Experimental Evidence

The main intreest of this study was to investigate the phenomenon of collective intelligence in an anonymous virtual environment developed for this purpose. In particular, we were interested in studiyng how dividing a fixed community in different group size, which, in different phases of the experiment, works to solve tasks of different complexity, influences the social problem solving process. The experiments, which have involved 216 university students, showed that the cooperative behaviour is stronger in small groups facing complex tasks: the cooperation probability negatively correlated with both the group size and easiness of task. Individuals seem to activate a collective intelligence heuristics when the problem is too complex. Some psychosocial variables were considered in order to check how they affect the cooperative behaviour of participants, but they do not seem to have a significant impact on individual cooperation probability, supporting the idea that a partial de-individualization operates in virtual environments.

[1]  Duncan J. Watts,et al.  Cooperation and Contagion in Web-Based, Networked Public Goods Experiments , 2010, SECO.

[2]  John B. Smith,et al.  Collective Intelligence in Computer-Based Collaboration , 1994 .

[3]  Vivek Singh,et al.  Collective Intelligence: Concepts, Analytics and Implications , 2011 .

[4]  Daren C. Brabham Crowdsourcing as a Model for Problem Solving , 2008 .

[5]  Valérie Chanal,et al.  The Difficulties involved in Developing Business Models open to Innovation Communities: the Case of a Crowdsourcing Platform , 2010 .

[6]  Russell Spears,et al.  Computer-Mediated Communication, De-Individuation and Group Decision-Making , 1991, Int. J. Man Mach. Stud..

[7]  C. Spielberger,et al.  Manual for the State-Trait Anxiety Inventory , 1970 .

[8]  Michael Vitale,et al.  The Wisdom of Crowds , 2015, Cell.

[9]  Henry Hamburger,et al.  Group Size and Cooperation , 1975 .

[10]  Haoxiang Xia,et al.  Toward collective intelligence of online communities: A primitive conceptual model , 2009 .

[11]  Guillaume Dumas,et al.  Towards a two-body neuroscience , 2011, Communicative & integrative biology.

[12]  C. Spielberger Manual for the State-Trait Anxiety Inventory (STAI) (Form Y , 1983 .

[13]  David G. Rand,et al.  The promise of Mechanical Turk: how online labor markets can help theorists run behavioral experiments. , 2012, Journal of theoretical biology.

[14]  Russell Spears,et al.  COMPUTER-MEDIATED COMMUNICATION, DEINDIVIDUATION AND GROUP DECISION-MAKING , 1991 .

[15]  M. Carrete,et al.  Humans and Scavengers: The Evolution of Interactions and Ecosystem Services , 2014 .

[16]  Marco Giannini,et al.  Uno strumento per il counseling: il Five Factor Adjective Short Test (5-FasT). , 2012 .

[17]  Muhammad Ali Babar,et al.  Collaborative Software Development Platforms for Crowdsourcing , 2014, IEEE Software.

[18]  T. Postmes,et al.  A Social Identity Model of Deindividuation Phenomena , 1995 .

[19]  A. Pentland,et al.  Collective intelligence , 2006, IEEE Comput. Intell. Mag..

[20]  Qinghua Zhu,et al.  Evaluation on crowdsourcing research: Current status and future direction , 2012, Information Systems Frontiers.

[21]  Mark P. Silverman,et al.  The Wisdom of Crowds. .The Wisdom of CrowdsJamesSurowiecki . 306 pp. Random House, New York, 2004. $24.95 (cloth) ISBN 0-385-50386-5; $14.00 (paper) ISBN 0-385-72170-6. , 2007 .

[22]  David G. Rand,et al.  The online laboratory: conducting experiments in a real labor market , 2010, ArXiv.

[23]  P. Pye-Smith The Descent of Man, and Selection in Relation to Sex , 1871, Nature.

[24]  M. Ashton,et al.  Psychometric Properties of the HEXACO Personality Inventory , 2004, Multivariate behavioral research.

[25]  Zoran Levnajic,et al.  Modeling crowdsourcing as collective problem solving , 2015, Scientific Reports.

[26]  Vannevar Bush,et al.  As we may think , 1945, INTR.

[27]  David R. Cheriton,et al.  Amaze: A Multiplayer Computer Game , 1985, IEEE Software.

[28]  Edmund A. Mennis The Wisdom of Crowds: Why the Many Are Smarter than the Few and How Collective Wisdom Shapes Business, Economies, Societies, and Nations , 2006 .

[29]  T. Postmes,et al.  Breaching or Building Social Boundaries? , 1998 .

[30]  Manfred Milinski,et al.  The Calculus of Selfishness , 2011 .

[31]  John Field,et al.  Social Capital: Critical Perspectives , 2000 .

[32]  E. von Hippel,et al.  Sources of Innovation , 2016 .

[33]  Jane Van Lawick-Goodall,et al.  The Behaviour of Free-living Chimpanzees in the Gombe Stream Reserve , 1968 .

[34]  Didier Sornette,et al.  How Much Is the Whole Really More than the Sum of Its Parts? 1 ⊞ 1 = 2.5: Superlinear Productivity in Collective Group Actions , 2014, PloS one.

[35]  Ralf Schwarzer,et al.  General Self-Efficacy Scale , 2012 .

[36]  David H. Wolpert,et al.  Collective Intelligence , 1999 .

[37]  Abraham Bernstein,et al.  CrowdLang - First Steps Towards Programmable Human Computers for General Computation , 2011, Human Computation.

[38]  Fernando González-Ladrón-de-Guevara,et al.  Towards an integrated crowdsourcing definition , 2012, J. Inf. Sci..

[39]  J. Richard Hackman Collaborative Intelligence: Using Teams to Solve Hard Problems , 2011 .

[40]  R. Spears,et al.  Panacea or Panopticon? , 1994 .

[41]  Phuoc Tran-Gia,et al.  Modeling crowdsourcing platforms to enable workforce dimensioning , 2015, 2015 International Telecommunication Networks and Applications Conference (ITNAC).

[42]  Arthur M. Nezu,et al.  Problem-solving therapy : a social competence approach to clinical intervention , 1986 .

[43]  Claudio Barbaranelli,et al.  The MTSOCS: A multidimensional sense of community scale for local communities , 2009 .

[44]  M. Perc,et al.  Group-Size Effects on the Evolution of Cooperation in the Spatial Public Goods Game , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.