Artículo

Landfried, G.; Slezak, D.F.; Mocskos, E."Faithfulness-boost effect: Loyal teammate selection correlates with skill acquisition improvement in online games" (2019) PLoS ONE. 14(3)
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Abstract:

The problem of skill acquisition is ubiquitous and fundamental to life. Most tasks in modern society involve the cooperation with other subjects. Notwithstanding its fundamental importance, teammate selection is commonly overlooked when studying learning. We exploit the virtually infinite repository of human behavior available in Internet to study a relevant topic in anthropological science: how grouping strategies may affect learning. We analyze the impact of team play strategies in skill acquisition using a turn-based game where players can participate individually or in teams. We unveil a subtle but strong effect in skill acquisition based on the way teams are formed and maintained during time. “Faithfulness-boost effect” provides a skill boost during the first games that would only be acquired after thousands of games. The tendency to play games in teams is associated with a long-run skill improvement while playing loyally with the same teammate significantly accelerates short-run skill acquisition. © 2019 Landfried et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Registro:

Documento: Artículo
Título:Faithfulness-boost effect: Loyal teammate selection correlates with skill acquisition improvement in online games
Autor:Landfried, G.; Slezak, D.F.; Mocskos, E.
Filiación:Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Computación, Buenos Aires, Argentina
CONICET, Universidad de Buenos Aires, Instituto de Investigación en Ciencias de la Computación (ICC), Buenos Aires, Argentina
CONICET, Centro de Simulación Computacional p/Aplic Tecnológicas (CSC), Buenos Aires, Argentina
Palabras clave:article; human; human experiment; Internet; learning; skill
Año:2019
Volumen:14
Número:3
DOI: http://dx.doi.org/10.1371/journal.pone.0211014
Handle:http://hdl.handle.net/20.500.12110/paper_19326203_v14_n3_p_Landfried
Título revista:PLoS ONE
Título revista abreviado:PLoS ONE
ISSN:19326203
CODEN:POLNC
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19326203_v14_n3_p_Landfried

Referencias:

  • Boyd, R., Richerson, P.J., Henrich, J., The cultural niche: Why social learning is essential for human adaptation (2011) Proceedings of The National Academy of Sciences, 108, pp. 10918-10925. , https://doi.org/10.1073/pnas.1100290108
  • De Groot, A., (1978) Thought and Choice in Chess. 2nd Ed., , Psychological Studies. Mouton De Gruyter
  • Chase, W.G., Simon, H.A., Perception in chess (1973) Cognitive Psychology, 4 (1), pp. 55-81. , https://doi.org/10.1016/0010-0285(73)90004-2
  • Simon, H.A., How big is a chunk? (1974) Science, 183 (4124), pp. 482-488. , https://doi.org/10.1126/science.183.4124.482, PMID: 17773029
  • Tversky, A., Kahneman, D., Judgment under uncertainty: Heuristics and biases (1975) Utility, Probability, and Human Decision Making, pp. 141-162. , Springer
  • Kahneman, D., Tversky, A., Prospect theory: An analysis of decision under risk (1979) Econometrica: Journal of The Econometric Society, pp. 263-291. , https://doi.org/10.2307/1914185
  • Newell, A., Rosenbloom, P.S., Anderson, J.R., Mechanisms of skill acquisition and the law of practice (1981) Cognitive Skills and Their Acquisition, pp. 1-55. , Psychology Press
  • Heathcote, A., Brown, S., Mewhort, D.J., The power law repealed: The case for an exponential law of practice (2000) Psychonomic Bulletin & Review, 7 (2), pp. 185-207. , https://doi.org/10.3758/BF03212979
  • Howard, R.W., Learning curves in highly skilled chess players: A test of the generality of the power law of practice (2014) Acta Psychologica, 151, pp. 16-23. , https://doi.org/10.1016/j.actpsy.2014.05.013, PMID: 24915472
  • Gaschler, R., Progscha, J., Smallbone, K., Ram, N., Bilalić, M., Playing off the curve-testing quantitative predictions of skill acquisition theories in development of chess performance (2014) Frontiers in Psychology, 5. , https://doi.org/10.3389/fpsyg.2014.00923
  • Hoppitt, W., Laland, K.N., (2013) Social Learning: An Introduction to Mechanisms, Methods, and Models, , Princeton University Press
  • Bandura, A., (1977) Social Learning Theory, , Prentice-Hall
  • Richerson, P.J., Boyd, R., Henrich, J., Gene-culture coevolution in the age of genomics (2010) Proceedings of The National Academy of Sciences, 107, pp. 8985-8992. , https://doi.org/10.1073/pnas.0914631107
  • Boyd, R., Richerson, P.J., (1985) Culture and The Evolutionary Process, , University of Chicago press
  • Feldman, M.W., Aoki, K., Kumm, J., Individual versus social learning: Evolutionary analysis in a fluctuating environment (1996) Anthropological Science, 104 (3), pp. 209-231. , https://doi.org/10.1537/ase.104.209
  • Giraldeau, L.A., Valone, T.J., Templeton, J.J., Potential disadvantages of using socially acquired information (2002) Philosophical Transactions of The Royal Society of London B: Biological Sciences, 357 (1427), pp. 1559-1566. , https://doi.org/10.1098/rstb.2002.1065, PMID: 12495513
  • Henrich, J., McElreath, R., The evolution of cultural evolution (2003) Evolutionary Anthropology: Issues, News, and Reviews, 12 (3), pp. 123-135. , https://doi.org/10.1002/evan.10110
  • Rendell, L., Fogarty, L., Hoppitt, W.J., Morgan, T.J., Webster, M.M., Laland, K.N., Cognitive culture: Theoretical and empirical insights into social learning strategies (2011) Trends in Cognitive Sciences, 15 (2), pp. 68-76. , https://doi.org/10.1016/j.tics.2010.12.002, PMID: 21215677
  • Rendell, L., Boyd, R., Cownden, D., Enquist, M., Eriksson, K., Feldman, M.W., Why copy others? Insights from the social learning strategies tournament (2010) Science, 328 (5975), pp. 208-213. , https://doi.org/10.1126/science.1184719, PMID: 20378813
  • Henrich, J., Broesch, J., On the nature of cultural transmission networks: Evidence from Fijian villages for adaptive learning biases (2011) Philosophical Transactions of The Royal Society of London B: Biological Sciences, 366 (1567), pp. 1139-1148. , https://doi.org/10.1098/rstb.2010.0323, PMID: 21357236
  • Baum, W.M., Richerson, P.J., Efferson, C.M., Paciotti, B.M., Cultural evolution in laboratory microsocieties including traditions of rule giving and rule following (2004) Evolution and Human Behavior, 25 (5), pp. 305-326. , https://doi.org/10.1016/j.evolhumbehav.2004.05.003
  • McElreath, R., Bell, A.V., Efferson, C., Lubell, M., Richerson, P.J., Waring, T., Beyond existence and aiming outside the laboratory: Estimating frequency-dependent and pay-off-biased social learning strategies (2008) Philosophical Transactions of The Royal Society of London B: Biological Sciences, 363 (1509), pp. 3515-3528. , https://doi.org/10.1098/rstb.2008.0131, PMID: 18799416
  • Efferson, C., Lalive, R., Richerson, P.J., McElreath, R., Lubell, M., Conformists and mavericks: The empirics of frequency-dependent cultural transmission (2008) Evolution and Human Behavior, 29 (1), pp. 56-64. , https://doi.org/10.1016/j.evolhumbehav.2007.08.003
  • Mesoudi, A., An experimental comparison of human social learning strategies: Payoff-biased social learning is adaptive but underused (2011) Evolution and Human Behavior, 32 (5), pp. 334-342. , https://doi.org/10.1016/j.evolhumbehav.2010.12.001
  • Molleman, L., Van den Berg, P., Weissing, F.J., Consistent individual differences in human social learning strategies (2014) Nature Communications, 5. , https://doi.org/10.1038/ncomms4570, PMID: 24705692
  • Toelch, U., Bruce, M.J., Newson, L., Richerson, P.J., Reader, S.M., Individual consistency and flexibility in human social information use (2014) Proceedings of The Royal Society of London B: Biological Sciences, 281 (1776), p. 20132864. , https://doi.org/10.1098/rspb.2013.2864
  • Caldwell, C.A., Cornish, H., Kandler, A., Identifying innovation in laboratory studies of cultural evolution: Rates of retention and measures of adaptation (2016) Philosophical Transactions of The Royal Society of London B: Biological Sciences, 371 (1690), p. 20150193. , https://doi.org/10.1098/rstb.2015.0193, PMID: 26926283
  • Muthukrishna, M., Morgan, T.J., Henrich, J., The when and who of social learning and conformist transmission (2016) Evolution and Human Behavior, 37 (1), pp. 10-20. , https://doi.org/10.1016/j.evolhumbehav.2015.05.004
  • Henrich, J., Boyd, R., Bowles, S., Camerer, C., Fehr, E., Gintis, H., In search of homo economicus: Behavioral experiments in 15 small-scale societies (2001) The American Economic Review, 91 (2), pp. 73-78. , https://doi.org/10.1257/aer.91.2.73
  • Efferson, C., Richerson, P.J., McElreath, R., Lubell, M., Edsten, E., Waring, T.M., Learning, productivity, and noise: An experimental study of cultural transmission on the Bolivian Altiplano (2007) Evolution and Human Behavior, 28 (1), pp. 11-17. , https://doi.org/10.1016/j.evolhumbehav.2006.05.005
  • Wisdom, T.N., Song, X., Goldstone, R.L., Social learning strategies in networked groups (2013) Cognitive Science, 37 (8), pp. 1383-1425. , https://doi.org/10.1111/cogs.12052, PMID: 23845020
  • Glowacki, L., Molleman, L., Subsistence styles shape human social learning strategies (2017) Nature Human Behavior, 1. , 0098
  • Mesoudi, A., Chang, L., Dall, S.R., Thornton, A., The evolution of individual and cultural variation in social learning (2016) Trends in Ecology & Evolution, 31 (3), pp. 215-225. , https://doi.org/10.1016/j.tree.2015.12.012
  • Slezak, D.F., Sigman, M., Do not fear your opponent: Suboptimal changes of a prevention strategy when facing stronger opponents (2012) Journal of Experimental Psychology: General, 141 (3), p. 527. , https://doi.org/10.1037/a0025761
  • Beheim, B.A., Thigpen, C., McElreath, R., Strategic social learning and the population dynamics of human behavior: The game of Go (2014) Evolution and Human Behavior, 35 (5), pp. 351-357. , https://doi.org/10.1016/j.evolhumbehav.2014.04.001
  • Johnson, N.F., Xu, C., Zhao, Z., Ducheneaut, N., Yee, N., Tita, G., Human group formation in online guilds and offline gangs driven by a common team dynamic (2009) Phys Rev E, 79, p. 066117. , https://doi.org/10.1103/PhysRevE.79.066117
  • Sigman, M., Etchemendy, P., Fernandez Slezak, D., Cecchi, G., Response time distributions in rapid chess: A large-scale decision making experiment (2010) Frontiers in Neuroscience, 4, p. 60. , https://doi.org/10.3389/fnins.2010.00060, PMID: 21031032
  • DeLong, C., (2013) Team Chemistry: The Missing Link in Skill Assessment for Teams, , http://hdl.handle.net/11299/161624
  • Roy, A., Borbora, Z.H., Srivastava, J., Socialization and trust formation: A mutual reinforcement? An exploratory analysis in an online virtual setting (2013) Advances in Social Networks Analysis and Mining (ASO-NAM), 2013 IEEE/ACM International Conference on, pp. 653-660
  • Borbora, Z.H., Srivastava, J., User behavior modelling approach for churn prediction in online games (2012) Privacy, Security, Risk and Trust (PASSAT), 2012 International Conference on and 2012 International Confernece on Social Computing (SocialCom), pp. 51-60
  • Shim, K.J., Srivastava, J., Team performance prediction in massively multiplayer online role-playing games (MMORPGs) (2010) Social Computing (SocialCom), 2010 IEEE Second International Conference on, pp. 128-136. , IEEE
  • Chabris, C.F., Glickman, M.E., Sex differences in intellectual performance analysis of a large cohort of competitive chess players (2006) Psychological Science, 17 (12), pp. 1040-1046. , https://doi.org/10.1111/j.14679280.2006.01828.x, PMID: 17201785
  • Roring, R.W., Charness, N., A multilevel model analysis of expertise in chess across the life span (2007) Psychology and Aging, 22 (2), p. 291. , https://doi.org/10.1037/0882-7974.22.2.291, PMID: 17563184
  • Stafford, T., Dewar, M., Tracing the trajectory of skill learning with a very large sample of online game players (2014) Psychological Science, 25 (2), pp. 511-518. , https://doi.org/10.1177/0956797613511466, PMID: 24379154
  • Vaci, N., Bilalić, M., Chess databases as a research vehicle in psychology: Modeling large data (2016) Behavior Research Methods, pp. 1-14
  • Glickman, M., A comprehensive guide to chess ratings (1995) American Chess Journal, 3, pp. 59-102
  • Glickman, M., Dynamic paired comparison models with stochastic variances (2001) Journal of Applied Statistics, 28 (6), pp. 673-689. , https://doi.org/10.1080/02664760120059219
  • Herbrich, R., Minka, R., Graepel, T., TrueSkill: A Bayesian skill rating system (2006) Advances in Neural Information Processing Systems, 19, pp. 569-576. , Scholkopf B, Platt J, Hoffman T, editors. Cambridge, MA: MIT Press
  • Kschischang, F.R., Frey, B.J., Loeliger, H.A., Factor graphs and the sum-product algorithm (2001) IEEE Transactions on Information Theory, 47 (2), pp. 498-519. , https://doi.org/10.1109/18.910572
  • Dunbar, R.I., Coevolution of neocortical size, group size and language in humans (1993) Behavioral and Brain Sciences, 16, pp. 681-694. , https://doi.org/10.1017/S0140525X00032325, 04
  • Boyd, R., Richerson, P.J., Social learning as an adaptation (1989) Lectures on Mathematics in The Life Sciences, 20, pp. 1-26
  • Graepel, T.K.H., Herbrich, R., (2006) Bayesian Scoring, , http://www.google.com/patents/US7050868
  • Minka, T., Graepel, T.K., Herbrich, R., (2009) Determining Relative Skills of Players, , http://www.google.com/patents/US20090227313

Citas:

---------- APA ----------
Landfried, G., Slezak, D.F. & Mocskos, E. (2019) . Faithfulness-boost effect: Loyal teammate selection correlates with skill acquisition improvement in online games. PLoS ONE, 14(3).
http://dx.doi.org/10.1371/journal.pone.0211014
---------- CHICAGO ----------
Landfried, G., Slezak, D.F., Mocskos, E. "Faithfulness-boost effect: Loyal teammate selection correlates with skill acquisition improvement in online games" . PLoS ONE 14, no. 3 (2019).
http://dx.doi.org/10.1371/journal.pone.0211014
---------- MLA ----------
Landfried, G., Slezak, D.F., Mocskos, E. "Faithfulness-boost effect: Loyal teammate selection correlates with skill acquisition improvement in online games" . PLoS ONE, vol. 14, no. 3, 2019.
http://dx.doi.org/10.1371/journal.pone.0211014
---------- VANCOUVER ----------
Landfried, G., Slezak, D.F., Mocskos, E. Faithfulness-boost effect: Loyal teammate selection correlates with skill acquisition improvement in online games. PLoS ONE. 2019;14(3).
http://dx.doi.org/10.1371/journal.pone.0211014