Abstract
Cooperation has its costs but also its benefits. In a Multiple Object Tracking Task with three different levels of difficulty (4, 5, and 6 targets to track, respectively), participants underwent two conditions: solo performance vs performance of the same individual in a dyad. The study's objective was to explore whether the difference in performance between these two conditions is related to cooperation. Ten university students answered a self-report personality questionnaire (Big Five) and performed the visual tracking task. The dyads were recorded on video to identify communication strategies, problem-solving strategies, and target selection agreements. Dyads showed higher scores and slower reaction times compared to solo performance. Slower reaction times were positively associated with verbal exchanges and division of labor strategies. Agreeableness and extraversion, as measured by the self-report questionnaire, were positively associated with agreement on target selection. Interaction between members of a dyad and their personality traits might be relevant for understanding successful cooperation and its costs.
References
Arrighi, R., Lunardi, R., & Burr, D. (2011). Vision and Audition do not Share Attentional Resources in Sustained Tasks. Frontiers in Psychology, 2, art. 56. https://doi.org/10.3389%2Ffpsyg.2011.00056
Bahrami, B., Olsen, K., Latham, P. E., Roepstorff, A., Rees, G., & Frith, C. D. (2010). Optimally Interacting Minds. Science, 329(5995), 1081-1085. https://doi.org/10.1126/science.1185718
Bahrami, B., Olsen, K., Bang, D., Roepstorff, A., Rees, G., & Frith, C. (2012). Together, Slowly but Surely: The Role of Social Interaction and Feedback on the Build-Up of Benefit in Collective Decision-Making. Journal of Experimental Psychology: Human Perception and Performance, 38(1), 3-8. https://psycnet.apa.org/fulltext/2011-23156-001.html
Brennan, S. E., Chen, X., Dickinson, C. A., Neider, M. B., & Zelinsky, G. J. (2008). 'Coordinating Cognition: The Costs and Benefits of Shared Gaze During Collaborative Search'. Cognition, 106(3), 1465-1477. https://doi.org/10.1016/j.cognition.2007.05.012
Brennan, A. A., & Enns, J. T. (2015a). When Two Heads are Better than One: Interactive Versus Independent Benefits of Collaborative Cognition. Psychonomic Bulletin & Review 22(4), 1076-1082. https://doi.org/10.3758/s13423-014-0765-4
Brennan, A. A., & Enns, J. T. (2015b). What's in a Friendship? Partner Visibility Supports Cognitive Collaboration between Friends. PloS One, 10(11), e0143469. https://doi.org/10.1371/journal.pone.0143469
Caprara, G. V., Barbaranelli, C., Borgogni, L., & Moreno, J. B. (2001). BFQ: Cuestionario" Big Five". Tea.
Cleveland, A., Schug, M., & Striano, T. (2007). Joint Attention and Object Learning in 5-and 7-Month-Old Infants. Infant and Child Development: An International Journal of Research and Practice, 16(3), 295-306. https://doi.org/10.1002/icd.508
Davis, M. H. (1980). A Multidimensional Approach to Individual Differences in Empathy. JSAS Catalog of Selected Documents in Psychology, 10, 85, 1-19. https://www.uv.es/~friasnav/Davis_1980.pdf
Drew, T., Horowitz, T. S., & Vogel, E. K. (2013). Swapping or Dropping? Electrophysiological Measures of Difficulty During Multiple Object Tracking. Cognition, 126(2), 213-223. https://doi.org/10.1016/j.cognition.2012.10.003
Dunfield, K.; Kuhlmeier, V. A.; O’Connell, L., & Kelley, E. (2011), 'Examining the diversity of prosocial behavior: Helping, sharing, and comforting in infancy', Infancy, 16(3), 227--247. https://doi.org/10.1111/j.1532-7078.2010.00041.x
Gondan, M., & Minakata, K. (2016). A Tutorial on Testing the Race Model Inequality. Attention, Perception, & Psychophysics, 78(3), 723-735. https://doi.org/10.3758/s13414-015-1018-y
Harris, D., Wilson, R., Smith, S., Meder, N., & Vine, S. (2020). Testing the Effects of 3D Multiple Object Tracking Training On Near, Mid and Far Transfer. Frontiers in Psychology, 11, art. 196. https://doi.org/10.3389/fpsyg.2020.00196
Heyman, R. E., Lorber, M. F., Eddy, J. M., & West, T. V. (2014). Behavioral Observation and Coding. Cambridge University Press.
de Jaegher, H., Di Paolo, E., & Gallagher, S. (2010). Can Social Interaction Constitute Social Cognition? Trends in Cognitive Sciences, 14(10), 441-447. https://doi.org/10.1016/j.tics.2010.06.009
Koriat, A. (2012). When are Two Heads Better than One and Why? Science, 336(6079), 360-362. https://doi.org/10.1126/science.1216549
Laughlin, P. R., Bonner, B. L., & Miner, A. G. (2002). Groups Perform Better than the Best Individuals on Letters-to-Numbers Problems. Organizational Behavior and Human Decision Processes, 88(2), 605-620. https://doi.org/10.1016/S0749-5978(02)00003-1
Laughlin, P. R., Hatch, E. C., Silver, J. S., & Boh, L. (2006). Groups Perform Better than the Best Individuals on Letters-to-Numbers Problems: Effects of Group Size. Journal of Personality and Social Psychology, 90(4), 644-651. https://doi.org/10.1037/0022-3514.90.4.644
Laughlin, P. R., Carey, H. R., & Kerr, N. L. (2008). Group-to-Individual Problem-Solving Transfer. Group Processes & Intergroup Relations, 11(3), 319--330. https://doi.org/10.1177/1368430208090645
Meudell, P. R., Hitch, G. J., & Boyle, M. M. (1995). Collaboration in Recall: Do Pairs of People Cross-Cue Each Other to Produce New Memories? The Quarterly Journal of Experimental Psychology, 48(1), 141-152. https://doi.org/10.1080/14640749508401381
Meyerhoff, H., Papenmeier, F., & Huff, M. (2017). Studying Visual Attention Using the Multiple Object Tracking Paradigm: A Tutorial Review. Attention, Perception, & Psychophysics, 79(5), 1255-1274. https://doi.org/10.3758/s13414-017-1338-1
Neider, M. B., Chen, X., Dickinson, C. A., Brennan, S. E., & Zelinsky, G. J. (2010). Coordinating Spatial Referencing Using Shared Gaze. Psychonomic Bulletin & Review, 17(5), 718-724. https://doi.org/10.3758/PBR.17.5.718
Pylyshyn, Z. W., & Storm, R. W. (1988). Tracking Multiple Independent Targets: Evidence for a Parallel Tracking Mechanism. Spatial Vision, 3(3), 179-197. https://doi.org/10.1163/156856888x00122
R Core Team. (2014). R: A language and environment for statistical computing. R Foundation for Statistical Computing.
Sharabany, R. (1994). Intimate Friendship Scale: Conceptual Underpinnings, Psychometric Properties and Construct Validity. Journal of Social and Personal Relationships, 11(3), 449-469. https://doi.org/10.1177%2F0265407594113010
Sebanz, N., Bekkering, H., & Knoblich, G. (2006). Joint Action: Bodies and Minds Moving Together. Trends in Cognitive Sciences, 10(2), 70-76. https://doi.org/10.1016/j.tics.2005.12.009
Szymanski, C., Pesquita, A., Brennan, A. A., Perdikis, D., Enns, J. T., Brick, T. R., Müller, V., & Lindenberger. U. (2017). Teams on the Same Wavelength Perform Better: Inter-Brain Phase Synchronization Constitutes a Neural Substrate for Social Facilitation. NeuroImage, 152, 425–436. https://doi.org/10.1016/j.neuroimage.2017.03.013
Van-Rossum, G., & Drake, F. L. (2009). Python 2.6 Reference Manual. Phyton.
Van-Zandt, T. (2002). Analysis of Response Time Distributions. In H. Pashler y J. Wixted (Eds.), Stevens’ Handbook of Experimental Psychology, 4, 461-516. John Wiley & Sons Inc. https://doi.org/10.1002/0471214426.pas0412
Wahn, B., Kingstone, A., & König, P. (2017). Two Trackers Are Better Than One: Information About the Co-Actor’s Actions and Performance Scores Contribute to the Collective Benefit in a Joint Visuospatial Task. Frontiers in Psychology, 8, art. 669. https://doi.org/10.3389/fpsyg.2017.00669
Wahn, B., & König, P. (2017). Can Limitations of Visuospatial Attention Be Circumvented? A Review. Frontiers in Psychology, 8, art. 1896. https://doi.org/10.3389%2Ffpsyg.2017.01896
Wahn, B., Czeszumski, A., & König, P. (2018). Performance Similarities Predict Collective Benefits in Dyadic and Triadic Joint Visual Search. PloS One, 13(1), artículo e0191179. https://doi.org/10.1371/journal.pone.0191179
Wahn, B., Karlinsky, A., Schmitz, L., & König, P. (2018). Let's Move It Together: A Review of Group Benefits in Joint Object Control. Frontiers in Psychology, 9, art. 918. https://doi.org/10.3389/fpsyg.2018.00918
Wahn, B., Kingstone, A., & König, P. (2018). Group Benefits in Joint Perceptual Tasks—A Review. Annals of the New York Academy of Sciences, 1426(1), 166-178. https://doi.org/10.1111/nyas.13843
Wahn, B., Czeszumski, A., Labusch, M., Kingstone, A., & König, P. (2020). Dyadic and Triadic Search: Benefits, Costs, and Predictors of Group Performance. Attention, Perception, & Psychophysics, 82, 2415–2433. https://doi.org/10.3758/s13414-019-01915-0
Wahn, B., König, P., & Kingston, A. (2020). Predicting Group Benefits in Joint Multiple Object Tracking. PsyArXiv Prepints. https://doi.org/10.31234/osf.io/fzwgs
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