Abstract
The current research focused on training to enhance exploration in Theory of Mind (ToM), using a training program based on the game SET®. (© 1988, 1991 Cannei, LLC. All rights reserved. SET® and all associated logos and taglines are registered trademarks of Cannei, LLC. Used with permission from Set Enterprises, Inc.) Two experimental groups were tasked with predicting the selections of a virtual player given a set of unknown rules governing the assignment of values to SETs, where one aspect of the rules (the fact that some values were negative) was designed to be particularly unintuitive. In the Simple Rule group, there were only four sets of values and their assignment followed a pattern, whereas in the Complex Rule group, there were many sets of values and their assignment was arbitrary, requiring greater exploration to determine them. The Simple Rule group was better at predicting more-intuitive selections of the virtual player, while the Complex Rule group was both better and faster at predicting less-intuitive selections. Hence, exposing trainees to complex rules governing others’ decisions might be used to change people’s tendency toward under-exploration in ToM.
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References
Ashcroft, A., Jervis, N., & Roberts, C. (1999). A theory of mind (TOM) and people with learning disabilities: the effects of a training package. Journal of Applied Research in Intellectual Disabilities, 12, 58–68.
Astington, J. W., & Gopnik, A. (1991). Theoretical explanations of children’s understanding of the mind. British Journal of Developmental Psychology, 9, 7–31.
Bazerman, M., & Neal, M. (1992). Negotiating rationally. New York: Free Press.
Benson, G., Abbeduto, L., Short, K., Bibler Nuccio, J., & Mass, F. (1993). Development of a Theory of Mind in individuals with mental retardation. American Journal of Mental Retardation, 98, 427–433.
Brooks, L. (1978). Nonanalytic concept formation and memory for instances. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization. Hillsdale, NJ: Erlbaum.
Gao, X., & Wilson, H. R. (2014). Implicit learning of geometric eigenfaces. Vision Research, 99, 12–18.
Gopher, D. (2007). Emphasis change as a training protocol for high-demands tasks. In A. Kramer, D. Wiegman, & A. Kirlik (Eds.), Applied attention: from theory to practice. Oxford University Press: New York, USA.
Gopher, D., Weil, M., & Siegel, D. (1989). Practice under changing priorities: an approach to training of complex skills. Acta Psychologica, 71, 147–179.
Gordon, P. C., & Holyoak, K. J. (1983). Implicit learning and generalization of the “mere exposure” effect. Journal of Personality and Social Psychology, 45, 492–500.
Hale, C. M., & Tager-Flusberg, H. (2003). The influence of language on theory of mind: a training study. Developmental Science, 6, 346–359.
Harbers, M., Van den Bosch, K., & Meyer, J. (2009). Enhancing training by using agents with a theory of mind. Proceedings of EduMas, 23–30.
Hodges, F. B. (1993). Training for uncertainty. Fort Leavenworth, KS: School of Advanced Military Studies.
Hoogendoorn, M., & Merk, R. J. (2012). Action selection using theory of mind: a case study in the domain of fighter pilot training. In Proceedings of the Twenty-Fifth International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, IEA-AIE 2012, Lecture Notes in Computer Science , 7345. Springer Verlag (pp. 521–533).
Jacob, M., & Hochstein, S. (2008). SET recognition as a window to perceptual and cognitive processes. Perception & Psychophysics, 70(7), 1165–1184.
Jacques, S., & Zelazo, P. D. (2005). Language and the development of cognitive flexibility: implications for theory of mind. In J. W. Astington & J. A. Baird (Eds.), Why language matters for theory of mind (pp. 144–162). New York: Oxford University Press.
Keysar, B., Barr, D. J., Balin, J. A., & Brauner, J. S. (2000). Taking perspective in conversation: the role of mutual knowledge in comprehension. Psychological Science, 11, 32–38.
Light Jr., D. (1979). Uncertainty and control in professional training. Journal of Health and Social Behavior, 20, 310–322.
McAndrews, M. P., & Moscovitch, M. (1985). Rule-based and exemplar-based classification in artificial grammar learning. Memory and Cognition, 13, 469–475.
McDougle, S. D., Bond, K. M., & Taylor, J. A. (2015). Explicit and implicit processes constitute the fast and slow processes of sensorimotor learning. The Journal of Neuroscience, 35(26), 9568–9579.
Melot, A. M., & Angeard, N. (2003). Theory of mind: is training contagious? Developmental Science, 6, 178–184.
Nyamsuren, E., & Taatgen, N. A. (2013a). SET as an instance of a real-world visual-cognitive task. Cognitive Science, 37(1), 146–175.
Nyamsuren, E., & Taatgen, N. A. (2013b). The effect of visual representation style in problem-solving: a perspective from cognitive processes. PLoS One, 8(11), e80550.
Nyamsuren, E., & Taatgen, N. A. (2013c). The synergy of top-down and bottom-up attention in complex task: going beyond saliency models. In Proceedings of the 35th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society (pp. 3181–3186).
Ozonoff, S., & Miller, J. N. (1995). Teaching theory of mind: a new approach to social skills training for individuals with autism. Journal of Autism and Developmental Disorders, 25, 415–433.
Perner, J. (1991). Understanding the representational mind. Cambridge, MA: MIT Press.
Perner, J. (1999). Theory of mind. In M. Bennett (Ed.), Developmental psychology (pp. 205–230). London: Taylor and Francis.
Prior, M., Dahlstrom, B., & Squires, T. (1990). Autistic children’s knowledge of thinking and feeling states in other people. Journal of Child Psychology and Psychiatry, 31, 587–601.
Prosser, B. D. (1996). The need for training for uncertainty. Fort Leavenworth, KS: U.S. Army Command and General Staff College, School of Advanced Military Studies.
Reber, A. S. (1967). Implicit learning of artificial grammars. Journal of Verbal Learning and Verbal Behavior, 6(6), 855–863.
Reber, A. S. (1976). Implicit learning of synthetic languages: the role of instructional set. Journal of Experimental Psychology: Human Learning and Memory, 2, 88–94.
Reber, A. S. (1989). Implicit learning and tacit knowledge. Journal of Experimental Psychology: General, 118(3), 219–235.
Reber, A. S., Allen, A., & Regan, S. (1985). Synthetic learning and judgment, still unconscious and still abstract: comment on Dulany, Carlson, and Dewey. Journal of Experimental Psychology: General, 114, 17–24.
Reber, A. S., & Millward, R. B. (1965). Probability learning and memory for event sequences. Psychonomic Science, 3, 431–432.
Reed, T., & Peterson, C. (1990). A comparative study of autistic participants’ performance at two levels of visual and cognitive perspective taking. Journal of Autism and Developmental Disorders, 20, 555–568.
Seagull, F. J., & Gopher, D. (1997). Training head movement in visual scanning: an embedded approach to the development of piloting skills with helmet-mounted displays. Journal of Experimental Psychology: Applied, 3, 163–180.
Slaughter, V., & Gopnik, A. (1996). Conceptual coherence in the child’s theory of mind: training children to understand belief. Child Development, 67, 2967–2988.
Sodian, B., & Frith, U. (1992). Deception and sabotage in autistic, retarded and normal children. Journal of Child Psychology and Psychiatry, 33, 591–605.
Sodian, B., & Kristen, S. (2010). Theory of mind. In B. M. Glatzeder, V. Goel, & A. v. Müller (Eds.), Towards a theory of thinking (pp. 189–201). Berlin: Springer-Verlag.
Taatgen, N. A., van Oploo, M., Braaksma, J., & Niemantsverdriet, J. (2003). How to construct a believable opponent using cognitive modeling in the game of SET. In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 201-206).
Thompson, L. (1991). Information exchange in negotiation. Journal of Experimental Social Psychology, 27, 161–179.
Vandenbossche, J., Coomans, D., Homblé, K., & Deroost, N. (2014). The effect of cognitive aging on implicit sequence learning and dual tasking. Frontiers in Psychology, 5(154), 1–7.
Wellman, H. (1990). The child’s theory of mind. Cambridge, MA: MIT Press.
Wellman, H., & Lagattuta, K. H. (2000). Developing understandings of mind. In S. Baron-Cohen, H. Tager-Flusberg, & D. J. Cohen (Eds.), Understanding other minds: perspectives from developmental cognitive neuroscience (Second ed., pp. 21–49). Oxford: Oxford University Press.
Wimmer, H., & Perner, J. (1983). Beliefs about beliefs: representation and constraining function of wrong beliefs in young children’s understanding of deception. Cognition, 13, 103–128.
Yechiam, E., Erev, I., & Gopher, D. (2001). On value and limitation of emphasis change and other exploration enhancing training methods. Journal of Experimental Psychology: Applied, 7, 277–285.
Yechiam, E., Erev, I., Yehene, V., & Gopher, D. (2004). Melioration and the transition from touch typing training to everyday use. Human Factors, 45, 671–684.
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This research was supported in part by the ORT Braude College, Israel.
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Yuviler-Gavish, N., Faran, D. & Berman, M. The Effect of Complexity on Training for Exploration of Non-intuitive Rules in Theory of Mind. J Cogn Enhanc 4, 323–332 (2020). https://doi.org/10.1007/s41465-019-00158-z
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DOI: https://doi.org/10.1007/s41465-019-00158-z