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Pedagogical Machine: Studies Towards a Machine that Teaches Humans

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Human-Harmonized Information Technology, Volume 2
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Abstract

This project aimed to better understand the possibilities and limitations of an artificial pedagogical agent. For example, could an agent be programmed into a robot or a computer to teach? If so, how should such an agent be designed? To answer these questions, we used an approach that integrated developmental cognitive science, information technology, and field studies in educational setting. This chapter discusses the results of our research to date and the outlook for the future development of pedagogical machines.

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References

  1. G. Csibra, G. Gergely, Natural pedagogy. Trends Cognit. Sci. 13, 148–153 (2009)

    Article  Google Scholar 

  2. T.M. Caro, M.D. Hauser, Is there teaching in nonhumananimals? Quart. Rev. Biol. 67, 151–174 (1992)

    Article  Google Scholar 

  3. A. Thornton, K. McAuliffe, Teaching in wild meerkats. Science 313, 227–229 (2006)

    Article  Google Scholar 

  4. G. Csibra, Teachers in the wild. Trends Cogn. Sci. 11, 95–96 (2007)

    Article  Google Scholar 

  5. P.K. Kuhl, F. Tsao, H. Liu, Foreign-language experience in infancy: effects of short-term exposure and social interaction on phonetic learning. Proc. Natl. Acad. Sci. 100, 9096–9101 (2003). USA

    Article  Google Scholar 

  6. T. Grossmann, M.H. Johnson, The development of the social brain in human infancy. Eur. J. Neurosci. 25, 909–919 (2007). doi:10.1111/j.1460-9568.2007.05379.x

  7. M. Tomasello, M. Carpenter, J. Call, T. Behne, H. Moll, Understanding and sharing intentions: the origins of cultural cognition. Behav. Brain Sci. 28, 675–735 (2005). doi:10.1017/s0140525x05000129

  8. M. Morales, P. Mundy, C.E.F. Delgado, M. Yale, D. Messinger, R. Neal, H.K. Schwartz, Responding to joint attention across the 6-through 24-month age period and early language acquisition. J. Appl. Dev. Psychol. 21, 283–298 (2000). doi:10.1016/s0193-3973(99)00040-4

  9. M. Tomasello, The social bases of language acquisition. Soc. Dev. 1(1), 67–87 (1992)

    Article  Google Scholar 

  10. M. Krcmar, B. Grela, K. Lin, Can toddlers learn vocabulary from television? An experimental approach. Media Psychol. 10, 41–63 (2007). doi:10.1080/15213260701375652

  11. D.R. Anderson, T.A. Pempek, Television and very young children. Am. Behav. Sci. 48, 505–522 (2005). doi:10.1177/0002764204271506

  12. S. Shimada, K. Hiraki, Infant’s brain responses to live and televised action. Neuroimage 32(2), 930–939 (2006)

    Article  Google Scholar 

  13. M.H. Goldstein, J.A. Schwade, Social feedback to infants’ babbling facilitates rapid phonological learning. Psychol. Sci. 19(5), 515–523 (2008)

    Article  Google Scholar 

  14. M. Nielsen, G. Simcock, L. Jenkins, The effect of social engagement on 24-month-olds’ imitation from live and televised models. Dev. Sci. 11, 722–731 (2008). doi:10.1111/j.1467-7687.2008.00722.x

  15. S. Roseberry, K. Hirsh-Pasek, R.M. Golinkoff, Skype me! socially contingent interactions help toddlers learn language. Child Dev. 85(3), 956–970 (2014)

    Article  Google Scholar 

  16. G.L. Troseth, M.M. Saylor, A.H. Archer, Young children’s use of video as a source of socially relevant information. Child Dev. 77, 786–799 (2006)

    Article  Google Scholar 

  17. C.S. Tamis-LeMonda, Y. Kuchirko, L. Song, Why is infant language learning facilitated by parental responsiveness? Curr. Dir. Psychol. Sci. 23(2), 121–126 (2014)

    Article  Google Scholar 

  18. T. Striano, A. Henning, D. Stahl, Sensitivity to interpersonal timing at 3 and 6 months of age. Interact. Stud. 7(2), 251–271 (2006)

    Article  Google Scholar 

  19. N.A. Smith, L.J. Trainor, Infant-directed speech is modulated by infant feedback. Infancy 13(4), 410–420 (2008)

    Article  Google Scholar 

  20. R.J. Brand, D.A. Baldwin, L.A. Ashburn, Evidence for ‘motionese’: modifications in mothers’ infant-directed action. Dev. Sci. 5(1), 72–83 (2002)

    Article  Google Scholar 

  21. M. Miyazaki, K. Hiraki, Delayed intermodal contingency affects young children’s recognition of their current self. Child Dev. 77(3), 736–750 (2006)

    Article  Google Scholar 

  22. W.S. Millar, J.S. Watson, Effect of delayed feedback on infant learning reexamined. Child Dev. 50(3), 747–751 (1979)

    Article  Google Scholar 

  23. L.E. Bahrick, J.S. Watson, Detection of intermodal proprioceptive visual contingency as a potential basis of self-perception in infancy. Dev. Psychol. 21(6), 963–973 (1985)

    Article  Google Scholar 

  24. R. Moreno, R.E. Mayer, H.A. Spires, J.C. Lester, The case for social agency in computer-based teaching: do students learn more deeply when they interact with animated pedagogical agents? Cogn. Instr. 19, 177–213 (2001)

    Article  Google Scholar 

  25. A.L. Baylor, S. Kim, Designing nonverbal communication for pedagogical agents: when less is more. Comput. Hum. Behav. 25, 450–457 (2009)

    Article  Google Scholar 

  26. R.E. Mayer, C.S. DaPra, An embodiment e ect in computer-based learning with animated pedagogical agents. J. Exp. Psychol. Appl. 18, 239–252 (2012)

    Article  Google Scholar 

  27. R.K. Atkinson, R.E. Mayer, M.M. Merrill, Fostering social agency in multimedia learning: examining the impact of an animated agent’s voice. Contemp. Educ. Psychol. 30, 117–139 (2005). doi:10.1016/j.cedpsych.2004.07.001

  28. K. Shockley, M.V. Santana, C.A. Fowler, Mutual interpersonal postural constraints are involved in cooperative conversation. J. Exp. Psychol. 29, 326–332 (2003)

    Google Scholar 

  29. D.C. Richardson, R. Dale, N.Z. Kirkham, The art of conversation is coordination-common ground and the coupling of eye movements during dialogue. Psychol. Sci. 18, 407–413 (2007)

    Article  Google Scholar 

  30. N.J. Emery, The eyes have it: the neuroethology, function and evolution of social gaze. Neurosci. Biobehav. Rev. 24, 581–604 (2000)

    Article  Google Scholar 

  31. M. Morales, P. Mundy, C.E.F. Delgado, M. Yale, D. Messinger, R. Neal, H.K. Schwartz, Responding to joint attention across the 6-through 24-month age period and early language acquisition. J. Appl. Dev. Psychol. 21, 283–298 (2000)

    Article  Google Scholar 

  32. R. Brooks, A.N. Meltzoff, The development of gaze following and its relation to language. Dev. Sci. 8, 535–543 (2005)

    Article  Google Scholar 

  33. T. Striano, X. Chen, A. Cleveland, S. Bradshaw, Joint attention social cues influence infant learning. Eur. J. Dev. Psychol. 3, 289–299 (2006)

    Article  Google Scholar 

  34. A. Senju, G. Csibra, Gaze following in human infants depends on communicative signals. Curr. Biol. 18, 239–252 (2008)

    Article  Google Scholar 

  35. Y. Okumura, Y. Kanakogi, T. Kanda, H. Ishiguro, S. Itakura, The power of human gaze on infant learning. Cognition 128, 127–133 (2013)

    Article  Google Scholar 

  36. S. D’Mello, A. Olney, C. Williams, P. Hays, Gaze tutor: a gaze-reactive intelligent tutoring system. Int. J. Hum. Comput. Stud. 70, 377–398 (2012)

    Article  Google Scholar 

  37. L. Schilbach, M. Wilms, S.B. Eickho, S. Romanzetti, R. Tepest, G. Bente, N.J. Shah, G.R. Fink, K. Vogeley, Minds made for sharing: initiating joint attention recruits reward-related neurocircuitry. J. Cogn. Neurosci. 22, 2702–2715 (2010)

    Article  Google Scholar 

  38. M. Tomasello, M.J. Farrar, Joint attention and early language. Child Dev. 57, 1454–1463 (1986)

    Article  Google Scholar 

  39. J. Blascovich, J. Loomis, A.C. Beall, K.R. Swinth, C.L. Hoyt, J.N. Bailenson, Immersive virtual environment technology as a methodological tool for social psychology. Psychol. Inq. 13, 103–124 (2002)

    Google Scholar 

  40. M. Krcmar, B. Grela, K. Lin, Can toddlers learn vocabulary from television? an experimental approach. Media Psychol. 10, 41–63 (2007)

    Article  Google Scholar 

  41. M. Krcmar, Can social meaningfulness and repeat exposure help infants and toddlers overcome the video de cit? Media Psychol. 13, 31–53 (2010)

    Article  Google Scholar 

  42. K.W. Lau, H.K. Tan, B.T. Erwin, P. Petrovic, Creative learning in school with LEGO (R) programmable robotics products, in 29th Annual 1999 FIE’99 Frontiers in Education Conference, vol. 2, pp. 12D4-26 (1999)

    Google Scholar 

  43. P. Mosley, R. Kline, Engaging students: a framework using LEGO robotics to teach problem solving. J. Inf. Technol. Learn. Perform. 24(1), 39 (2006)

    Google Scholar 

  44. M. Cooper, D. Keating, W. Harwin, K. Dautenhahn, Robots in the classroom: tools for accessible education, in Assistive Technology on the Threshold of the New Millennium, ed. by C. Buhler, H. Knops (IOS Press, Amsterdam, 1999), pp. 448–452

    Google Scholar 

  45. F. Tanaka, J.R. Movellan, B. Fortenberry, K. Aisaka, Daily HRI evaluation at a classroom environment: reports from dance interaction experiments, in Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction, ACM, pp. 3–9 March 2006

    Google Scholar 

  46. F. Tanaka, A. Cicourel, J.R. Movellan, Socialization between toddlers and robots at an early childhood education center. Proc. Natl. Acad. Sci. 104(46), 17954–17958 (2007)

    Article  Google Scholar 

  47. M. Fridin, Storytelling by a kindergarten social assistive robot: a tool for constructive learning in preschool education. Comput. Educ. 70, 53–64 (2014)

    Article  Google Scholar 

  48. C.W. Chang, J.H. Lee, P.Y. Chao, C.Y. Wang, G.D. Chen, Exploring the possibility of using humanoid robots as instructional tools for teaching a second language in primary school. Educ. Technol. Soc. 13(2), 13–24 (2010)

    Google Scholar 

  49. F. Warneken, M. Tomasello, Altruistic helping in human infants and young chimpanzees. Science 311, 1301–1303 (2006)

    Article  Google Scholar 

  50. E. Yamamoto, G. Matsuda, K. Nagata, D. Naoko, K. Hiraki, Subtle temporal delays on mothers’ responses affect imitation learning in children: mother-child interaction study. (submitted)

    Google Scholar 

  51. H. Lee, Y. Kanakogi, K. Hiraki, Building a responsive teacher: how temporally contingent gaze interaction influences word learning with virtual tutors. R. Soc. Open Sci. 2, 140361 (2015)

    Article  Google Scholar 

  52. H. Okazaki, Y. Kanai, M. Ogata, K. Hasegawa, K. Ishii, M. Imai, Toward understanding pedagogical relationship in human-robot interaction. J. Robot. Mechatron. 28(1), 69–78 (2016)

    Google Scholar 

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Acknowledgements

This research was supported by CREST, JST. I would like to thank all children and mothers who participated in our experimental studies. This project has been conducted with the following members, Michita Imai (Keio University), Akiko Hayashi (Tokyo Gakugei University), Shinta Kimura (Animo).

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Correspondence to Kazuo Hiraki .

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Hiraki, K. (2017). Pedagogical Machine: Studies Towards a Machine that Teaches Humans. In: Nishida, T. (eds) Human-Harmonized Information Technology, Volume 2. Springer, Tokyo. https://doi.org/10.1007/978-4-431-56535-2_8

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  • DOI: https://doi.org/10.1007/978-4-431-56535-2_8

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