The Flow Grid: A Technique for Observing and Measuring Emotional State in Children Interacting with a Flow Machine

References

• Addessi, A.R. (2014). Developing a theoretical foundation for the reflexive interaction paradigm with implications for training music skill and creativity. Psychomusicology: Music, Mind, and Brain, 24(3), 214–230.
   Google Scholar
• Addessi, A.R. (2013). Child/machine interaction in reflexive environment. The MIROR Platform. In R. Bresin (Ed.), Proceedings of the Sound and Music Computing Conference (SMC2013) (pp. 95–102). Berlin: Logos Verlag Berlin GmbH.
   Google Scholar
• Addessi, A.R., Ferrari, L., Carlotti, S., & Pachet, F. (2006). Young children musical experience with a flow machine. In M. Baroni, A.R. Addessi, R. Caterina, & M. Costa (Eds.), Proceedings of the 9th International Conference on Music Perception and Cognition (ICMPC) and 6th Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM) (pp. 1658–1665). Bologna: Bononia University Press.
   Google Scholar
• Addessi, A.R., & Pachet, F. (2005). Experiments with a musical machine. Musical style replication in 3/5-year-old children. British Journal of Music Education, 22(1), 21–46.
   Google Scholar
• Addessi, A.R., & Pachet, F. (2006). Young children confronting the Continuator, an interactive reflective musical system Musicae Scientiae, 10(Suppl. 1), 13–39.
   Google Scholar
• Addessi, A.R. & Volpe, G. (2011). The MIROR Project. Towards ubiquitous learning. Proceedings of the Sixth European Conference on Technology Enhanced Learning (pp. 15–28). Berlin: Springer Verlag.
   Google Scholar
• Assayag, G., & Dubnov, S. (2004). Using factor oracles for machine improvisation. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 8(9), 604–610.
   Google Scholar
• Assayag, G., Dubnov, S. & Delerue, O. (1999). Guessing the composer’s mind: Applying universal prediction to musical style. In Proceedings of International Computing Music Conference Beijing, China (pp. 496–499). Ann Arbor, MI: Michigan Publishing.
   Google Scholar
• Anzieu, D. (1996). Les enveloppes psychiques. Paris: Dunod.
   Google Scholar
• Bruner, J. (1983). Child’s talk: Learning to use language. New York: Norton.
   Google Scholar
• Burnard, P. (2006). Understanding children’s meaning-making as composers. In I. Deliège, & G.A. Wiggins. (Eds.), Musical creativity. Multidisciplinary research in theory and practice (pp. 111–132). Hove: Psychology Press.
   Google Scholar
• Byrne, C., McDonalds, R., & Carlton, L. (2003). Assessing creativity in musical composition: Flow as an assessment tool. British Journal of Music Education, 20(3), 277–290.
   Google Scholar
• Chartrand, T.L., & Bargh, J.A. (1999). The chameleon effect: The perception-behaviour link and social interaction. Journal of Personality and Social Psychology, 76, 893–910.
   PubMed Web of Science ®Google Scholar
• Cope, D. (1996). Experiments in musical intelligence. Madison, WI: A-R Editions.
   Google Scholar
• Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York: Harper & Row.
   Google Scholar
• Csikszentmihalyi, M. (1996). Creativity: Flow and the psychology of discovery and invention. New York: Harper-Collins.
   Google Scholar
• Csikszentmihalyi, M. (1997). Finding flow: The psychology of engagement with everyday life. New York: Basic Book.
   Google Scholar
• Csikszentmihalyi, M., & Csikszentmihalyi, I.S. (Eds.) (1988). Optimal experience. Psychological studies of flow in consciousness. New York: Cambridge University Press.
   Google Scholar
• Custodero, L.A. (2005). Observable indicators of flow experience: A development perspective on musical engagement in young children from infancy to school age. Music Education Research, 7(2), 185–209.
   Google Scholar
• Custodero, L.A. (2011). The call to create: Flow experience in music learning and teaching. In D. Hargreaves, D. Miell, & R. MacDonald. (Eds.), Musical imagination. Multidisciplinary perspectives on creativity, performance and perception (pp. 369–384). Oxford: Oxford University Press.
   Google Scholar
• Delalande, F. (1993). Le condotte musicali. Bologna: CLUEB.
   Google Scholar
• Deliège, I. (2001). Similarity perception - Categorization - Cue abstraction. Music Perception, 18, 233–243.
   Google Scholar
• Dissanayake, E. (2000). Antecedents of the temporal arts in early mother-infant interaction. In N.L. Wallin, & B. Merker (Eds.), The origin of music (pp. 389–410). Cambridge, MA: Massachusetts Institute of Technology Press.
   Google Scholar
• Ferrari, L., & Addessi, A.R. (2014). A new way to play music together: The Continuator in a classroom setting. International Journal of Music Education, 32(2), 171–184.
   Web of Science ®Google Scholar
• Finneran, C.M., & Zhang, P. (2005). Flow in computer-mediated environments: Promises and challenges. Communications of the Association for Information Systems, 15, 82–101.
   Google Scholar
• Fogel, A. (2000). Oltre gli individui: un approccio storico-relazionale alla teoria e alla ricerca sulla comunicazione. In M.L. Genta (Ed.), Il rapporto madre-bambino (pp. 123–161). Rome: Carocci.
   Google Scholar
• Fober, D., Letz, S., & Orlarey, Y. (2007). VEMUS - Feedback and groupware technologies for music instrument learning. In C. Spyridis, A. Georgaki, G. Kouroupetroglou, & C. Anagnostopoulou (Eds.), Proceedings of the 4th Sound and Music Computing Conference (SMC07), Lefkada, Greece, 117–123.
   Google Scholar
• Gratier, M., & Apter-Danon, G. (2008). The musicality of belonging: Repetition and variation in mother-infant interaction. In C. Trevarthen, & S. Malloch (Eds.), Communicative musicality (pp. 301–327). Oxford: Oxford University Press.
   Google Scholar
• Gonzalez Thomas, N., Pasquier, Ph., Eigenfeldt, A. & Maxwell, J.B. (2013). A methodology for the comparison of melodic generation models using META-MELO. In A. De Souza Britto Jr, F. Gouyon, & S. Dixon. (Eds.), Proceedings of 14th International Society for Music Information Retrieval Conference (ISMIR2013) (pp. 561–566). Curitiba, Brazil: ISMIR.
   Google Scholar
• Imberty, M. (2005). La musique creuse le temps. De Wagner à Boulez. Musique, psychologie, psychoanalyse. Paris: L’Harmattan.
   Google Scholar
• Jackson, S., & Eklund, R. (2004). The flow scale manual. Morgantown: Fitness Information Technology.
   Google Scholar
• Kurtág, G., Di Santo, J.L., Desainte-Catherine, M. & Guillem, Ph. (2007). Pédagogie de l’électroacoustique: du geste musical à la composition assistée par l’ordinateur. In Proceedings of the 12èmes Journées d’Informatique Musicale (pp. 73–78). Lyon: GRAME.
   Google Scholar
• Lakin, J.L., & Chartrand, T.L. (2003). Using nonconscious behavioral mimicry to create affiliation and rapport. Psychological Science, 14, 334–339.
   PubMed Web of Science ®Google Scholar
• Leman, M., Lesaffre, M., Nijs, L., & Deweppe, A. (2010). User-oriented studies in embodied music cognition research. Musicae Scientiae, 14 (Suppl. 2), 203–224.
   Google Scholar
• Lesaffre, M., Nijs, L., & Leman, M. (2009). Interacting with music mediation technology for hearing impaired - first tests with normal hearing subjects. In J. Louhivuori, T. Eerola, T. Himberg, S. Saarikallio, & P.-S. Eerola (Eds.), Proceedings of the 7th Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM2009) (pp. 267–270). Jyvaskyla, Finland.
   Google Scholar
• Malloch, S. (2000). Mothers and infants and communicative musicality. Musicae Scientiae, 3(Suppl. 1), 29–58.
   Google Scholar
• Maxwell, J.B., Eigenfeldt, A., Pasquier, P. & Gonzalez Thomas, N. (2012). MusiCOG: A cognitive architecture for music learning and generation. In Proceedings of the 9th Sound and Music Computing conference (SMC2012) (pp. 521–528). Copenhagen, Denmark.
   Google Scholar
• McDonald, R., Byrne, C., & Carlton, L. (2006). Creativity and flow in musical composition: An empirical investigation. Psychology of Music, 34(3), 292–306.
   Google Scholar
• McPherson, G. (2005). From child to musician: Skill development during the beginning stage of learning an instrument. Psychology of Music, 33, 5–35.
   Google Scholar
• Meeùs, N. (1993). Le rapports associatifs comme déterminants du style. Analyse Musicale, 32, 9–13.
   Google Scholar
• Nadel, J., & Butterworh, G. (Eds.) (1999). Imitation in infancy. Cambridge: Cambridge University Press.
   Google Scholar
• Nattiez, J.J. (1987). Musicologie générale et sémiologie. Paris: Bourgois.
   Google Scholar
• Nijs, L., Moens, B., Lesaffre, M., & Leman, M. (2012). The Music Paint Machine: Stimulating self-monitoring through the generation of creative visual output using a technology-enhanced learning tool. Journal of New Music Research, 41(1), 79–101.
   Web of Science ®Google Scholar
• O’Neill, S.A., & McPherson, G. (2002). Motivation. In R. Parncutt, & G. McPherson (Eds.), The science and psychology of music (pp. 31–47). Oxford: Oxford University Press.
   Google Scholar
• Pachet, F. (2003). Music interaction with style. Journal of New Music Research, 32(3), 333–341.
   Web of Science ®Google Scholar
• Pachet, F. (2004). On the design of Flow Machine. In M. Tokoro (Ed.), A learning zone of one’s own: Sharing representations and flow in collaborative learning environments (pp. 111–134). The Netherlands: IOS Press.
   Google Scholar
• Pachet, F. (2006). Creativity studies and musical interaction. In I. Deliège, & G.A. Wiggins. (Eds.), Musical creativity. Multidisciplinary research in theory and practice (pp. 347–358). Hove: Psychology Press.
   Google Scholar
• Pachet, F., & Addessi, A.R. (2004). Children reflect on their own playing style: Experiments with Continuator and children. ACM Computers in Entertainment, 1(2), 1–13.
   Google Scholar
• Pachet, F., Roy, P. & Barbieri, G. (2011). Finite-Length Markov processes with constraints. In Proceedings of Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI2011) (pp. 635–642). Menlo Park, CA: AAAI/International Joint Conference on Artificial Intelligence.
   Google Scholar
• Papousěk, M. (1995). Le comportement parental intuitif, source cachée de la stimulation musicale dans la petite enfance. In I. Deliège, & J. Sloboda (Eds.), Naissance et développement du sens musical (pp. 101–130). Paris: Presses Universitaires de France.
   Google Scholar
• Riva, G., Waterworth, J., & Waterworth, E. (2004). The layers of presence: A bio-cultural approach to understanding presence in natural and mediated environments. Cyber Psychology & Behavior, 7(4), 402–415.
   PubMedGoogle Scholar
• Rizzolatti, G., Fadiga, L., Gallese, V., & Fogassi, L. (1998). Premotor cortex and the recognition of motor actions. Cognition Brain Research, 3(2), 131–141.
   Web of Science ®Google Scholar
• Ruwet, N. (1966). Méthodes d’analyse en musicologie. Revue belge de Musicologie, 20, 65–90.
   Google Scholar
• Sheridan, M., & Byrne, C. (2002). Ebb and flow of assessment in music. British Journal of Music Education, 19(2), 135–143.
   Google Scholar
• Smolej Fritz, B., & Avsec, A. (2007). The experience of flow and subjective well-being of music students. Horizons of Psychology, 16(2), 5–17.
   Google Scholar
• Stern, D. (2004). The present moment in psychotherapy and in everyday life. New York: Norton.
   Google Scholar
• Teddlie, C., & Tashakkori, A. (2009). Foundations of mixed methods research. Integrating quantitative and qualitative approaches in the social and behavioural sciences. Thousand Oaks, CA: SAGE Publications.
   Google Scholar
• Toiviainen, P. (Ed.) (2007). Similarity perception in listening to music [Special Issue]. Musicae Scientiae, 11.
   Google Scholar
• Trevarthen, C. (2000). Musicality and the intrinsic motive pulse: Evidence from human psychobiology and infant communication. Musicae Scientiae, 3(Suppl. 1), 155–215.
   Google Scholar
• Triviño-Rodriguez, J.L., & Morales-Bueno, R. (2001). Using multiattribute prediction suffix graphs to predict and generate music. Computer Music Journal, 25(3), 62–79.
   Web of Science ®Google Scholar
• Volpe, G., Varni, G., Addessi, A.R. & Mazzarino, B. (2012). BeSound: Embodied reflexion in childhood. In Proceedings of the 11th International Conference on Interaction Design and Children (IDC2012) (pp. 172–175). New York, ACM.
   Google Scholar
• Vygotsky, L. (1962). Thought and language. Cambridge, MA: Massachusetts Institute of Technology Press.
   Google Scholar