Distorted Time Perception during Flow as Revealed by an Attention-Demanding Cognitive Task

References

• Abuhamdeh, S., & Csikszentmihalyi, M. (2012a). Attentional involvement and intrinsic motivation. Motivation and Emotion, 36, 257–267. doi:10.1007/s11031-011-9252-7
   Web of Science ®Google Scholar
• Abuhamdeh, S., & Csikszentmihalyi, M. (2012b). The importance of challenge for the enjoyment of intrinsically motivated, goal-directed activities. Personality and Social Psychology Bulletin, 38, 317–330. doi:10.1177/0146167211427147
   PubMed Web of Science ®Google Scholar
• Agarwal, R., & Karahanna, E. (2000). Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24, 665–694. doi:10.2307/3250951
   Web of Science ®Google Scholar
• Allen, M. D., Owens, T. E., Fong, A. K., & Richards, D. R. (2011). A functional neuroimaging analysis of the trail making test-B: Implications for clinical application. Behavioral Neurology, 24, 159–171. doi:10.1155/2011/476893
   PubMed Web of Science ®Google Scholar
• Arbuthnott, K., & Frank, J. (2000). Trail making test, part B as a measure of executive control: Validation using a set-switching paradigm. Journal of Clinical and Experimental Neuropsychology, 22, 518–528. doi:10.1076/1380-3395(200008)22:4;1-0;ft518
   PubMed Web of Science ®Google Scholar
• Block, R. A., Hancock, P. A., & Zakay, D. (2010). How cognitive load affects duration judgments: A meta-analytic review. Acta Psychologica, 134, 330–343. doi:10.1016/j.actpsy.2010.03.006
   PubMed Web of Science ®Google Scholar
• Block, R. A., & Zakay, D. (1997). Prospective and retrospective duration judgments: A meta-analytic review. Psychonomic Bulletin & Review, 4, 184–197. doi:10.3758/bf03209393
   PubMed Web of Science ®Google Scholar
• Brown, S. W. (1997). Attentional resources in timing: Interference effects in concurrent temporal and nontemporal working memory tasks. Perception & Psychophysics, 59, 1118–1140. doi:10.3758/bf03205526
   PubMed Web of Science ®Google Scholar
• Campbell, L. A., & Bryant, R. A. (2007). How time flies: A study of novice skydivers. Behaviour Research and Therapy, 45, 1389–1392. doi:10.1016/j.brat.2006.05.011
   PubMed Web of Science ®Google Scholar
• Carli, M., Delle Fave, A., & Massimini, F. (1988). The quality of experience in the flow channels: Comparison of Italian and U.S. students. In M. Csikszentmihalyi & I. Csikszentmihalyi (Eds.), Optimal experience: Psychological studies of flow in consciousness (pp. 288–306). New York, NY: Cambridge University Press.
   Google Scholar
• Chaston, A., & Kingstone, A. (2004). Time estimation: The effect of cortically mediated attention. Brain and Cognition, 55, 286–289. doi:10.1016/j.bandc.2004.02.013
   PubMed Web of Science ®Google Scholar
• Choe, K., Kang, Y., Seo, B. S., & Yang, B. (2015). Experiences of learning flow among Korean adolescents. Learning and Individual Differences, 39, 180–185. doi:10.1016/j.lindif.2015.03.012
   Web of Science ®Google Scholar
• Conti, R. (2001). Time flies: Investigating the connection between intrinsic motivation and the experience of time. Journal of Personality, 69, 1–26. doi:10.1111/1467-6494.00134
   PubMed Web of Science ®Google Scholar
• Csikszentmihalyi, M. (1975). Beyond boredom and anxiety. San Francisco, CA: Jossey-Bass.
   Google Scholar
• Csikszentmihalyi, M. (1990). Flow: The Psychology of optimal experience. New York, NY: Harper and Row.
   Google Scholar
• Csikszentmihalyi, M., & Csikszentmihalyi, I. (1988). Introduction to part IV. In M. Csikszentmihalyi & I. Csikszentmihalyi (Eds.), Optimal experience: Psychological studies of flow in consciousness (pp. 251–265). New York, NY: Cambridge University Press.
   Google Scholar
• Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the Experience-Sampling Method. The Journal of Nervous and Mental Disease, 175, 526–536. doi:10.1097/00005053-198709000-00004
   PubMed Web of Science ®Google Scholar
• De Manzano, Ö., Cervenka, S., Jucaite, A., Hellenas, O., Farde, L., & Ullén, F. (2013). Individual differences in the proneness to have flow experiences are linked to dopamine D2-receptor availability in the dorsal striatum. NeuroImage, 67, 1–6. doi:10.1016/j.neuroimage.2012.10.072
   PubMed Web of Science ®Google Scholar
• Demerouti, E. (2006). Job characteristics, flow and performance: The moderating role of conscientiousness. Journal of Occupational Health Psychology, 11, 266–280. doi:10.1037/1076-8998.11.3.266
   PubMed Web of Science ®Google Scholar
• Dietrich, A. (2004). Neurocognitive mechanisms underlying the experience of flow. Consciousness and Cognition, 13, 746–761. doi:10.1016/j.concog.2004.07.002
   PubMed Web of Science ®Google Scholar
• Engeser, S., & Rheinberg, F. (2008). Flow, performance and moderators of challenge-skill balance. Motivation and Emotion, 32, 158–172. doi:10.1007/s11031-008-9102-4
   Web of Science ®Google Scholar
• Fong, C. J., Zaleski, D. J., & Leach, J. K. (2015). The challenge-skill balance and antecedents of flow. A Meta-Analytic Investigation. The Journal of Positive Psychology, 10, 425–446. doi:10.1080/17439760.2014.967799
   Web of Science ®Google Scholar
• Ghani, J. A., & Deshpande, S. P. (1994). Task characteristics and the experience of optimal flow in human-computer interaction. The Journal of Psychology, 128, 381–391. doi:10.1080/00223980.1994.9712742
   Web of Science ®Google Scholar
• Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60, 50–68. doi:10.2307/1251841
   Web of Science ®Google Scholar
• Jackson, S. A. (1996). Toward a conceptual understanding of the flow experience in elite athletes. Research Quarterly for Exercise and Sport, 67, 76–90. doi:10.1080/02701367.1996.10607928
   PubMed Web of Science ®Google Scholar
• Jackson, S. A., & Roberts, G. C. (1992). Positive performance states of athletes: Toward a conceptual understanding of peak performance. Sport Psychologist, 6, 156–171. doi:10.1123/tsp.6.2.156
   Google Scholar
• Keller, J., & Bless, H. (2008). Flow and regulatory compatibility: An experimental approach to the flow model of intrinsic motivation. Personality and Social Psychology Bulletin, 34, 196–209. doi:10.1177/0146167207310026
   PubMed Web of Science ®Google Scholar
• Keller, J., Bless, H., Blomann, F., & Kleinböhl, D. (2011). Physiological aspects of flow experiences: Skills-demand-compatibility effects on heart rate variability and salivary cortisol. Journal of Experimental Social Psychology, 47, 849–852. doi:10.1016/j.jesp.2011.02.004
   Web of Science ®Google Scholar
• Keller, J., & Blomann, F. (2008). Locus of control and the flow experience: An experimental analysis. European Journal of Personality, 22, 589–607. doi:10.1002/per.692
   Web of Science ®Google Scholar
• Kennedy, P., Miele, D. B., & Metcalfe, J. (2014). The cognitive antecedents and motivational consequences of the feeling of being in the zone. Consciousness and Cognition, 30, 48–61. doi:10.1016/j.concog.2014.07.007
   PubMed Web of Science ®Google Scholar
• MacDonald, R., Byrne, C., & Carlton, L. (2006). Creativity and flow in musical composition: An empirical investigation. Psychology of Music, 34, 292–306. doi:10.1177/0305735606064838
   Google Scholar
• Mainemelis, C. (2002). Time and timelessness: Creativity in (and out of) the temporal dimension. Creativity Research Journal, 14, 227–238. doi:10.1207/s15326934crj1402_9
   Web of Science ®Google Scholar
• Massimini, F., & Carli, M. (1988). The systematic assessment of flow in daily experience. In M. Csikszentmihalyi & I. Csikszentmihalyi (Eds.), Optimal experience: Psychological studies of flow in consciousness (pp. 266–287). New York, NY: Cambridge University Press.
   Google Scholar
• Moneta, G. B. (2012). On the measurement and conceptualization of flow. In S. Engeser (Ed.), Advances in flow research (pp. 23–50). New York, NY: Springer.
   Google Scholar
• Moneta, G. B., & Csikszentmihalyi, M. (1996). The effect of perceived challenges and skills on the quality of subjective experience. Journal of Personality, 64, 275–310. doi:10.1111/j.1467-6494.1996.tb00512.x
   PubMed Web of Science ®Google Scholar
• Nakamura, J., & Csikzentmihalyi, M. (2002). The concept of flow. In C. R. Snyder & S. J. Lopez (Eds.), Handbook of positive psychology (pp. 89–105). Oxford, UK: Oxford University Press.
   Google Scholar
• Nisbett, R. E., & Wilson, T. D. (1977). Telling more than we can know: Verbal reports on mental processes. Psychological Review, 84, 231–259. doi:10.1037/0033-295x.84.3.231
   Web of Science ®Google Scholar
• Novak, T. P., Hoffman, D. L., & Yung, Y. F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19, 22–42. doi:10.1287/mksc.19.1.22.15184
   Web of Science ®Google Scholar
• Reitan, R. M., & Wolfson, D. (2004). The trail making test as an initial screening procedure for neuropsychological impairment in older children. Archives of Clinical Neuropsychology, 19, 281–288. doi:10.1016/s0887-6177(03)00042-8
   PubMed Web of Science ®Google Scholar
• Sackett, A. M., Meyvis, T., Nelson, L. D., Converse, B. A., & Sackett, A. L. (2010). You’re having fun when time flies: The hedonic consequences of subjective time progression. Psychological Science, 21, 111–117. doi:10.1177/0956797609354832
   PubMed Web of Science ®Google Scholar
• Schiefele, U., & Raabe, A. (2011). Skills-demands compatibility as a determinant of flow experience in an inductive reasoning task. Psychological Reports, 109, 428–444. doi:10.2466/04.22.pr0.109.5.428-444
   PubMed Web of Science ®Google Scholar
• Schüler, J. (2007). Arousal of flow experience in a learning setting and its effects on exam performance and affect. Zeitschrift Für Pädagogische Psychologie, 21, 217–227. doi:10.1024/1010-0652.21.3.217
   Web of Science ®Google Scholar
• Shernoff, D. J., Csikszentmihalyi, M., Schneider, B., & Shernoff, E. S. (2003). Student engagement in high school classrooms from the perspective of flow theory. School Psychology Quarterly, 18, 158–176. doi:10.1521/scpq.18.2.158.21860
   Web of Science ®Google Scholar
• Sherry, J. L. (2004). Flow and media enjoyment. Communication Theory, 14, 328–347. doi:10.1093/ct/14.4.328
   Web of Science ®Google Scholar
• Skadberg, Y. X., & Kimmel, J. R. (2004). Visitors’ flow experience while browsing a web site: Its measurement, contributing factors and consequences. Computers in Human Behavior, 20, 403–422. doi:10.1016/s0747-5632(03)00050-5
   Web of Science ®Google Scholar
• Sweetser, P., & Wyeth, P. (2005). GameFlow: A model for evaluating player enjoyment in games. Computers in Entertainment, 3, 1–24. doi:10.1145/1077246.1077253
   Google Scholar
• Thomas, K. E., Handley, S. J., & Newstead, S. E. (2007). The role of prior task experience in temporal misestimation. The Quarterly Journal of Experimental Psychology, 60, 230–240. doi:10.1080/17470210600785091
   Web of Science ®Google Scholar
• Ulrich, M., Keller, J., Hoenig, K., Waller, C., & Grön, G. (2014). Neural correlates of experimentally induced flow experiences. NeuroImage, 86, 194–202. doi:10.1016/j.neuroimage.2013.08.019
   PubMed Web of Science ®Google Scholar
• Weber, R., Tamborini, R., Westcott-Baker, A., & Kantor, B. (2009). Theorizing flow and mediaenjoyment as cognitive synchronization of attentional and reward networks. Communication Theory, 19, 397–422. doi:10.1111/j.1468-2885.2009.01352.x
   Web of Science ®Google Scholar
• Zakay, D., Nitzan, D., & Glicksohn, J. (1983). The influence of task difficulty and external tempo on subjective time estimation. Perception & Psychophysics, 34, 451–456. doi:10.3758/bf03203060
   PubMed Web of Science ®Google Scholar