Reflections on technologies for studying children and media

References

• Anderson, D. R. (2004). Watching children watch television and the creation of Blue’s Clues. In H. Hendershot (Ed.), Nickelodeon nation: The history, politics, and economics of America’s only TV channel for kids (pp. 241–268). New York: New York University Press.
   Google Scholar
• Anderson, D. R. (2007). A neuroscience of children and media? Journal of Children and Media, 1, 77–85.
   Google Scholar
• Anderson, D. R., & Davidson, M. C. (2019). Receptive versus interactive video screens: A role for the brain’s default mode network in learning from media. Computers in Human Behavior, 99, 168–180.
   Google Scholar
• Anderson, D. R., & Kirkorian, H. L. (2006). Attention and television. In J. Bryant & P. Vorderer (Eds.), The psychology of entertainment (pp. 35–54). Mahway: NJ: Erlbaum.
   Google Scholar
• Anderson, D. R., Lorch, E. P., Collins, P. A., Field, D. E., & Nathan, J. G. (1986). Television viewing at home: Age trends in visual attention and time with TV. Child Development, 57, 1024–1033.
   Google Scholar
• Bae, S., Han, D. H., Jung, J., Nam, K. C., & Renshaw, P. K. (2017). Comparison of brain connectivity between Internet gambling disorder and Internet gaming disorder: A preliminary study. Journal of Behavioral Addictions, 6, 5050–5515.
   Google Scholar
• Calvert, S. L., Richards, M. N., & Kent, C. C. (2014). Personalized interactive characters for toddlers’ learning of seriation from a video presentation. Journal of Applied Developmental Psychology, 35, 138–155.
   Google Scholar
• Christakis, D. A., Gilkerson, J., Richards, J. A., Zimmermann, F. J., Garrison, M. M., Xu, D., … Yapenel, U. (2009). Audible television and decreased adult words, infant vocalizations, and conversational turns: A population based study. Archives of Pediatric & Adolescent Medicine, 163, 554–558.
   Google Scholar
• Christakis, D. A., Liekweg, K., Garrison, M. M., & Wright, J. A. (2013). Infant video viewing and salivary cortisol responses: A randomized experiment. Journal of Pediatrics, 162, 1035–1040.
   Google Scholar
• The Geena Davis Institute on Gender in Media. (2019). See Jane 2019: Historic gender parity in children’s television. Los Angeles: Mount Saint Mary's University.
   Google Scholar
• Gentile, D. A., Bender, P. K., & Anderson, C. A. (2017). Violent video game effects on salivary cortisol, arousal, and aggressive thoughts in children. Computers in Human Behavior, 70, 39–43.
   Google Scholar
• Golub, Y., Kuitunen-Paul, S., Panaseth, K., Stonawski, V., Frey, S., Steigleder, R., … Eichler, A. (2019). Salivary and hair cortisol as biomarkers of emotional and behavioral symptoms in 6–9 year old children. Physiology & Behavior, 209, 112584.
   Google Scholar
• Grimes, T., Bergen, L., Nichols, K., Vernberg, E., & Fonagy, P. (2004). Is psychopathology the key to understanding why some children become aggressive when they are exposed to violent television programming? Human Communication Research, 30, 153–181.
   Google Scholar
• Hannon, E., Lunnon, K., Schalkwyk, L., & Mill, J. (2015). Interindividual methylomic variation across blood, cortex, and cerebellum: Implications for epigenetic studies of neurological and neuropsychiatric phenotypes. Epigenetics, 10(11), 1024–1032.
   Google Scholar
• Hasson, U., Nir, Y., Levy, I., Furhmann, G., & Malach, R. (2004). Intersubject synchronization of cortical activity during natural vision. Science, 303, 1634–1640.
   Google Scholar
• Kim, J., Rüsch, A., Huppert, T. J., Kainerstorfer, J., Thiessen, E. D., & Fisher, A. V. (2017, April). Resting state functional connectivity with fNIRS: A new “Freeplay” paradigm. Poster presented at biennial meeting of the society for research in child development. Austin, TX: Society for Research in Child Development.
   Google Scholar
• Kirkorian, H. L., & Anderson, D. R. (2018). The effect of sequential shot comprehensibility on attentional synchrony while watching video: A comparison of children and adults. Proceeding of the National Academy of Sciences, 115, 9867–9874.
   Google Scholar
• Kirkorian, H. L., Anderson, D. R., & Keen, R. (2012). Age differences in online processing of video: An eye movement study. Child Development, 83, 497–507.
   Google Scholar
• Lemish, D. (2019). “A room of our own”: Farewell comments on editing the journal of children and media. Journal of Children and Media, 13, 116–126.
   Google Scholar
• Norman, G. J., Carlson, J. A., Patrick, K., Kolodziejcszyk, J. K., Godino, J. G., Huang, J., & Thyfault, J. (2017). Sedentary behavior and cardiometabolic health associations in obese 11–13-year olds. Childhood Obesity, 13, 425–432. doi:10.1089/chi.2017.0048
   Google Scholar
• Paulus, M. P., Squeglia, L. M., Bagot, K., Jacobus, J., Kuplicki, R., Breslin, F. J., … Tapert, S. F. (2019). Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study. NeuroImage, 185, 140–153.
   Google Scholar
• Petersen, S. E., & Sporns, O. (2015). Brain networks and cognitive architectures. Neuron, 88, 207–219.
   Google Scholar
• Plomin, R., Corley, R., DeFries, J. C., & Fulker, D. W. (1990). Individual differences in television viewing in early childhood: Nature as well as nurture. Psychological Science, 1, 371–377.
   Google Scholar
• Richards, J. E., & Gibson, T. L. (1997). Extended visual fixation in young infants: Look distributions, heart rate changes, and attention. Child Development, 68, 1041–1056.
   Google Scholar
• Schmitt, K. L., Woolf, K. D., & Anderson, D. R. (2003). Viewing the viewers: Viewing behaviors by children and adults during television programs and commercials. Journal of Communication, 53, 265–281.
   Google Scholar
• Van Roekel, E. H., Dugue, P. A., Jung, C. H., Joo, J. E., Makalic, E., Wong, E. M., … Milne, R. L. (2019). Physical activity, television viewing time, and DNA methylation in peripheral blood. Medicine & Science in Sports & Exercise, 1, 490–498.
   Google Scholar
• Yang, X., Ram, N., Robinson, T., & Reeves, B. (2019). Using screenshots to predict task switching on smartphones. Association of Computing Machinery Conference Proceedings, Glasgow, Scotland.
   Google Scholar