Abstract
Searching vast library collections for books to read can be overwhelming for children. The information-seeking behavior of children differs greatly from that of adults; if the information is too complex and large in quantity, information overload may occur. Thus, book recommendation systems for children must match their information-processing abilities. This study grounded on the accessibility-diagnosticity theory proposed by Feldman and Lynch aimed to investigate the relationships among the cognitive abilities, information-seeking behavior, and eye movement behavior of children of different ages faced with different types of information. Our results indicate that age, perceptual speed, and the number of round-trip choices influence eye movement behavior for both accessible information and diagnostic information, whereas associative memory was only correlated with eye movement behavior for diagnostic information. This study employed physiological and psychological indicators to explain information identification responses to verify the cognitive effects of different types of information. These results can be applied to meet the specific needs of children regarding information-seeking while sparking their interest in self-learning, both of which will aid in the development of smart library services for digital natives.
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References
Wilson, T.D.: Human information behavior. Inform. Sci. 3, 49 (2000)
Reuter, K., Druin, A.: Bringing together children and books: an initial descriptive study of children’s book searching and selection behavior in a digital library. Proc. Am. Soc. Inf. Sci. Technol. 41, 339–348 (2004)
Knoblich, G., Ohlsson, S., Raney, G.E.: An eye movement study of insight problem solving. Mem. Cognit. 29, 1000–1009 (2001). https://doi.org/10.3758/BF03195762
Fischer, K.W.: A theory of cognitive development: the control and construction of hierarchies of skills. Psychol. Rev. 87, 477 (1980)
Sanders, M.S., McCormick, E.J.: Human factors in engineering and design. Ind. Robot Int. J. 25, 153 (1998). https://doi.org/10.1108/ir.1998.25.2.153.2
Feldman, J.M., Lynch, J.G.: Self-generated validity and other effects of measurement on belief, attitude, intention, and behavior. J. Appl. Psychol. 73, 421 (1988)
Dick, A., Chakravarti, D., Biehal, G.: Memory-based inferences during consumer choice. J. Consum. Res. 17, 82–93 (1990). https://doi.org/10.1086/208539
Herr, P.M., Kardes, F.R., Kim, J.: Effects of word-of-mouth and product-attribute information on persuasion: an accessibility-diagnosticity perspective. J. Consum. Res. 17, 454–462 (1991). https://doi.org/10.1086/208570
Lynch, J.G., Marmorstein, H., Weigold, M.F.: Choices from sets including remembered brands: use of recalled attributes and prior overall evaluations. J. Consum. Res. 15, 169–184 (1988)
Broniarczyk, S.M., Alba, J.W.: The importance of the brand in brand extension. J. Mark. Res. 31, 214–228 (1994)
Kahneman, D., Tversky, A.: Prospect theory: an analysis of decision under risk. In: Handbook of the Fundamentals of Financial Decision Making, pp. 99–127. World Scientific (2012). https://doi.org/10.1142/9789814417358_0006
Maheswaran, D., Meyers-Levy, J.: The influence of message framing and issue involvement. J. Mark. Res. 27, 361–367 (1990)
Smith, G.E.: Framing in advertising and the moderating impact of consumer education. J. Advert. Res. 36, 49 (1996)
Dervin, B.: From the Mind’s Eye of the User: The Sense-Making Qualitative-Quantitative Methodology. Hampton Press (1992)
Marchionini, G.: Information Seeking in Electronic Environments. Cambridge University Press (1997)
Wilson, T.D.: On user studies and information needs. J. Doc. (1981)
Moore, P.: Information problem solving: a wider view of library skills. Contemp. Educ. Psychol. 20, 1–31 (1995). https://doi.org/10.1006/ceps.1995.1001
Kuhlthau, C.C.: Developing a model of the library search process: cognitive and affective aspects. RQ 28, 232–242 (1988)
Almourad, M.B., Bataineh, E.: Comparing the behaviour of human face capturing attention of autistic & normal developing children using eye tracking data analysis approach. In: Proceedings of the 2019 3rd International Conference on Advances in Artificial Intelligence, New York, NY, USA, pp. 221–226. Association for Computing Machinery (2019). https://doi.org/10.1145/3369114.3369122
Frutos-Pascual, M., García-Zapirain, B., Mehdi, Q.H.: Where do they look at? Analysis of gaze interaction in children while playing a puzzle game. In: 2015 Computer Games: AI, Animation, Mobile, Multimedia, Educational and Serious Games (CGAMES), pp. 103–106 (2015). https://doi.org/10.1109/CGames.2015.7272954
Syeda, U.H., et al.: Visual face scanning and emotion perception analysis between autistic and typically developing children. In: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, New York, NY, USA, pp. 844–853. Association for Computing Machinery (2017). https://doi.org/10.1145/3123024.3125618
Just, M.A., Carpenter, P.A.: A theory of reading: from eye fixations to comprehension. Psychol. Rev. 87, 329 (1980)
Rayner, K.: Eye movements in reading and information processing: 20 years of research. Psychol. Bull. 124, 372 (1998)
Land, M.F.: Eye movements and the control of actions in everyday life. Prog. Retin. Eye Res. 25, 296–324 (2006)
Carroll, J.B.: Human Cognitive Abilities: A Survey of Factor-Analytic Studies. https://doi.org/10.1017/CBO9780511571312, https://libsearch.ntut.edu.tw:3716/core/books/human-cognitive-abilities/F83D5EADF14A453F6350FF3DD39631C8. Accessed 27 May 2022
Allen, B.: Cognitive differences in end user searching of a CD-ROM index. In: Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval, New York, NY, USA, pp. 298–309. Association for Computing Machinery (1992). https://doi.org/10.1145/133160.133212
Ashcraft, M.H.: Human memory and cognition. Scott, Foresman & Co (1989)
Ekstrom, R., French, J., Dermen, D.: Kit of factor-referenced cognitive tests. Educational Testing Service (1976)
Hourcade, J.P.: Interaction design and children. Now Publishers Inc. (2008)
LEE, Y.-W.: The Effect of Augmented Reality Navigation on Children’s Learning Motivation and Information Seeking Behavior – A Case Study of the Augmented Reality Navigation Application (2019). https://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/ccd=NDG6Kt/record?r1=2&h1=0
Wurman, R.S.: Information Anxiety. New York (1989)
Plebanek, D.J., Sloutsky, V.M.: Selective attention, filtering, and the development of working memory. Dev. Sci. 22, e12727 (2019). https://doi.org/10.1111/desc.12727
Hsieh, T., Wu, K.: The Influence of Gender Difference on the Information-seeking Behaviors for the Graphical Interface of Children’s Digital Library. Universal Journal of Education
Goodway, J.D., Ozmun, J.C., Gallahue, D.L.: Understanding Motor Development: Infants, Children, Adolescents, Adults. Jones & Bartlett Learning (2019)
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Sun, JR., Wu, KC. (2023). Impacts of Information Accessibility and Diagnosticity on Children’s Visual Perception of Recommended Books. In: Kurosu, M., Hashizume, A. (eds) Human-Computer Interaction. HCII 2023. Lecture Notes in Computer Science, vol 14012. Springer, Cham. https://doi.org/10.1007/978-3-031-35599-8_9
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