Abstract
Because of the influence of information presentation and individual cognitive traits, People’s cognitive decision-making behaviors are different, and the current information interface design methods are not targeted, can not well meet the information needs of different users. In this environment, it is of great practical significance to study individual’s cognitive decision-making behavior and explore its difference for optimizing interface information design and satisfying different users’ information needs in the decision-making process. In recent years, the relationship between need for cognitive (NFC), a special cognitive trait, and behavior has attracted more and more attention from scholars in other fields. Need for Cognition (NFC) describe the tendency of individuals to engage in and enjoy certain cognitive activities that require effort and are often used to predict higher-order cognition, such as attitude formation and decision-making. Taking the decision-making scenario of waiting position for rail transit as an example, this study examines the effects of heuristic cues on decision-making behavior of users with different Need for Cognition (NFC), to verify the feasibility of using heuristic clues to design interface information to help improve the decision-making efficiency of users with low Need for Cognition (NFC). The findings are as follows: (1) the users with higher need for Cognition (NFC)s take longer time to make decisions under the four kinds of information interfaces, and the correct rate of decision-making results is higher. (2) the users with low need for Cognition (NFC) have longer decision-making time and lower correct rate in the information interface without heuristic clues, and have shorter decision-making time and higher correct rate in the information interface with heuristic clues. The level of Need for Cognition (NFC) has an effect on the efficiency of users’ cognitive decision-making, and using heuristic clues to design interface information can improve the decision-making efficiency of users with low Need for Cognition (NFC).
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References
Song, L., Li, J.: The development from data quality to information quality. Inf. Sci. 28(2), 182–186 (2010)
Cohen, A.R., Stotland, E., Wolfe, D.M.: An experimental investigation of need for cognition. J. Abnorm. Soc. Psychol. 1(2), 291–294 (1995)
Fleischhauer, M., Miller, R., Enge, S., et al.: Need for cognition relates to low-level visual performance in a metacontrast masking paradigm. J. Res. Pers. 48(Complete), 45–50 (2014)
Cacioppo, J.T., Petty, R.E.: The need for cognition. J. Pers. Soc. Psychol. 42, 116–131 (1982)
Chaiken, S.: The heuristic model of persuasion. In: Zanna, M.P., Olson, J.M., Herman, C.P. (eds.) Socialin Fluence: The Ontario Symposium, vol. 5, pp. 3–39. Erlbaum, Hillsdale (1987)
Chen, Y., Wang, Y., Zhong, J.: The moderate effect of cognitive needs on the options time and decision aversion for consumers. Chin. J. Ergon. 18(3), 41–44 (2012)
Shneiderman, B.: The eyes have it: a task by data type taxonomy for information visualizations. In: Proceedings of the IEEE Symposium on Visual Languages, 3–6 September 1996, pp. 336–343. IEEE Computer Society, Washington (1996)
Keim, D.A.: Visual exploration of large data sets. Commun. ACM 44(8), 38–44 (2001)
Williams, G.: Women and Work. Nicholson & Watson, London (1945)
Velez, M.C., Silver, D., Tremaine, M.: Understanding visualization through spatial ability differences. In: Proceedings of Visualization, pp. 511–518 (2005)
Turner, M.L., Engle, R.W.: Is working memory capacity task dependent? J. Mem. Lang. 28(2), 127–154 (1989)
Conati, C., Maclaren, H.: Exploring the role of individual differences in information visualization. In: Proceedings of the Working Conference on Advanced Visual Interfaces (AVI 2008), pp. 199–207. ACM, New York (2008)
Toker D., Conati C., Steichen B., Carenini G.: Individual user characteristics and information visualization: connecting the dots through eye tracking. In: Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, (CHI 2013) (2013, to appear)
Kwong, Y., Shi, J., Cai, Y.: Revision of the cognitive needs scale of college students. Chin. Ment. Health J. 19(1), 57–60 (2005)
Liu, X., Qu, Y., Wang, W., Wu, J.: Analysis of passenger waiting position selection behavior and logit modeling on urban rail platforms. Shandong Sci. 33(167.06), 81–88 (2020)
Shen, J.: Analysis on vehicle capacity and congestion. Urban Express Rail Transit 20(5), 14–18 (2007)
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Chen, X., Zhu, Y., Xue, C. (2021). Research on Information Design Matching with User’s Need for Cognitive. In: Stephanidis, C., et al. HCI International 2021 - Late Breaking Papers: Design and User Experience. HCII 2021. Lecture Notes in Computer Science(), vol 13094. Springer, Cham. https://doi.org/10.1007/978-3-030-90238-4_1
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DOI: https://doi.org/10.1007/978-3-030-90238-4_1
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