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Reliability of Consumer Choices for Conflicting Price Promotions

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 953))

Abstract

Decisional conflict arises when all options of a multiple dimensional decisions task has equal or close to equal expected utility, causing additional mental effort. In this study, we investigated the potential of capturing decisional conflict related mental effort in a realistic complex decision-making task. In a binary choice paradigm, participants made decisions related to electricity supply plans. The study presented in each trial a choice with two different utility plans where variables related to fixed rate or time-of-use plans with peak-rate value and duration were compared against each other. We monitored the anterior prefrontal cortex of participants during binary decision-making, to assess the level of conflict using functional near infrared spectroscopy (fNIRS). Results indicate that fNIRS is able to measure the difference between conflict and no conflict decision making processes consistent with the neural efficiency hypothesis.

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References

  1. Tremblay, S., Sharika, K.M., Platt, M.L.: Social decision-making and the brain: a comparative perspective. Trends Cogn. Sci. 21(4), 265–276 (2017)

    Article  Google Scholar 

  2. Yoon, C., et al.: Decision neuroscience and consumer decision making. Mark. Lett. 23(2), 473–485 (2012)

    Article  Google Scholar 

  3. Venkatraman, V., Payne, J.W., Bettman, J.R., Luce, M.F., Huettel, S.A.: Separate neural mechanisms underlie choices and strategic preferences in risky decision making. Neuron 62(4), 593–602 (2009)

    Article  Google Scholar 

  4. Rouault, M., Drugowitsch, J., Koechlin, E.: Prefrontal mechanisms combining rewards and beliefs in human decision-making. Nat. Commun. 10(1), 301 (2019)

    Article  Google Scholar 

  5. Tom, S.M., Fox, C.R., Trepel, C., Poldrack, R.A.: The neural basis of loss aversion in decision making under risk. Science 315(5811), 515–518 (2007)

    Article  Google Scholar 

  6. Barkley-Levenson, E.E., Van Leijenhorst, L., Galvan, A.: Behavioral and neural correlates of loss aversion and risk avoidance in adolescents and adults. Dev. Cogn. Neurosci. 3, 72–83 (2013)

    Article  Google Scholar 

  7. Harrison, Y., Horne, J.A.: The impact of sleep deprivation on decision making. A review. J. Exp. Psychol. Appl. 6(3), 236–249 (2000)

    Article  Google Scholar 

  8. Xue, G., Lu, Z., Levin, I.P., Weller, J.A., Li, X., Bechara, A.: Functional dissociations of risk and reward processing in the medial prefrontal cortex. Cereb. Cortex 19(5), 1019–1027 (2009)

    Article  Google Scholar 

  9. Di Domenico, S.I., Rodrigo, A.H., Ayaz, H., Fournier, M.A., Ruocco, A.C.: Decision-making conflict and the neural efficiency hypothesis of intelligence: a functional near-infrared spectroscopy investigation. Neuroimage 109, 307–317 (2015)

    Article  Google Scholar 

  10. Franceschini, M.A., Boas, D.A.: Noninvasive measurement of neuronal activity with near-infrared optical imaging. NeuroImage 21(1), 372–386 (2004)

    Article  Google Scholar 

  11. Izzetoglu, M., Izzetoglu, K., Bunce, S., Ayaz, H., Devaraj, A., Onaral, B., Pourezzaei, K.: Functional near-infrared neuroimaging. IEEE Trans. Neural Syst. Rehabil. Eng. 12(2), 153–159 (2005)

    Article  Google Scholar 

  12. Shimokawa, T., Misawa, T., Suzuki, K.: Neural representation of preference relationships. NeuroReport 19(16), 1557–1561 (2008)

    Article  Google Scholar 

  13. Knutson, B., Rick, S., Wimmer, G.E., Prelec, D., Loewenstein, G.: Neural predictors of purchases. Neuron 53(1), 147–156 (2007)

    Article  Google Scholar 

  14. Plassmann, H., Kenning, P., Deppe, M., Kugel, H., Schwindt, W.: How choice ambiguity modulates activity in brain areas representing brand preference: evidence from consumer neuroscience. J. Consum. Behav. 7(4–5), 360–367 (2008)

    Article  Google Scholar 

  15. Deppe, M., Schwindt, W., Kugel, H., Plassmann, H., Kenning, P.: Nonlinear responses within the medial prefrontal cortex reveal when specific implicit information influences economic decision making. J. Neuroimaging 15(2), 171–182 (2005)

    Article  Google Scholar 

  16. Gonzalez, C., Dana, J., Koshino, H., Just, M.: The framing effect and risky decisions: examining cognitive functions with fMRI. J. Econ. Psychol. 26(1), 1–20 (2005)

    Article  Google Scholar 

  17. Fleming, S.M., Huijgen, J., Dolan, R.J.: Prefrontal contributions to metacognition in perceptual decision making. J. Neurosci. 32(18), 6117–6125 (2012)

    Article  Google Scholar 

  18. Bang, D., Fleming, S.M.: Distinct encoding of decision confidence in human medial prefrontal cortex. Proc. Natl. Acad. Sci. 115(23), 6082–6087 (2018)

    Article  Google Scholar 

  19. Bechara, A., Damasio, A.R.: The somatic marker hypothesis: a neural theory of economic decision. Games Econ. Behav. 52(2), 336–372 (2005)

    Article  Google Scholar 

  20. Ayaz, H., Izzetoglu, M., Izzetoglu, K., Onaral, B.: The use of functional near-infrared spectroscopy in neuroergonomics. In: Neuroergonomics, pp. 17–25. Academic Press (2019)

    Google Scholar 

  21. Ayaz, H., Shewokis, P.A., Curtin, A., Izzetoglu, M., Izzetoglu, K., Onaral, B.: Using MazeSuite and functional near infrared spectroscopy to study learning in spatial navigation. J. Vis. Exp. 56, 3443 (2011)

    Google Scholar 

  22. Curtin, A., Ayaz, H.: The age of neuroergonomics: towards ubiquitous and continuous measurement of brain function with fNIRS. Jpn. Psycholo. Res. 60(4), 374–386 (2018)

    Article  Google Scholar 

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Correspondence to Amanda Sargent .

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Sargent, A. et al. (2020). Reliability of Consumer Choices for Conflicting Price Promotions. In: Ayaz, H. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2019. Advances in Intelligent Systems and Computing, vol 953. Springer, Cham. https://doi.org/10.1007/978-3-030-20473-0_11

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