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Development of a Scale to Measure Decision-Making Tendency in Human-Product Interactions

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[ ] With Design: Reinventing Design Modes (IASDR 2021)

Abstract

Design consideration for tailoring users’ decision-making experiences is viewed as an important factor towards more highly user-centred and personalised human-product interactions (HPIs). In this paper, we aim to establish a foundation for a new design approach by presenting the set-up of the development and validation of a new measurement scale on users’ decision-making tendency, maximising and satisfying. From behavioural science, we extend the recent discussion on these individual differences between maximisers who tend to expect the greatest amount of benefit from every daily opportunity and satisfiers who tend to feel happy with their choices as long as they think they are good enough. We developed an initial pool of the decision-making tendency measurements based on previous literature and a focus group interview. To modify the initial pool of measurements, we conducted (1) random probes with three researchers and (2) standard scaling procedures with eight external judges. Furthermore, we tested the reliability of the scale by calculating Cronbach alpha and test-retest reliability. We expect that these findings provide a grounding for future design research and practices in terms of implementing users’ decision-making tendency for personalised HPIs.

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References

  • Amershi, S., et al.: Guidelines for human-AI interaction. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pp. 1–13 (2019)

    Google Scholar 

  • Cheeck, N.N., Schwartz, B.: On the meaning and measurement of maximisation. Judgm. Decis. Mak. 11(2), 126–146 (2016)

    Article  Google Scholar 

  • Dalal, D.K., Diab, D.L., Zhu, X., Hwang, T.: Understanding the construct of maximising tendency: a theoretical and empirical evaluation. J. Behav. Decis. Mak. 28(5), 437–450 (2015)

    Article  Google Scholar 

  • Diab, D.L., Gillespie, M.A., Highhouse, S.: Are maximisers really unhappy? the measurement of maximising tendency. Judgm. Decis. Mak. 3(5), 364–370 (2008)

    Article  Google Scholar 

  • Jin, Y., et al.: MusicBot: Evaluating critiquing-based music recommenders with conversational interaction. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp. 951–960 (2019)

    Google Scholar 

  • Jugovac, M., et al.: Investigating the decision-making behavior of maximisers and satisficers in the presence of recommendations. In: Proceedings of the 26th Conference on User Modeling, Adaptation and Personalisation, pp. 279–283 (2018)

    Google Scholar 

  • Kamiya, A.S.M., Zeelenberg, M., da Costa Hernandez, J.M.: Regulating regret via decreasing goal level: comparing maximisers and satisficers. Personality Individ. Differ. 178, 110870 (2021)

    Article  Google Scholar 

  • Karimi, S., Holland, C.P., Papamichail, K.N.: The impact of consumer archetypes on online purchase decision-making processes and outcomes: a behavioural process perspective. J. Bus. Res. 91, 71–82 (2018)

    Article  Google Scholar 

  • Karimi, S., Liu, Y.L.: The differential impact of “mood” on consumers’ decisions, a case of mobile payment adoption. Comput. Hum. Behav. 102, 132–143 (2020)

    Article  Google Scholar 

  • Lai, L.: Maximising without difficulty: a modified maximising scale and its correlates. Judgm. Decis. Mak. 5(3), 164–175 (2010)

    Article  Google Scholar 

  • Mikkelson, A.C., Pauley, P.M.: Maximising relationship possibilities: relational maximisation in romantic relationships. J. Soc. Psychol. 153(4), 467–485 (2013)

    Article  Google Scholar 

  • Misuraca, R., Faraci, P., Gangemi, A., Carmeci, F.A., Miceli, S.: The decision-making tendency inventory: a new measure to assess maximising, satisficing, and minimising. Personality Individ. Differ. 85, 111–116 (2015)

    Article  Google Scholar 

  • Misuraca, R., Fasolo, B.: Maximising versus satisficing in the digital age: disjoint scales and the case for “construct consensus.” Personality Individ. Differ. 121, 152–160 (2018)

    Article  Google Scholar 

  • Nenkov, G.Y., Morrin, M., Schwartz, B., Ward, A., Hulland, J.: A short form of the maximisation scale: factor structure, reliability and validity studies. Judgm. Decis. Mak. 3(5), 371–388 (2008)

    Article  Google Scholar 

  • Polman, E.: Why are maximisers less happy than satisficers? because they maximise positive and negative outcomes. J. Behav. Decis. Mak. 23(2), 179–190 (2010)

    Article  Google Scholar 

  • Richardson, C.M., Ye, H.J., Ege, E., Suh, H., Rice, K.G.: Refining the measurement of maximisation: gender invariance and relation to psychological well-being. Personality Individ. Differ. 70, 229–234 (2014)

    Article  Google Scholar 

  • Schuman, H.: The random probe: a technique for evaluating the validity of closed questions. Am. Sociol. Rev. 31(2), 218 (1966). https://doi.org/10.2307/2090907

    Article  Google Scholar 

  • Schwartz, B., Ward, A., Monterosso, J., Lyubomirsky, S., White, K., Lehman, D.R.: Maximising versus satisficing: happiness is a matter of choice. J. Pers. Soc. Psychol. 83(5), 1178–1197 (2002)

    Article  Google Scholar 

  • Simon, H.A.: A behavioral model of rational choice. Q. J. Econ. 69(1), 99–118 (1955)

    Article  Google Scholar 

  • Simon, H.A.: Rational choice and the structure of the environment. Psychol. Rev. 63(2), 129–138 (1956)

    Article  Google Scholar 

  • Simon, H.A.: Models of Man, Social and Rational Mathematical Essays on Rational Human Behavior in Society Setting. Wiley, New York, NY (1957)

    Google Scholar 

  • Turner, B.R., Rim, H.B., Betz, N.E., Nygren, T.E.: The maximisation inventory. Judgm. Decis. Mak. 7, 48–60 (2012)

    Article  Google Scholar 

  • Verganti, R., Vendraminelli, L., Iansiti, M.: Innovation and design in the age of artificial intelligence. J. Prod. Innov. Manag. 37(3), 212–227 (2020)

    Article  Google Scholar 

  • Weinhardt, J.M., Morse, B.J., Chimeli, J., Fisher, J.: An item response theory and factor analytic examination of two prominent maximising tendency scales. Judgm. Decis. Mak. 7(5), 644–658 (2012)

    Article  Google Scholar 

  • Yin, R.K.: Case Study Research and Applications: Design and methods. Sage Publications (2017)

    Google Scholar 

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Acknowledgments

This work was supported by the Ministry of Education of the Republic of Korea, the National Research Foundation of Korea (NRF-2020S1A5A2A03045893), and Cornell Center for Social Sciences.

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Correspondence to JungKyoon Yoon .

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Shin, Y., Kim, C., Yoon, J. (2022). Development of a Scale to Measure Decision-Making Tendency in Human-Product Interactions. In: Bruyns, G., Wei, H. (eds) [ ] With Design: Reinventing Design Modes. IASDR 2021. Springer, Singapore. https://doi.org/10.1007/978-981-19-4472-7_11

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