Attraction effect in crowded decision spaces : exploring the impact of decoys in choices among numerous options
Marini, M., Ansani, A., Cecere, D., & Paglieri, F. (2024). Attraction effect in crowded decision spaces : exploring the impact of decoys in choices among numerous options. Journal of Cognitive Psychology, Early online. https://doi.org/10.1080/20445911.2024.2436363
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Journal of Cognitive PsychologyDate
2024Copyright
© 2024 the Authors
Human choices are context-dependent, and options evaluation is biased by the quality and quantity of available alternatives. In the attraction effect, dominated decoys have proven effective in shifting preferences in numerous experiments, yet its relevance in real-life choices remains disputed. Part of the problem lies in the differences between laboratory settings and realistic scenarios: in the lab, participants are tested on ternary choices; in real life, consumers face choices among many options, and interactions with other context effects are frequent. We present two experiments investigating how these factors modulate the attraction effect: we manipulate the number of decoys (study1), and the number of available options (study2). Findings suggest that: (i) the attraction effect remains significant in larger sets; (ii) two decoys are more effective than one, but (iii) adding more undermines the effect; (iv) compromise options have a dampening influence on decoys, making them ineffective at targeting the intermediate option.
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This research was supported by the PRIN 2022 PNRR research project “B-Hu-Well – Boosting human wellbeing with behavioural insights” (PRIN 2022 PNRR, P202227LNS), funded by the European Union, Next Generation EU, Mission 4, Component 2, CUP B53D23030060001. This research was also supported by the PRIN 2022 research project “COOPDEV – Cooperation nudges for sustainable development: leveraging behavioural insights to encourage cooperative behaviour in environmental social dilemmas” (PRIN 2022, 2022T43ACR), funded by the European Union, Next Generation EU, Mission 4, Component 2, CUP B53D23014840006. ...License
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