People make choices all the time, and sometimes the results of choices are unexpected, and the existence of the peak-end rule can explain the counterintuition in our decision evaluation. In fact, changes in "peak" and "end" experiences affect the choices people make all the time and greatly affect the evaluation of decisions. This article summarizes the characteristics of the Peak-End Rule and provides a large number of real-life examples to explain it. Based on this, three experiments were designed to verify the correctness of the Peak-End Rule from different perspectives. Among these experiments, Experiment 2 was the most important, and all participants participated in two stages of the experiment. In the first stage, they ran 100 meters with full effort, and in the second stage, they slowed down and ran 50 meters after running 100 meters with full effort. It was recorded that all participants chose to participate in the second stage of exercise, and more people chose to complete the second stage. This conclusion is contrary to common sense because the second stage covered an additional distance of 50 meters. But this result precisely confirms the conclusion of the Peak-End Theorem, because the end of the second stage run is easier, and more participants choose to run in the second stage. Meanwhile, through in-depth analysis of the data from Experiment 3, the author believes that the impact of the "endpoint" on decision-making is greater than that of the "peak".
Published in | American Journal of Applied Psychology (Volume 13, Issue 4) |
DOI | 10.11648/j.ajap.20241304.11 |
Page(s) | 67-72 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Peak-End Rule, Peak, End Point, Counterintuitive
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APA Style
Shifei, L., Yingjie, S., Zhen, L. (2024). Experimental Verification and Further Reflection on the Peak-End Rule. American Journal of Applied Psychology, 13(4), 67-72. https://doi.org/10.11648/j.ajap.20241304.11
ACS Style
Shifei, L.; Yingjie, S.; Zhen, L. Experimental Verification and Further Reflection on the Peak-End Rule. Am. J. Appl. Psychol. 2024, 13(4), 67-72. doi: 10.11648/j.ajap.20241304.11
AMA Style
Shifei L, Yingjie S, Zhen L. Experimental Verification and Further Reflection on the Peak-End Rule. Am J Appl Psychol. 2024;13(4):67-72. doi: 10.11648/j.ajap.20241304.11
@article{10.11648/j.ajap.20241304.11, author = {Li Shifei and Sun Yingjie and Liu Zhen}, title = {Experimental Verification and Further Reflection on the Peak-End Rule }, journal = {American Journal of Applied Psychology}, volume = {13}, number = {4}, pages = {67-72}, doi = {10.11648/j.ajap.20241304.11}, url = {https://doi.org/10.11648/j.ajap.20241304.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajap.20241304.11}, abstract = {People make choices all the time, and sometimes the results of choices are unexpected, and the existence of the peak-end rule can explain the counterintuition in our decision evaluation. In fact, changes in "peak" and "end" experiences affect the choices people make all the time and greatly affect the evaluation of decisions. This article summarizes the characteristics of the Peak-End Rule and provides a large number of real-life examples to explain it. Based on this, three experiments were designed to verify the correctness of the Peak-End Rule from different perspectives. Among these experiments, Experiment 2 was the most important, and all participants participated in two stages of the experiment. In the first stage, they ran 100 meters with full effort, and in the second stage, they slowed down and ran 50 meters after running 100 meters with full effort. It was recorded that all participants chose to participate in the second stage of exercise, and more people chose to complete the second stage. This conclusion is contrary to common sense because the second stage covered an additional distance of 50 meters. But this result precisely confirms the conclusion of the Peak-End Theorem, because the end of the second stage run is easier, and more participants choose to run in the second stage. Meanwhile, through in-depth analysis of the data from Experiment 3, the author believes that the impact of the "endpoint" on decision-making is greater than that of the "peak". }, year = {2024} }
TY - JOUR T1 - Experimental Verification and Further Reflection on the Peak-End Rule AU - Li Shifei AU - Sun Yingjie AU - Liu Zhen Y1 - 2024/08/27 PY - 2024 N1 - https://doi.org/10.11648/j.ajap.20241304.11 DO - 10.11648/j.ajap.20241304.11 T2 - American Journal of Applied Psychology JF - American Journal of Applied Psychology JO - American Journal of Applied Psychology SP - 67 EP - 72 PB - Science Publishing Group SN - 2328-5672 UR - https://doi.org/10.11648/j.ajap.20241304.11 AB - People make choices all the time, and sometimes the results of choices are unexpected, and the existence of the peak-end rule can explain the counterintuition in our decision evaluation. In fact, changes in "peak" and "end" experiences affect the choices people make all the time and greatly affect the evaluation of decisions. This article summarizes the characteristics of the Peak-End Rule and provides a large number of real-life examples to explain it. Based on this, three experiments were designed to verify the correctness of the Peak-End Rule from different perspectives. Among these experiments, Experiment 2 was the most important, and all participants participated in two stages of the experiment. In the first stage, they ran 100 meters with full effort, and in the second stage, they slowed down and ran 50 meters after running 100 meters with full effort. It was recorded that all participants chose to participate in the second stage of exercise, and more people chose to complete the second stage. This conclusion is contrary to common sense because the second stage covered an additional distance of 50 meters. But this result precisely confirms the conclusion of the Peak-End Theorem, because the end of the second stage run is easier, and more participants choose to run in the second stage. Meanwhile, through in-depth analysis of the data from Experiment 3, the author believes that the impact of the "endpoint" on decision-making is greater than that of the "peak". VL - 13 IS - 4 ER -