People sometimes persistently pursue hard-to-get targets. Why people pursue such targets is unclear. Here, we hypothesized that choice perseverance, which is the tendency to repeat the same choice independent of the obtained outcomes, leads individuals to repeatedly choose a hard-to-get target, which consequently increases their preference for the target. To investigate this hypothesis, we conducted an online experiment involving an avatar choice task in which the participants repeatedly selected one avatar, and the selected avatar expressed their valence reactions through facial expressions and voice. We defined "hard-to-get" and "easy-to-get" avatars by manipulating the outcome probability such that the hard-to-get avatars rarely provided a positive reaction when selected, while the easy-to-get avatars frequently did. We found that some participants repeatedly selected hard-to-get avatars (Pursuit group). Based on a simulation, we found that higher choice perseverance accounted for the pursuit of hard-to-get avatars and that the Pursuit group had significantly higher choice perseverance than the No-pursuit group. Model fitting to the choice data also supported that choice perseverance can account for the pursuit of hard-to-get avatars in the Pursuit group. Moreover, we found that although baseline attractiveness was comparable among all avatars used in the choice task, the attractiveness of the hard-to-get avatars was significantly increased only in the Pursuit group. Taken together, we conclude that people with high choice perseverance pursue hard-to-get targets, rendering such targets more attractive. The tolerance for negative outcomes might be an important factor for succeeding in our lives but sometimes triggers problematic behavior, such as stalking. The present findings may contribute to understanding the psychological mechanisms of passion and perseverance for one's long-term goals, which are more general than the romantic context imitated in avatar choice.
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http://dx.doi.org/10.3389/fpsyg.2022.924578 | DOI Listing |
Brain Res
January 2025
Department of Computing Science, University of Alberta Edmonton Alberta Canada; Alberta Machine Intelligence Institute Edmonton Alberta Canada; Canada Institute for Advanced Research (CIFAR) AI Chair, Canada.
Humans are excellent at modifying our behaviour depending on context. For example, humans will change how they explore when losses are possible compared to when they are not possible. However, it remains unclear what specific cognitive and neural processes are modulated when exploring in different contexts.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA.
Categorization is an essential task for sensory perception. Individuals learn category labels using a variety of strategies to ensure that sensory signals, such as sounds or images, can be assigned to proper categories. Categories are often learned on the basis of extreme examples, and the boundary between categories can differ among individuals.
View Article and Find Full Text PDFCategorization is an essential task for sensory perception. Individuals learn category labels using a variety of strategies to ensure that sensory signals, such as sounds or images, can be assigned to proper categories. Categories are often learned on the basis of extreme examples, and the boundary between categories can differ among individuals.
View Article and Find Full Text PDFHeliyon
November 2024
Ethiopian Institute of Architecture, Building Construction and City Development, Department of Urban and Regional Planning, Addis Ababa University, Ethiopia.
Informal settlements in developing countries' cities are becoming more and more widespread. The city of Burayu is no exception to this trend. To address the challenges involved, it is important to understand the reasons for the prevalence and perseverance of informal settlement.
View Article and Find Full Text PDFSequential decision-making, where choices are made one after the other, is an important aspect of our daily lives. For example, when searching for a job, an apartment, or deciding when to buy or sell a stock, people often have to make decisions without knowing what future opportunities might arise. These situations, which are known as optimal stopping problems, involve a risk associated with the decision to either stop or continue searching.
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