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Volume 25, Issue 4 (Winter 2024)
Advances in Cognitive Sciences 2024, 25(4): 99-109 |
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Ethics code: IR.IUMS.REC.1398.1201
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Tajrishi H, Zabbah S, Hatami J, Ebrahimpour R. Perceptual Decision-Making in Realistic Situations with the Integration of Visual Evidence and Social Cues: The Diffusion Model as an Analytical Tool. Advances in Cognitive Sciences 2024; 25 (4) :99-109
URL: http://icssjournal.ir/article-1-1632-en.html
URL: http://icssjournal.ir/article-1-1632-en.html
1- Cognitive Science Modeling, Shahid Beheshti University, Tehran, Iran _ Institute for Cognitive Science Studies Pardis Tehran
2- School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), P.O. Box: 19395-5746, Tehran, Iran. Wellcome Centre for Human Neuroimaging, University College London, WC1N 3BG, London, UK. Max Planck UCL Centre for Computational Psychiatry and Aging Research, University College London, WC1N 3BG, London, UK
3- Psychology Department, Faculty of Psychology, University of Tehran, Tehran, Iran - Institute for Cognitive Science Studies Pardis Tehran
4- Center for Cognitive Science, Institute for Convergence Science & Technology, Sharif University of Technology, Tehran 14588-89694, Iran.
2- School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), P.O. Box: 19395-5746, Tehran, Iran. Wellcome Centre for Human Neuroimaging, University College London, WC1N 3BG, London, UK. Max Planck UCL Centre for Computational Psychiatry and Aging Research, University College London, WC1N 3BG, London, UK
3- Psychology Department, Faculty of Psychology, University of Tehran, Tehran, Iran - Institute for Cognitive Science Studies Pardis Tehran
4- Center for Cognitive Science, Institute for Convergence Science & Technology, Sharif University of Technology, Tehran 14588-89694, Iran.
Abstract: (234 Views)
Abstract:
Introduction:
Decision-making in realistic situations is typically based on a combination of information from various sources. The aim of this study is to explore the influences of social information on decision-making in the presence of sensory and social cues and understand the underlying mechanisms of these effects.
Methods:
In the current research, an experimental approach was designed using psychophysics methods. The study used random dot motion for sensory evidence and graphic cues for social information, reducing normative social influences and emphasizing informational ones. The analysis of behavioral data was carried out using statistical tests, and a generalized drift diffusion model (GDDM) was used to examine the decision-making process.
Results:
The results indicate that social information significantly enhances the accuracy of participants' decision-making, even when participants receive information from partners with lower accuracy. Furthermore, a robust correlation exists between partner accuracy and participant efficiency improvement. Higher partner accuracy significantly boosts participant choice accuracy, while partner's confidence does not notably affect this enhancement. Our analysis examined diffusion model parameters: decision threshold, starting point, and drift rate. Using data from experiments with and without social information, we found that social cues significantly impact all these decision parameters, enhancing overall accuracy. We further revealed that accuracy differences between high and low-accuracy partners are mainly influenced by late-stage information integration (starting point).
Conclusion:
These findings provide added value to decision-making-related research, human behavior, and decision-making quality improvement, aiding our better understanding of the influence of social information on the decision-making process of individuals.
Introduction:
Decision-making in realistic situations is typically based on a combination of information from various sources. The aim of this study is to explore the influences of social information on decision-making in the presence of sensory and social cues and understand the underlying mechanisms of these effects.
Methods:
In the current research, an experimental approach was designed using psychophysics methods. The study used random dot motion for sensory evidence and graphic cues for social information, reducing normative social influences and emphasizing informational ones. The analysis of behavioral data was carried out using statistical tests, and a generalized drift diffusion model (GDDM) was used to examine the decision-making process.
Results:
The results indicate that social information significantly enhances the accuracy of participants' decision-making, even when participants receive information from partners with lower accuracy. Furthermore, a robust correlation exists between partner accuracy and participant efficiency improvement. Higher partner accuracy significantly boosts participant choice accuracy, while partner's confidence does not notably affect this enhancement. Our analysis examined diffusion model parameters: decision threshold, starting point, and drift rate. Using data from experiments with and without social information, we found that social cues significantly impact all these decision parameters, enhancing overall accuracy. We further revealed that accuracy differences between high and low-accuracy partners are mainly influenced by late-stage information integration (starting point).
Conclusion:
These findings provide added value to decision-making-related research, human behavior, and decision-making quality improvement, aiding our better understanding of the influence of social information on the decision-making process of individuals.
Type of Study: Research |
Received: 2023/11/7 | Accepted: 2024/04/8 | Published: 2024/04/22
Received: 2023/11/7 | Accepted: 2024/04/8 | Published: 2024/04/22
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