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学者姓名：王益文
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Reducing the "intention-behavior gap" in pro-environmental purchasing decisions is crucial for environmental protection. This study aimed to explore how natural sounds influence the "intention-behavior gap" in proenvironmental purchasing decisions by employing a laboratory experiment focused on physiological responses. Specifically, it investigated the effects of natural sounds (e.g., birdsong) and unnatural sounds (e.g., factory noise) on individuals with high levels of environmental movement activism, focusing on their proenvironmental purchasing decisions and physiological attention mechanisms. The results showed that compared to unnatural sounds, individuals with high environmental movement activism significantly increased their green product purchase rates when exposed to natural sounds. Compared to unnatural sounds, they exhibited lower heart rates and higher beta band activity in the right prefrontal cortex when viewing green product information under natural sounds. Additionally, the difference in heart rate between natural and unnatural sounds, significantly predicted the difference in green products purchase rate. Within the environmental psychology framework, the findings suggest a novel connection between Attention Restoration Theory and the evolutionary-constructivist perspective, demonstrating that natural sounds enhance top-down attention toward green products in individuals with high levels of environmental movement activism. This effect may relate to a reduction in the "intention-behavior gap." This study provides valuable insights into biophilic design principles for designing and testing environmental settings that promote pro-environmental purchasing decisions through natural sounds.
Keyword ：
beta band beta band Environmental movement activism Environmental movement activism Heart rate Heart rate Natural sounds Natural sounds Pro-environmental purchasing decisions Pro-environmental purchasing decisions
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| GB/T 7714 | Wang, Yiwen , Liang, Geying , Lu, Runping . Following my heart: Natural sounds reduce the "intention-behavior gap" in pro-environmental purchasing decisions and enhance top-down physiological attention mechanisms [J]. | JOURNAL OF ENVIRONMENTAL PSYCHOLOGY , 2025 , 103 . |
| MLA | Wang, Yiwen 等. "Following my heart: Natural sounds reduce the "intention-behavior gap" in pro-environmental purchasing decisions and enhance top-down physiological attention mechanisms" . | JOURNAL OF ENVIRONMENTAL PSYCHOLOGY 103 (2025) . |
| APA | Wang, Yiwen , Liang, Geying , Lu, Runping . Following my heart: Natural sounds reduce the "intention-behavior gap" in pro-environmental purchasing decisions and enhance top-down physiological attention mechanisms . | JOURNAL OF ENVIRONMENTAL PSYCHOLOGY , 2025 , 103 . |
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Algorithm-based decision support systems are increasingly employed across various decision environments. This article investigates how algorithmic support influences the human decision-making process from a neuro-information systems (neuro-IS) perspective. The goal of this study is twofold: first, to elucidate the cognitive mechanisms behind the adoption of algorithmic advice, and second, to draw managerial insights from these cognitive mechanisms. Utilizing electroencephalography to measure human brain activity during decision-making with and without algorithmic support, the study finds that the presence of algorithmic support significantly influences a series of decision-making processes. Specifically, it impacts information conflict processing (observed in beta-band activity at the early stage of decision-making), decision-making itself (observed in theta-band activity at the late stage of decision-making), and reward prediction error processing (observed in theta-band activity at the outcome evaluation stage). Furthermore, there is a significant correlation between the changes in subjects' neural activity due to the introduction of algorithmic support and their levels of compliance with the algorithmic advice during decision-making. Additionally, the results show that neural measures outperform self-reported measures in explaining and predicting algorithm compliance. This study highlights the roles of cognitive and emotional factors in shaping algorithm compliance and yields practical implications for designing and promoting the usage of algorithmic support to achieve higher compliance levels. Overall, by observing the relationship between neural processes and behavioral changes, this study leverages the complementary value of neurophysiological methods to offer new managerial insights into the design of IS, thereby contributing to the development of the neuro-IS discipline.
Keyword ：
Algorithm compliance Algorithm compliance Decision-making Decision-making Decision support Decision support Electroencephalography (EEG) Electroencephalography (EEG) Neuro-information systems Neuro-information systems
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| GB/T 7714 | Wang, Yiwen , Xu, Min , Zhao, Lin . Exploring the Cognitive Mechanisms Behind the Adoption of Algorithmic Advice [J]. | BUSINESS & INFORMATION SYSTEMS ENGINEERING , 2025 . |
| MLA | Wang, Yiwen 等. "Exploring the Cognitive Mechanisms Behind the Adoption of Algorithmic Advice" . | BUSINESS & INFORMATION SYSTEMS ENGINEERING (2025) . |
| APA | Wang, Yiwen , Xu, Min , Zhao, Lin . Exploring the Cognitive Mechanisms Behind the Adoption of Algorithmic Advice . | BUSINESS & INFORMATION SYSTEMS ENGINEERING , 2025 . |
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Uncertain financial and economic conditions are obstacles to achieving sustainable consumer confidence due to their influence on saving habits. Currently, the role of consumer confidence in emerging economies' financial systems and environments is undetermined. While investments to improve energy structure and environment-related technologies are increasing, the effect of consumer confidence remains unreported in the literature. Therefore, we investigate the nexus of the environment, energy structure, consumer confidence, and environment-related technologies in this work. Results are estimated using the methods of cross-sectional dependency (CD), "cross-sectionally augmented Im-Pesaran-Shin (CIPS), covariate-augmented Dickey-Fuller (CADF) unit root, co-integration, cross-sectional autoregressive distributed lag (CS-ARDL), augmented mean group (AMG), and common correlated effect mean group (CCEMG)" estimations. Data from, "Brazil, Russian Federation, India, China, and South Africa (BRICS)" economies between 1992 and 2020 are employed for the analysis. The findings reveal that consumer confidence (CC) supports the reduction of ecological footprints. Similarly, energy structure (ES) and environment-related technologies (ERTs) are critical for reducing environmental deterioration in BRICS economies. Thus, the findings have clear policy implications that support policy consistency to build consumer confidence and capitalize on the favorable effects of renewable energy (RE) and ERTs.
Keyword ：
Consumer confidence Consumer confidence Ecological footprint Ecological footprint Energy structure Energy structure Environment-related technologies Environment-related technologies
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| GB/T 7714 | Hussain, Muzzammil , Wang, Yiwen , Binsaeed, Rima H. . Consumer confidence and climate action in the BRICS: The role of energy structure and technology to control ecological footprints for sustainable environment [J]. | ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY , 2025 . |
| MLA | Hussain, Muzzammil 等. "Consumer confidence and climate action in the BRICS: The role of energy structure and technology to control ecological footprints for sustainable environment" . | ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY (2025) . |
| APA | Hussain, Muzzammil , Wang, Yiwen , Binsaeed, Rima H. . Consumer confidence and climate action in the BRICS: The role of energy structure and technology to control ecological footprints for sustainable environment . | ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY , 2025 . |
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Cooperation and competition in social interaction are important to social development. There are many studies examining the neural mechanism underlying these behaviors; however, little is known about the potential role of payoff norms in social interactions. This study introduced two distinct payoff norms: zero-sum (ZS) and non-zerosum (NZS). In the ZS group, only the player with the highest total score would receive a reward; while in the NZS group, rewards were determined by the combined total score of both players, and individual rewards were prorated according to each player's contribution to the total score. Electroencephalography was used to examine individuals' neural responses during the Chicken Game in these different groups. The behavioral findings revealed a higher rate of cooperation in the NZS group compared to the ZS group. Aggressive behaviors from opponents elicited larger feedback-related negativity (FRN) and lower P300 amplitudes in both groups. Notably, larger FRN and smaller P300 amplitudes were elicited by participants' aggressive behaviors compared to their cooperative behaviors in the ZS group, whereas larger P300 amplitudes were elicited by aggressive behaviors compared to cooperative behaviors in the NZS group. Additionally, a greater theta event-related synchronization (ERS) was observed solely when participants exhibited aggression in the NZS group. The type of group moderated the association between posterior theta-ERS and cooperative rates. Specifically, theta-ERS was negatively associated with cooperative rates in the NZS group, whereas a reversed association was found in the ZS group. These findings provide valuable insights into the neurobiological foundations of cooperation under different economic payoff norms.
Keyword ：
Chicken Game Chicken Game FRN FRN Non-zero-sum Non-zero-sum P300 P300 theta theta Zero-sum Zero-sum
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| GB/T 7714 | Peng, Ming , Cai, Honghui , Shi, Yuanyuan et al. Neural markers of human aggression and cooperation are influenced by zero-sum or non-zero-sum groups [J]. | INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY , 2025 , 208 . |
| MLA | Peng, Ming et al. "Neural markers of human aggression and cooperation are influenced by zero-sum or non-zero-sum groups" . | INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY 208 (2025) . |
| APA | Peng, Ming , Cai, Honghui , Shi, Yuanyuan , Liu, Sisi , Cai, Mengfei , Li, Xu et al. Neural markers of human aggression and cooperation are influenced by zero-sum or non-zero-sum groups . | INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY , 2025 , 208 . |
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Brain imaging reports often contain complex medical jargon that is difficult for patients without a medical background to understand. In this study, we examined the ability of four popular large language models (LLMs; ChatGPT-3.5, ChatGPT-4, Google Bard, and Microsoft Bing) to simplify brain magnetic resonance imaging (MRI) reports for patients and compared physicians’ and patients’ satisfaction with the simplified reports generated by various types of LLMs. Specifically, 24 physicians and 40 participants without a medical background evaluated simplified reports generated from a full MRI report by each of the four LLMs, respectively. The results showed that physicians were satisfied with the comprehensibility, factual correctness, and completeness of the four versions of the simplified reports, but were neutral regarding the potential harm and overall quality of the simplified reports. They were also less likely to send the simplified reports to patients. Additionally, physicians were more satisfied with the reports generated by Microsoft Bing and ChatGPT-4 compared to those generated by the other two LLMs, in terms of potential harm, overall quality, and likelihood of sending the report to patients. Participants, on the other hand, reported that they easily understood the content of the simplified reports, drew correct conclusions, and expressed a high willingness to receive the simplified reports. There was no significant difference in participants’ ratings of the four simplified reports. These findings suggest great potential for using AI models to improve patient-centered care in brain imaging and other medical fields. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Keyword ：
Functional neuroimaging Functional neuroimaging
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| GB/T 7714 | Xu, Min , Wang, Yiwen . Assessing the Feasibility of Using AI Models to Simplify Brain Imaging Reports for Patients: A Comparative Analysis of Four Large Language Models [C] . 2025 : 396-406 . |
| MLA | Xu, Min et al. "Assessing the Feasibility of Using AI Models to Simplify Brain Imaging Reports for Patients: A Comparative Analysis of Four Large Language Models" . (2025) : 396-406 . |
| APA | Xu, Min , Wang, Yiwen . Assessing the Feasibility of Using AI Models to Simplify Brain Imaging Reports for Patients: A Comparative Analysis of Four Large Language Models . (2025) : 396-406 . |
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The field of using neural data to forecast aggregate consumer choice has garnered attention in the past decade, holding substantial promise for both researchers and practitioners. However, a comprehensive understanding of this emerging field is lacking. This paper aims to bridge that gap by summarizing existing research, encompassing relevant theories, metrics, progress, and future directions. We begin by introducing the concept of neuroforecasting within the field of neuromarketing. We then delve into theories that leverage neural data for forecasting aggregate choice, including affect-integration-motivation framework, frontal asymmetry, and inter-subject correlation. Subsequently, we review various metrics, including self-reported, behavioral, and neural metrics employed to forecast market-level behavior, presenting key findings from relevant studies. Furthermore, we examine the strengths and weaknesses of this field. Advantages of this approach include its ability to offer effective predictions of consumer behavior and provide enhanced insights into consumer preferences and choices, while its weaknesses encompass relatively high cost, sample size constraints, issues of ecological validity, and challenges related to reverse inference. In conclusion, future research should prioritize integrating diverse data types with machine learning techniques to forecast the outcomes of marketing campaigns in advance. Additionally, a deeper exploration of the psychological and cognitive processes underlying successful predictions can augment predictive accuracy and effectiveness. This review provides a systematic overview for researchers and practitioners in this field, offering valuable insights and guidance for future research endeavors and industry applications.
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| GB/T 7714 | Yao, Xiaoqiang , Wang, Yiwen . Using neural data to forecast aggregate consumer behavior in neuromarketing: Theory, metrics, progress, and outlook [J]. | JOURNAL OF CONSUMER BEHAVIOUR , 2024 , 23 (4) : 2142-2159 . |
| MLA | Yao, Xiaoqiang et al. "Using neural data to forecast aggregate consumer behavior in neuromarketing: Theory, metrics, progress, and outlook" . | JOURNAL OF CONSUMER BEHAVIOUR 23 . 4 (2024) : 2142-2159 . |
| APA | Yao, Xiaoqiang , Wang, Yiwen . Using neural data to forecast aggregate consumer behavior in neuromarketing: Theory, metrics, progress, and outlook . | JOURNAL OF CONSUMER BEHAVIOUR , 2024 , 23 (4) , 2142-2159 . |
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Willingness to pay (WTP) pervades every marketplace transaction, therefore, understanding how the brain makes bidding decisions is essential in consumer neuroscience. Although some neuroimaging studies have investigated the neural networks of WTP, systematic understanding remains limited. This study identified reliable neural networks activated by the WTP across different reward types and assessed common and distinct neural networks for different reward types (food and other) bids. We conducted an activation likelihood estimation (ALE) metaanalysis on WTP across different reward types (25 studies; 254 foci; 705 participants), and to compared neural representations of WTP for food reward (22 studies; 232 foci; 628 participants) and other rewards (7 studies, 61 foci; 177 participants). The ALE results revealed that the brain centers of WTP for different rewards mainly consist of the bilateral inferior frontal gyrus (IFG), bilateral insula, bilateral anterior cingulate cortex (ACC), along with the left caudate. This suggests that neural networks encoding WTP for different rewards consist of brain regions associated with reward processing, cost-benefit calculations, and goal-directed action activities. In addition, consistent activation of the bilateral IFG and bilateral insula for food but no other rewards bids suggest their involvement in the neural network of appetite. WTP for food and other rewards commonly activated ACC, suggesting a common region encoding bids for different rewards. Our findings provide novel insights into neural networks associated with WTP for food and other rewards bids and the mechanisms underlying WTP across different reward types.
Keyword ：
Activation likelihood estimation Activation likelihood estimation Consumer neuroscience Consumer neuroscience Food Food Functional magnetic resonance imaging Functional magnetic resonance imaging Meta -analysis Meta -analysis Willingness to pay Willingness to pay
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| GB/T 7714 | Wang, Yiwen , Yao, Xiaoqiang . Neural correlates of willingness to pay for items: A meta-analysis of functional magnetic resonance imaging studies [J]. | PHYSIOLOGY & BEHAVIOR , 2024 , 278 . |
| MLA | Wang, Yiwen et al. "Neural correlates of willingness to pay for items: A meta-analysis of functional magnetic resonance imaging studies" . | PHYSIOLOGY & BEHAVIOR 278 (2024) . |
| APA | Wang, Yiwen , Yao, Xiaoqiang . Neural correlates of willingness to pay for items: A meta-analysis of functional magnetic resonance imaging studies . | PHYSIOLOGY & BEHAVIOR , 2024 , 278 . |
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Sound is one of the important environmental factors that influence individuals' decision-making. However, it is still unclear whether and how natural sounds nudge green product purchases. This study proposes an extension of the Stimulus-Organism-Response (S-O-R) framework, suggesting that natural sounds increase early attentional congruency associated with green products, thereby promoting individuals' green product purchases. To test our theory, we conducted an experiment employing a hierarchical drift-diffusion model (HDDM) and utilized an event-related potentials (ERP) method. Results showed that natural sounds not only increased the purchase rate for green products but also enhanced drift rate in favor of purchasing green products. Additionally, consumers also exhibited a reduced frontal early P2 wave (150-230 ms) in response to green products under natural sounds, indicating that natural sounds increased the early attentional congruency associated with green products. More importantly, neural correlates of early attentional congruency meditated the nudge effect of natural sounds on purchase rate and drift rate for green products. This study contributes to the neural understanding of how natural sounds influence green product purchases and provides actionable implications for market managers to design the green products sales environments.
Keyword ：
Early attentional congruency Early attentional congruency Electroencephalogram Electroencephalogram Event-related potentials Event-related potentials Green product purchases Green product purchases Hierarchical drift-diffusion model Hierarchical drift-diffusion model Natural sounds Natural sounds
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| GB/T 7714 | Liang, Geying , Huang, Liang , Wang, Yiwen . Combining hierarchical drift-diffusion model and event-related potentials to reveal how do natural sounds nudge green product purchases [J]. | PHYSIOLOGY & BEHAVIOR , 2024 , 287 . |
| MLA | Liang, Geying et al. "Combining hierarchical drift-diffusion model and event-related potentials to reveal how do natural sounds nudge green product purchases" . | PHYSIOLOGY & BEHAVIOR 287 (2024) . |
| APA | Liang, Geying , Huang, Liang , Wang, Yiwen . Combining hierarchical drift-diffusion model and event-related potentials to reveal how do natural sounds nudge green product purchases . | PHYSIOLOGY & BEHAVIOR , 2024 , 287 . |
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The ability to comprehend the intention conveyed through human body movements is crucial for effective interpersonal interactions. If people can't understand the intention behind other individuals' isolated or interactive actions, their actions will become meaningless. Psychologists have investigated the cognitive processes and neural representations involved in understanding action intention, yet a cohesive theoretical explanation remains elusive. Hence, we mainly review existing literature related to neural correlates of action intention, and primarily propose a putative Three-stage Dynamic Brain-cognitive Model of understanding action intention, which involves body perception, action identification and intention understanding. Specifically, at the first stage, body parts/shapes are processed by those brain regions such as extrastriate and fusiform body areas; During the second stage, differentiating observed actions relies on configuring relationships between body parts, facilitated by the activation of the Mirror Neuron System; The last stage involves identifying various intention categories, utilizing the Mentalizing System for recruitment, and different activation patterns concerning the nature of the intentions participants dealing with. Finally, we delves into the clinical practice, like intervention training based on a theoretical model for individuals with autism spectrum disorders who encounter difficulties in interpersonal communication.
Keyword ：
Bodily intention understanding Bodily intention understanding Mentalizing system Mentalizing system Mirror neuron system Mirror neuron system Social cognition Social cognition Three-stage dynamic brain-cognitive model Three-stage dynamic brain-cognitive model
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| GB/T 7714 | Huang, Liang , Du, Fangyuan , Huang, Wenxin et al. Three-stage Dynamic Brain-cognitive Model of Understanding Action Intention Displayed by Human Body Movements [J]. | BRAIN TOPOGRAPHY , 2024 , 37 (6) : 1055-1067 . |
| MLA | Huang, Liang et al. "Three-stage Dynamic Brain-cognitive Model of Understanding Action Intention Displayed by Human Body Movements" . | BRAIN TOPOGRAPHY 37 . 6 (2024) : 1055-1067 . |
| APA | Huang, Liang , Du, Fangyuan , Huang, Wenxin , Ren, Hanlin , Qiu, Wenzhen , Zhang, Jiayi et al. Three-stage Dynamic Brain-cognitive Model of Understanding Action Intention Displayed by Human Body Movements . | BRAIN TOPOGRAPHY , 2024 , 37 (6) , 1055-1067 . |
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Compensatory consumption theory posits that individuals tend to engage in status consumption as a response to experiencing upward social comparison. However, it is unclear whether upward social comparison can influence status consumption in four lifestyle domains: clothing, eating, living, and travelling. Therefore, we conducted two separate studies with a sample of Chinese consumers. In Study 1, we investigated the effects of upward social comparison on status consumption in four domains by comparing participants with a specific individual. In Study 2, we examined the effects of upward social comparison on status consumption in four domains by comparing participants with a group. Additionally, Study 2 examined the mediating role of perceived self-improvement and perceived superiority. The results revealed that participants exhibited higher purchase intentions and preferences for status products and services in four consumption domains when exposed to upward social comparison. Furthermore, the results also indicated that perceived self-improvement and perceived superiority mediated the positive effects of status consumption in four domains under upward social comparison. These findings contribute to the broader applicability of compensatory consumption theory.
Keyword ：
perceived self-improvement perceived self-improvement perceived superiority perceived superiority status consumption status consumption upward social comparison upward social comparison
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| GB/T 7714 | Liang, Geying , Li, Yan , Song, Wu et al. The influence of upward social comparison on status consumption in clothing, eating, living, and travelling: The mediating effects of perceived self-improvement and perceived superiority [J]. | ASIAN JOURNAL OF SOCIAL PSYCHOLOGY , 2024 , 27 (4) : 870-887 . |
| MLA | Liang, Geying et al. "The influence of upward social comparison on status consumption in clothing, eating, living, and travelling: The mediating effects of perceived self-improvement and perceived superiority" . | ASIAN JOURNAL OF SOCIAL PSYCHOLOGY 27 . 4 (2024) : 870-887 . |
| APA | Liang, Geying , Li, Yan , Song, Wu , Wang, Yiwen . The influence of upward social comparison on status consumption in clothing, eating, living, and travelling: The mediating effects of perceived self-improvement and perceived superiority . | ASIAN JOURNAL OF SOCIAL PSYCHOLOGY , 2024 , 27 (4) , 870-887 . |
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