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Safari N, Fang H, Veerareddy A, Xu P, Krueger F. The anatomical structure of sex differences in trust propensity: A voxel-based morphometry study. Cortex 2024; 176:260-273. [PMID: 38677959 DOI: 10.1016/j.cortex.2024.02.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 08/14/2023] [Accepted: 02/28/2024] [Indexed: 04/29/2024]
Abstract
Trust is a key component of human relationships. Sex differences in trust behavior have been elucidated by parental investment theory and social role theory, attributing men's higher trust propensity to their increased engagement in physically and socially risky activities aimed at securing additional resources. Although sex differences in trust behavior exist and the neuropsychological signatures of trust are known, the underlying anatomical structure of sex differences is still unexplored. Our study aimed to investigate the anatomical structure of sex differences in trust behavior toward strangers (i.e., trust propensity, TP) by employing voxel-based morphometry (VBM) in a sample of healthy young adults. We collected behavioral data for TP as measured with participants in the role of trustors completing the one-shot trust game (TG) with anonymous partners as trustees. We conducted primary region of interest (ROI) and exploratory whole-brain (WB) VBM analyses of high-resolution structural images to test for the association between TP and regional gray matter volume (GMV) associated with sex differences. Confirming previous studies, our behavioral results demonstrated that men trusted more than women during the one-shot TG. Our WB analysis showed a greater GMV related to TP in men than women in the precuneus (PreC), whereas our ROI analysis in regions of the default-mode network (dorsomedial prefrontal cortex [dmPFC], PreC, superior temporal gyrus) to simulate the partner's trustworthiness, central-executive network (ventrolateral PFC) to implement a calculus-based trust strategy, and action-perception network (precentral gyrus) to performance cost-benefit calculations, as proposed by a neuropsychoeconomic model of trust. Our findings advance the neuropsychological understanding of sex differences in TP, which has implications for interpersonal partnerships, financial transactions, and societal engagements.
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Affiliation(s)
- Nooshin Safari
- School of Systems Biology, George Mason University, Fairfax, VA, USA
| | - Huihua Fang
- Shenzhen Key Laboratory of Affective and Social Neuroscience, Magnetic Resonance Imaging, China; Department of Psychology, University of Mannheim, Mannheim, Germany
| | | | - Pengfei Xu
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (BNU), Faculty of Psychology, Beijing Normal University, Beijing, China; Center for Neuroimaging, Shenzhen Institute of Neuroscience, Shenzhen, China.
| | - Frank Krueger
- School of Systems Biology, George Mason University, Fairfax, VA, USA; Department of Psychology, University of Mannheim, Mannheim, Germany
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2
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Cao J, Feng H, Lim Y, Kodama K, Zhang S. How Social Influence Promotes the Adoption of Mobile Health among Young Adults in China: A Systematic Analysis of Trust, Health Consciousness, and User Experience. Behav Sci (Basel) 2024; 14:498. [PMID: 38920829 PMCID: PMC11200938 DOI: 10.3390/bs14060498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 06/11/2024] [Accepted: 06/12/2024] [Indexed: 06/27/2024] Open
Abstract
As mobile health (mHealth) offers several advantages in healthcare, researchers are exploring the motivational factors for its adoption. However, few studies have elucidated the complex relationship between social influence and behavioral intentions to adopt mHealth among young adults in China. This study explored the impact of social influence on young adults' behavioral intentions to adopt mHealth, the mediating roles of trust and health consciousness, and the moderating effect of mHealth user experience on the relationship between the predictors. In total, 300 valid responses were collected from a university in China, and a research model was developed. The partial least squares structural equation modeling method was used to verify the relationship between the main research variables. mHealth adoption behavioral intentions among young adults were significantly positively impacted by social influence; it indirectly increased mHealth adoption behavioral intentions by positively affecting trust and health consciousness. mHealth use weakened the positive impact of social influence on trust and health consciousness, while user experience positively moderated the relationship between health consciousness and behavioral intentions. Trust and health consciousness play important roles in the complex multivariate relationships between social influence and behavioral intentions to adopt mHealth. Future research should consider the moderating role of the mHealth user experience. These findings enrich the mHealth technology acceptance theory framework and provide specific guidance strategies for marketing mHealth applications.
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Affiliation(s)
- Jianfei Cao
- College of Business Administration, Ritsumeikan University, 2-150 Iwakura-cho, Ibaraki 567-8570, Osaka, Japan; (J.C.); (Y.L.)
| | - Hanlin Feng
- Graduate School of Technology Management, Ritsumeikan University, Ibaraki 567-8570, Osaka, Japan;
| | - Yeongjoo Lim
- College of Business Administration, Ritsumeikan University, 2-150 Iwakura-cho, Ibaraki 567-8570, Osaka, Japan; (J.C.); (Y.L.)
| | - Kota Kodama
- Faculty of Data Science, Nagoya City University, Nagoya 467-8501, Aichi, Japan;
| | - Shuo Zhang
- School of Management, Harbin Institute of Technology, Harbin 150006, China
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3
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Chen H, Li HX, Li L, Zhang XH, Gu JW, Wang Q, Wu CM, Wu YQ. Factors Associated with Intention to Use Telerehabilitation for Children with Special Needs: A Cross-Sectional Study. Telemed J E Health 2024; 30:1425-1435. [PMID: 38346325 DOI: 10.1089/tmj.2023.0325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2024] Open
Abstract
Background: Children with special health care needs (CSHCN) require long-term and ongoing rehabilitation interventions supporting their development. Telerehabilitation can provide continuous rehabilitation services for CSHCN. However, few studies have explored the intention of CSHCN and their caregivers to use telerehabilitation and its impact on them. Objective: The objective of this study was to identify factors that influence the intention to use telerehabilitation among CSHCN and their caregivers. Methods: This study was a cross-sectional study. Based on the unified theory of acceptance and use of technology, extended with additional predictors (trust and perceived risk [PR]), this study developed a research model and proposed 10 hypotheses. A structured questionnaire was distributed to 176 caregivers. Data were analyzed and research hypotheses were tested using partial least squares structural equation modeling to better understand the factors influencing the use of telerehabilitation. Results: A total of 164 valid questionnaires were collected. CSHCN and their caregivers were overall satisfied with this telerehabilitation medical service. The results of the structural model analysis indicated that social influence (SI), facilitating conditions (FC), and trust had significant effects on behavioral intention (BI) to use telerehabilitation, while the paths between performance expectancy (PE), effort expectancy (EE), and PR and BI were not significant. PE, EE, and SI had a significant effect on trust. Moreover, EE and SI had indirect effects on BI, with trust as the mediator. Conclusions: The results indicated that SI, FC, and trust are significant factors influencing CSHCN and their caregivers' use of telerehabilitation. Trust is also an important mediator for the intention and highly influenced by PE, EE, and SI.
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Affiliation(s)
- Hong Chen
- Department of Pediatric Rehabilitation, Shaanxi Rehabilitation Hospital, Xi'an, China
| | - Hong-Xia Li
- Department of Pediatric Rehabilitation, Shaanxi Rehabilitation Hospital, Xi'an, China
| | - Ling Li
- Department of Pediatric Rehabilitation, Shaanxi Rehabilitation Hospital, Xi'an, China
| | - Xiao-Hong Zhang
- Department of Pediatric Rehabilitation, Shaanxi Rehabilitation Hospital, Xi'an, China
| | - Jun-Wang Gu
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, China
| | - Qi Wang
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, China
| | - Chun-Mei Wu
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, China
| | - Yong-Qiang Wu
- Department of Rehabilitation, Xi'an Children's Hospital, Xi'an, China
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4
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Cao J, Kurata K, Lim Y, Sengoku S, Kodama K. Social Acceptance of Mobile Health among Young Adults in Japan: An Extension of the UTAUT Model. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15156. [PMID: 36429875 PMCID: PMC9690921 DOI: 10.3390/ijerph192215156] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 11/09/2022] [Accepted: 11/12/2022] [Indexed: 06/16/2023]
Abstract
The unprecedented development of information and communication technologies has opened up immense possibilities in the field of health care. Mobile health (mHealth) is gaining increasing attention as an important technology for solving health-related problems. Although a high rate of smartphone usage among young people in Japan has been identified, smartphone usage for health management is not high. As Japanese youth are important potential users of mHealth, it is necessary to explore theories that influence the behavioral intention of Japanese youth to adopt mHealth. This study conducted a questionnaire survey in a Japanese university and collected 233 valuable responses. This study was adapted and extended from the unified theory of acceptance and use of technology (UTAUT) model to measure eight constructs: health consciousness, social influence, facilitation conditions, perceived risk, trust, performance expectancy, effort expectancy, and behavioral intention. Structural equation modeling was used for hypothesis testing. We found that trust, performance expectancy, and effort expectancy directly influenced the behavioral intention to use mHealth. Health consciousness and social influence indirectly influence behavioral intention through trust and performance expectancy. Facilitation conditions indirectly influenced behavioral intention through effort expectancy. This study makes a vital theoretical contribution to policymakers and product developers for the further diffusion of mHealth among young people in Japan.
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Affiliation(s)
- Jianfei Cao
- Graduate School of Technology Management, Ritsumeikan University, Ibaraki 567-8570, Japan
| | - Karin Kurata
- Graduate School of Corporate Business, Ritsumeikan University, Ibaraki 567-8570, Japan
| | - Yeongjoo Lim
- Graduate School of Corporate Business, Ritsumeikan University, Ibaraki 567-8570, Japan
| | - Shintaro Sengoku
- School of Environment and Society, Tokyo Institute of Technology, Tokyo 152-8550, Japan
| | - Kota Kodama
- Graduate School of Technology Management, Ritsumeikan University, Ibaraki 567-8570, Japan
- Center for Research and Education on Drug Discovery, The Graduate School of Pharmaceutical Sciences, Hokkaido University, Sapporo 060-0812, Japan
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5
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Zheng J, Hu L, Li L, Shen Q, Wang L. Confidence Modulates the Conformity Behavior of the Investors and Neural Responses of Social Influence in Crowdfunding. Front Hum Neurosci 2021; 15:766908. [PMID: 34803641 PMCID: PMC8600065 DOI: 10.3389/fnhum.2021.766908] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 09/28/2021] [Indexed: 01/10/2023] Open
Abstract
The decision about whether to invest can be affected by the choices or opinions of others known as a form of social influence. People make decisions with fluctuating confidence, which plays an important role in the decision process. However, it remains a fair amount of confusion regarding the effect of confidence on the social influence as well as the underlying neural mechanism. The current study applied a willingness-to-invest task with the event-related potentials method to examine the behavioral and neural manifestations of social influence and its interaction with confidence in the context of crowdfunding investment. The behavioral results demonstrate that the conformity tendency of the people increased when their willingness-to-invest deviated far from the group. Besides, when the people felt less confident about their initial judgment, they were more likely to follow the herd. In conjunction with the behavioral findings, the neural results of the social information processing indicate different susceptibilities to small and big conflicts between the own willingness of the people and the group, with small conflict evoked less negative feedback-related negativity (FRN) and more positive late positive potential (LPP). Moreover, confidence only modulated the later neural processing by eliciting larger LPP in the low confidence, implying more reliance on social information. These results corroborate previous findings regarding the conformity effect and its neural mechanism in investment decision and meanwhile extend the existing works of literature through providing behavioral and neural evidence to the effect of confidence on the social influence in the crowdfunding marketplace.
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Affiliation(s)
- Jiehui Zheng
- School of Management, Zhejiang University, Hangzhou, China.,Neuromanagement Laboratory, Zhejiang University, Hangzhou, China
| | - Linfeng Hu
- School of Management, Zhejiang University of Technology, Hangzhou, China
| | - Lu Li
- School of Management, Zhejiang University, Hangzhou, China.,Neuromanagement Laboratory, Zhejiang University, Hangzhou, China
| | - Qiang Shen
- School of Management, Zhejiang University of Technology, Hangzhou, China
| | - Lei Wang
- School of Management, Zhejiang University, Hangzhou, China.,Neuromanagement Laboratory, Zhejiang University, Hangzhou, China
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6
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Wu Y, Veerareddy A, Lee MR, Bellucci G, Camilleri JA, Eickhoff SB, Krueger F. Understanding identification-based trust in the light of affiliative bonding: Meta-analytic neuroimaging evidence. Neurosci Biobehav Rev 2021; 131:627-641. [PMID: 34606821 DOI: 10.1016/j.neubiorev.2021.09.053] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 09/05/2021] [Accepted: 09/28/2021] [Indexed: 10/20/2022]
Abstract
Trust is vital for establishing social relationships and is a crucial precursor for affiliative bonds. Investigations explored the neuropsychological bases of trust separately (e.g., measured by the trust game) and affiliative bonding (e.g., measured by parental care, pair-bonding, or friendship). However, direct empirical support for the shared neural mechanisms between trust and affiliative bonding is missing. Here, we conducted a coordinate-based meta-analysis on functional magnetic resonance imaging studies on interpersonal trust and affiliative bonding using the activation likelihood estimation method. Our results demonstrated that decisions to trust strangers in repeated interactions (i.e., identification-based trust) engaged the ventral striatum (vSTR, part of the mesolimbic dopaminergic pathway), likely signaling the reward anticipation. Further, both feedbacks in repeated interactions and affiliative bonding engaged the dorsal striatum (dSTR, part of the nigrostriatal dopaminergic pathway), likely encoding learning dynamics. Our findings suggest that identification-based trust can be understood in the light of affiliative bonding, involving the mesocorticolimbic "reward" pathway (vSTR) and nigrostriatal "habit formation" pathway (dSTR) in building and sustaining social relationships.
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Affiliation(s)
- Yan Wu
- Department of Psychology, College of Education, Hangzhou Normal University, Hangzhou, 311121, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, 311121, China
| | | | - Mary R Lee
- US Department of Veteran Affairs, Washington, DC, USA
| | - Gabriele Bellucci
- Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - Julia A Camilleri
- Institute for Neuroscience and Medicine (INM-7), Research Center Jülich, Germany; Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Simon B Eickhoff
- Institute for Neuroscience and Medicine (INM-7), Research Center Jülich, Germany; Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Frank Krueger
- School of Systems Biology, George Mason University, Fairfax, VA, USA; Department of Psychology, University of Mannheim, Mannheim, Germany.
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7
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Internet Celebrities’ Impact on Luxury Fashion Impulse Buying. JOURNAL OF THEORETICAL AND APPLIED ELECTRONIC COMMERCE RESEARCH 2021. [DOI: 10.3390/jtaer16060136] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
This study investigates how the endorsements of Internet celebrities (ICs) may drive consumer trust in their marketing campaigns, and subsequently affect impulse buying in relation to luxury fashion brands. Drawing on the framework of persuasion with a particular emphasis on the role of receivers, this study identifies five main characteristics, namely, the popularity of ICs, identification, IC adoration, social distance, and the perceived fit that may contribute to promoting impulse buying. A survey was conducted with 585 followers of IC in China. The findings reveal that trust is an essential factor that affects impulse buying. Identification and perceived fit both significantly contribute to increasing impulse buying through trust. Alternatively, large social distance may impair the relationship between trust and impulse buying. We conclude with implications for marketers that luxury fashion brands should seek cooperation not only with the most popular, but also with the most relevant ICs. An IC with a humble and relatable image can earn consumers’ trust and lead to an enhanced endorsement effect.
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8
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Feng C, Zhu Z, Cui Z, Ushakov V, Dreher JC, Luo W, Gu R, Wu X, Krueger F. Prediction of trust propensity from intrinsic brain morphology and functional connectome. Hum Brain Mapp 2020; 42:175-191. [PMID: 33001541 PMCID: PMC7721234 DOI: 10.1002/hbm.25215] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 08/31/2020] [Accepted: 09/09/2020] [Indexed: 01/08/2023] Open
Abstract
Trust forms the basis of virtually all interpersonal relationships. Although significant individual differences characterize trust, the driving neuropsychological signatures behind its heterogeneity remain obscure. Here, we applied a prediction framework in two independent samples of healthy participants to examine the relationship between trust propensity and multimodal brain measures. Our multivariate prediction analyses revealed that trust propensity was predicted by gray matter volume and node strength across multiple regions. The gray matter volume of identified regions further enabled the classification of individuals from an independent sample with the propensity to trust or distrust. Our modular and functional decoding analyses showed that the contributing regions were part of three large‐scale networks implicated in calculus‐based trust strategy, cost–benefit calculation, and trustworthiness inference. These findings do not only deepen our neuropsychological understanding of individual differences in trust propensity, but also provide potential biomarkers in predicting trust impairment in neuropsychiatric disorders.
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Affiliation(s)
- Chunliang Feng
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China.,School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Zhiyuan Zhu
- School of Artificial Intelligence, Beijing Normal University, Beijing, China.,Engineering Research Center of Intelligent Technology and Educational Application of Ministry of Education, Beijing Normal University, Beijing, China
| | - Zaixu Cui
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Vadim Ushakov
- National Research Center, Kurchatov Institute, Moscow, Russia.,National Research Nuclear University MEPhI, Moscow Engineering Physics Institute, Moscow, Russia
| | - Jean-Claude Dreher
- Neuroeconomics, Reward and Decision Making Laboratory, Institut des Sciences Cognitives Marc Jeannerod, CNRS, Bron, France
| | - Wenbo Luo
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China
| | - Ruolei Gu
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Xia Wu
- School of Artificial Intelligence, Beijing Normal University, Beijing, China.,Engineering Research Center of Intelligent Technology and Educational Application of Ministry of Education, Beijing Normal University, Beijing, China
| | - Frank Krueger
- School of Systems Biology, George Mason University, Fairfax, Virginia, USA.,Department of Psychology, George Mason University, Fairfax, Virginia, USA
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