Computers in human behavior reports最新文献

{"title":"Using the Unified Theory of Acceptance and Use of Technology (UTAUT) to design an online Direct-to-consumer marketing of internet-based cognitive behavioral therapy for people with depression: Randomized controlled trial","authors":"Larry Auyeung , Ella Zoe Tsang , Winnie W.S. Mak","doi":"10.1016/j.chbr.2025.100695","DOIUrl":"10.1016/j.chbr.2025.100695","url":null,"abstract":"<div><h3>Background</h3><div>Given the low acceptance of Internet-based interventions for depression, finding ways to increase the acceptance and uptake is crucial for the dissemination of Internet-based cognitive behavioral therapy. Moreover, it remains unknown to what extent the Unified Theory of Acceptance and Use of Technology (UTAUT) could aid the design of Direct-to-Consumer Marketing (DTC) in psychological service.</div></div><div><h3>Objectives</h3><div>This study aims to explore whether the regulatory processes theorized in UTAUT (i.e., performance expectancy, effort expectancy, social influence, and facilitating condition) could be modified by DTC, and whether the changes could mediate the change in acceptance of Internet-based cognitive behavioral therapy (i.e., the behavioral intention of technology use).</div></div><div><h3>Method</h3><div>In this randomized controlled trial with a parallel design, we invited 219 individuals with at least mild level of depression (PHQ9≥ 5). Majority of the sample (65 %) had at least moderate level of depressive symptoms and met the clinical threshold for major depressive disorder. Upon completion of pre-assessment, participants were randomly allocated to an intervention and an active control group. The intervention group received a 7- minute UTAUT-driven promotion video on Internet-based cognitive behavioral therapy, while the control group received a video of same length with general psychoeducation. Both groups completed a post-assessment after watching the corresponding video via an online platform.</div></div><div><h3>Analysis and results</h3><div>Repeated measures ANOVA showed a significant time by group effect on acceptance of Internet-based cognitive behavioral therapy, perceived performance expectancy, and social influence. The video used in the intervention group, which was designed in accordance with UTAUT, was perceived to be clearer and more persuasive than that in the control group. Mediation analysis showed that the effect of intervention group was mediated by increases in perceived performance expectancy, and conditional process analysis showed that the indirect effect was conditional on participants’ level of help seeking stigma.</div></div><div><h3>Conclusions</h3><div>Internet-based cognitive behavioral therapy is a promising approach to improve healthcare coverage, the level of acceptance of Internet-based cognitive behavioral therapy can be improved by brief DTC promotion video that would allow for widespread and mass dissemination. The finding casts light on perceived performance expectancy of Internet-based cognitive behavioral therapy as the most modifiable regulatory processes. Its change also mediated changes in Internet treatment acceptance. Yet, such relation could be attenuated by high predisposition help-seeking stigma. Taken all together, DTC videos could be the first part of an integral, gradual, and stepped support strategy in Internet-based intervention. Effort in sti","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100695"},"PeriodicalIF":4.9,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144196297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metaverse technologies and human behavior: Insights into engagement, adoption, and ethical challenges","authors":"Raghu Raman ,&nbsp;Robin Kowalski ,&nbsp;Krishnashree Achuthan","doi":"10.1016/j.chbr.2025.100712","DOIUrl":"10.1016/j.chbr.2025.100712","url":null,"abstract":"<div><div>This study explores the role of metaverse technologies, including virtual reality (VR) and augmented reality (AR), in shaping cognitive, emotional, and social processes and applies the Theory, Context, Characteristics, Methodology (TCCM) framework to synthesize insights from existing research. Seven thematic building blocks, derived from BERTopic modeling, guide the analysis: immersive learning behaviors in education, behavioral and ethical dimensions of metaverse technologies, VR applications in therapy and health outcomes, cognitive effects and behavioral responses in VR, VR for behavioral skills and training, VR and AR in learning and development, and VR technologies for safety-related behaviors. Key theories, including flow theory, self-determination theory, the technology acceptance model, the unified theory of acceptance and use of technology, and the Proteus effect, provide structured lenses for understanding user engagement, technology adoption, and behavioral outcomes in these contexts. Future research should focus on advancing these theoretical frameworks to account for emerging behavioral, cognitive, and emotional dynamics in metaverse environments. Equitable design and inclusive access remain critical priorities, particularly in education, therapy, and workplace training, to ensure that metaverse technologies address diverse user needs. Long-term studies are necessary to explore the psychological and social implications of sustained engagement with metaverse technologies, particularly in relation to ethical concerns, privacy, and governance. By integrating theory and practice, this research identifies critical gaps and directions for leveraging metaverse technologies to enhance human‒computer interaction while addressing its inherent challenges.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100712"},"PeriodicalIF":4.9,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144196299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficacy of digital mental health interventions for attention-deficit hyperactivity disorder: A meta-analytic review of randomised controlled trials","authors":"K.T.A. Sandeeshwara Kasturiratna ,&nbsp;Andree Hartanto ,&nbsp;Angel Khaterina Lee ,&nbsp;Charmaine Jiali Koh ,&nbsp;Nadyanna M. Majeed","doi":"10.1016/j.chbr.2025.100703","DOIUrl":"10.1016/j.chbr.2025.100703","url":null,"abstract":"<div><div>Attention-Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder that significantly impacts various facets of life. While traditional treatments such as medication and behavioural therapy are effective, they often fall short due to limited access and undesirable side effects. In response to these limitations, digital mental health interventions have emerged as a transformative approach in alleviating ADHD symptoms. The current meta-analysis investigates the effectiveness of digital mental health interventions for ADHD synthesising data across 23 randomised controlled trials, with 99 effect sizes across 1472 participants. Results showed small, significant effects of digital mental health interventions in reducing overall ADHD symptoms (<em>g</em> = −0.32, <em>SE</em> = 0.11, 95 % <em>CI</em> = [-0.53, −0.11], <em>p</em> = .003) and inattentive symptoms (<em>g</em> = −0.25, <em>SE</em> = 0.11, 95 % <em>CI</em> = [-0.47, −0.04], <em>p =</em> .020). No significant effect was found for hyperactivity/impulsivity (<em>g</em> = −0.25, <em>SE</em> = 0.11, 95 % <em>CI</em> = [-0.47, −0.04], <em>p =</em> .020). Intervention type significantly moderated the effects of digital interventions, with neurofeedback interventions showing lower effectiveness compared to combination-based interventions, while telehealth and mHealth interventions showed no significant differences. Additionally, no significant differences were found between therapist-guided and self-guided interventions, suggesting that both delivery formats may be viable. Other methodological factors (e.g., intervention duration, informant assessed, measures used to assess ADHD, and control type) and sample characteristics (e.g., age, gender, region) did not significantly moderate intervention effects. These findings highlight the potential of digital interventions for ADHD management while suggesting that neurofeedback interventions may require modifications to enhance their effectiveness.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100703"},"PeriodicalIF":4.9,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144169564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The use of Artificial Intelligence (AI) in the hiring process: Job applicants’ perceptions of procedural justice","authors":"Md Sajjad Hosain ,&nbsp;Mohammad Bin Amin ,&nbsp;Gouranga Chandra Debnath ,&nbsp;Md Atikur Rahaman","doi":"10.1016/j.chbr.2025.100713","DOIUrl":"10.1016/j.chbr.2025.100713","url":null,"abstract":"<div><div>Using Artificial Intelligence (AI) for hiring is becoming a common practice among the employers. However, there is a lack of empirical evidence in academia about how job applicants react to such utilization. In this empirical study, we tried to investigate the relationship between perceived (by job applicants) use of AI in the hiring process (PUAHP) and job applicants’ perceived procedural justice (PPJ) using an extension of the Technology Acceptance Model (TAM) as mediators [perceived ease of use (PEU), perceived usefulness (PU) and perceived trust (PT)]. The study was conducted based on primary data collected from 418 job applicants in Bangladesh. We used SPSS 26 for descriptive statistics and partial least squares structural equation modeling (PLS-SEM) through SmartPLS 4.0. The study identified that, first of all, PUAHP has a significant positive relationship with the dependent variable, PPJ. Second, PUAHP was also found to be significantly correlated with all three mediators (PEU, PU and PT). Third, PEU, PU and PT were identified to have significant positive relationships with PPJ. Finally, regarding the mediating effects, we found that all three mediators partially mediated the relationship between PUAHP and PPJ. Although, there are sufficient empirical studies that have focused on the use of AI in the hiring process, comparatively less attention has been put so far particularly on job applicants' percpetions of such an use of AI in the hiring process. Therefore, this study can add value to the existing knowledge by reducing such lacking. Moreover, we used three components of the extended TAM as mediators which is an unique effort in academia. Furthermore, the study was conducted based on primary responses in an emerging economy which is also rare in academia.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100713"},"PeriodicalIF":4.9,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impulse buying in live streaming e-commerce: A systematic literature review and future research agenda","authors":"Yang Li,&nbsp;Nieves García-de-Frutos,&nbsp;José Manuel Ortega-Egea","doi":"10.1016/j.chbr.2025.100676","DOIUrl":"10.1016/j.chbr.2025.100676","url":null,"abstract":"<div><div>Live streaming e-commerce is gaining increasing popularity and is widely believed to stimulate impulse purchases. However, the literature on this topic is fragmented, lacking a cohesive foundation that hampers theoretical and empirical advancement. To address this gap, this paper presents a systematic literature review on impulse buying behavior in the context of live streaming e-commerce. Only peer-reviewed articles published in journals indexed in Web of Science or Scopus were considered. Our review synthesizes relevant findings from prior research across publication outlets, methodologies, theoretical frameworks, research contexts, and analyzed factors. We adopt the Stimulus-Organism-Response (S-O-R) model as an organizing framework, highlighting the key factors influencing impulse buying in live streaming e-commerce. The findings indicate that most research has relied on a cross-sectional survey design, predominantly conducted in Chinese contexts. Many researchers have employed the S-O-R framework; however, various other theoretical approaches have also been considered, depending on the key element under study (e.g., viewer, streamer, platform, or content of live streaming). Additionally, our findings identify a range of antecedents analyzed as different types of stimuli (e.g., marketing, streamer, live streaming, and others) and organismic factors (cognitive, affective, cognitive-affective, and personal traits). Finally, we propose a research agenda to guide future work and advance the field.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100676"},"PeriodicalIF":4.9,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144169577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Is it me or is it us – Effect of agent autonomy on perceptions as a team","authors":"Rebecca Müller ,&nbsp;Benedikt Graf ,&nbsp;Thomas Ellwart ,&nbsp;Conny H. Antoni","doi":"10.1016/j.chbr.2025.100701","DOIUrl":"10.1016/j.chbr.2025.100701","url":null,"abstract":"<div><div>It is important to know what characteristics of agents influence human perceptions of being a team with agents. Theoretical research suggests that higher agent autonomy leads to a greater human perception of being in a team with agents. To assess this theoretical assumption, we used a within-subject experiment with ninety-four participants in this pre-registered study. We investigated whether agent autonomy (no vs. partial vs. high agent autonomy) influences human perceptions of being a team with the agent. We used different aspects of teamwork (i.e., task interdependence, role uniqueness, agent perception as team member or tool, team identity) as indicators of human perceptions of being a team with the agent. Participants perceived higher task interdependence, role uniqueness, agent perception as team member or tool, and team identity with partial compared to no agent autonomy. We found no differences between partial and high agent autonomy on indicators of human perceptions of being a team with the agent. Qualitative analyses show that from partial autonomy of the agent onwards, other factors (e.g., collaboration, anthropomorphic cues) are more important to perceive the agent more as a team member rather than simply increasing autonomy. We extend existing frameworks for human-autonomy teams beyond a sole focus on agent autonomy and objective task interdependence.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100701"},"PeriodicalIF":4.9,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Suspicious minds: Psychological techniques correlated with online phishing attacks","authors":"Ioannis Stylianou ,&nbsp;Panagiotis Bountakas ,&nbsp;Apostolis Zarras ,&nbsp;Christos Xenakis","doi":"10.1016/j.chbr.2025.100694","DOIUrl":"10.1016/j.chbr.2025.100694","url":null,"abstract":"<div><div>Phishing remains a pervasive threat to information security, leveraging human psychology to manipulate individuals into disclosing sensitive information or performing actions against their best interests. This study presents a comprehensive taxonomy and analysis of psychological techniques utilized in social engineering, introducing novel metrics such as Absolute Compliance Increase Rate (ACR), Relative Compliance Increase Rate (RCR), and Comprehensive Compliance Increase Rate (CCR) to quantify their effectiveness. Our methodology involved a systematic review of existing literature and empirical data from psychological experiments to evaluate and compare the effectiveness of various techniques, including Authority, Commitment &amp; Consistency, Reciprocity, and Group Pressure. The findings indicate that the Majority Size technique, measured by CCR, is particularly potent in scenarios with low initial compliance rates, while Authority, Commitment &amp; Consistency, and Reciprocity also demonstrate high effectiveness. These insights enhance the understanding of the mechanics of social engineering techniques, enabling the development of more effective countermeasures against social engineering attacks.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100694"},"PeriodicalIF":4.9,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144189688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparing motives for cosmetic microtransactions using the CMTX-Q – The cosmetic microtransactions questionnaire","authors":"Christian Böffel,&nbsp;Sophie Würger,&nbsp;Leonie Tara,&nbsp;Sabine J. Schlittmeier","doi":"10.1016/j.chbr.2025.100700","DOIUrl":"10.1016/j.chbr.2025.100700","url":null,"abstract":"<div><div>A popular way to monetize online games is through microtransactions, which are used to buy virtual goods with real money. This way, revenue is generated without the need for a retail price or subscription model, but through supposedly small payments generated by microtransactions. These microtransactions can be used to purchase game time, competitive advantages, or purely cosmetic items. The latter, so-called cosmetic microtransactions (CMTX), only bring about a visual change to the virtual characters and objects in the game and are not required to play, compete, or succeed in the game. The present study introduces a questionnaire on the motives for cosmetic microtransactions (CMTX-Q) that is refined based on factor analytical results obtained from two samples in two separate studies. The questionnaire is designed as a research tool to examine this phenomenon and elucidate why players purchase cosmetics using microtransactions. The CMTX-Q is then used to compare the importance of different motives for cosmetic microtransactions within and across different games. We observed a higher importance of status and investment motives and a lower importance of the benevolence motive for Counter Strike: Global Offensive players compared to League of Legends players.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100700"},"PeriodicalIF":4.9,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144231427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying storytelling in job interviews using deep learning","authors":"Elisabeth Germanier ,&nbsp;Mutian He ,&nbsp;Amina Mardiyyah Rufai ,&nbsp;Philip N. Garner ,&nbsp;Adrian Bangerter ,&nbsp;Laetitia A. Renier ,&nbsp;Marianne Schmid Mast ,&nbsp;Koralie Orji","doi":"10.1016/j.chbr.2025.100688","DOIUrl":"10.1016/j.chbr.2025.100688","url":null,"abstract":"<div><div>Structured interviews often include past-behavior questions inviting applicants to recount a past work experience. While optimal responses to these questions should take the form of a story, applicants struggle to produce them extemporaneously. Asynchronous video interviews (AVIs) present new opportunities for job interview coaching, which can incorporate artificial intelligence to analyze audio-recorded responses and deliver personalized feedback. We explore the potential of audio-based deep-learning models to identify storytelling and other, sub-optimal responses (pseudo-stories, decontextualized self-descriptions) from interview audio recordings. Using data from 254 mock interviews featuring three past-behavior questions, we developed models to determine the utterance type, considering different scenarios and labeling schemes of varying granularity. We further applied multiple techniques to improve the model accuracy. Findings show that our models achieve satisfactory performance when enhanced with audio information and enriched with longer context (best accuracy: 77.67%) However, providing paralinguistic cues from the audio recordings did not help improve the models’ performance. We discuss the results, implications, and future research directions.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100688"},"PeriodicalIF":4.9,"publicationDate":"2025-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144178747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The next frontier in mindreading? Assessing generative artificial intelligence (GAI)'s social-cognitive capabilities using dynamic audiovisual stimuli","authors":"Elad Refoua ,&nbsp;Zohar Elyoseph ,&nbsp;Renata Wacker ,&nbsp;Isabel Dziobek ,&nbsp;Iftach Tsafrir ,&nbsp;Gunther Meinlschmidt","doi":"10.1016/j.chbr.2025.100702","DOIUrl":"10.1016/j.chbr.2025.100702","url":null,"abstract":"<div><div>The integration of Generative Artificial Intelligence (GAI) into human social contexts has raised fundamental questions about machines' capacity to understand and respond to complex emotional and social dynamics. While recent studies have demonstrated GAI's promising capabilities in processing static emotional content, the frontier of dynamic social cognition – where multiple modalities converge to create naturalistic social scenarios – remained largely unexplored. This study advances our understanding by examining the social-cognitive capabilities of Google's Gemini 1.5 Pro model through its performance on the Movie for the Assessment of Social Cognition (MASC), a sophisticated instrument designed to evaluate mentalization abilities using dynamic audiovisual stimuli. We compared the model's performance to a human normative sample (N = 1230) across varying temperature settings (a parameter controlling the level of randomness in the AI's output, where lower values lead to more deterministic responses and higher values increase variability; set at 0, 0.5, and 1). Results revealed that Gemini 1.5 Pro consistently performed above chance across all conditions (all corrected <em>p</em>s &lt; 0.001, Cohen's <em>h</em> range = 1.17–1.41) and significantly outperformed the human sample mean (<em>Z</em> = 2.24, <em>p</em> = .025; Glass's Δ = 0.92, 95 % CI [0.11, 1.72]; Hedges' <em>g</em> = 0.92, 95 % CI [0.12, 1.72]). Analysis of error patterns revealed a distribution between hyper-mentalizing (41.0 %; over-attribution of mental states), hypo-mentalizing (46.2 %; under-attribution of mental states), and non-mentalizing (12.8 %; failure to recognize mental states) errors. These findings extend our understanding of artificial social cognition to complex multimodal processing while raising important questions about the nature of machine-based social understanding. The implications span theoretical considerations in artificial Theory of Mind to practical applications in mental health care and social skills training, though careful consideration is warranted regarding the fundamental differences between human and artificial social cognitive processing.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"19 ","pages":"Article 100702"},"PeriodicalIF":4.9,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144254333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}