Corrigendum to "an analytical framework for studying attitude towards emotional AI: The three-pronged approach" [Methods X, 10 (2023), 102149].

[This corrects the article DOI: 10.1016/j.mex.2023.102149.].

An analytical framework for studying attitude towards emotional AI: The three-pronged approach.

Emotional artificial intelligence (AI) is a narrow, weak form of an AI system that reads, classifies, and interacts with human emotions. This form of smart technology has become an integral layer of our digital and physical infrastructures and will radically transform how we live, learn, and work. Not only will emotional AI provide numerous benefits (i.e., increased attention and awareness, optimized productivity, stress management, etc.), but in sensing and interacting with our intimate emotions, it seeks to surreptitiously modify human behaviors. This study proposes to bring together the Technological Acceptance Model (TAM) and the Moral Foundation Theory to study determinants of emotional AI's acceptance under the analytical framework of the Three-pronged Approach (Contexts, Variables, and Statistical models). We argue that to quantitatively study the acceptance of new technologies, it is necessary to leverage two intuitions. The first is the degree of acceptance increases with how users of smart technology perceive its utilities and ease of use (formalized in the TAM). The second is the degree of acceptance decreases with the user's perception of threat or affirmation posed by the technology in relation to social norms and values (formalized in the Moral Foundation Theory). This study begins by mapping the ecology of current emotional AI use in various contexts such as workplace, education, healthcare, personal assistance, etc. It then provides a brief review and critique of current applications of the TAM and the Moral Foundation Theory in studying how humans judge smart technologies. Finally, we propose the Three-pronged Analytical Framework, offering recommendations on how future studies of technological acceptance could be conducted from the questionnaire design to building statistical models.

Virtual tree, real impact: how simulated worlds associate with the perception of limited resources.

Video games have long been considered an effective educational tool. Environmental education studies have found that games positively affect the feeling of nature connectedness, producing pro-environmental attitudes and behaviors. With growing urbanization, video games also provide chances to interact with nature. During the COVID-19 lockdown, Nintendo's Animal Crossing: New Horizon (ACNH) became a household name, with millions of copies sold worldwide. The article used the Bayesian multilevel model to analyze 640 survey responses of ACNH game players from various online communities. The correlations between the perception of limited resources and virtual planting and exploiting behaviors with the varying effect among ethnicities were explored. The findings suggested positive correlations between the perception and in-game actions among all ethnicities, regardless of whether the actions are planting or exploiting. While further evidence is needed, the findings suggest the restraints of game mechanics. To foster a pro-environmental culture, stakeholders can consider video games a novel technological aid to environmental education.

Good ethics cannot stop me from exploiting: The good and bad of anthropocentric attitudes in a game environment.

Video games have the potential to be a tool for communicating pro-environmental values. The present study examines the correlation between players' environmental attitudes and their interaction with virtual natural resources. This study constructs Bayesian ordinal logistic models to analyze survey data of 640 Animal Crossing: New Horizon (ACNH) players from 29 countries. Results show that the frequency of catching in-game animals (fish and insects) is positively correlated with the level of human centeredness in environmental attitudes. In addition, less anthropocentric players tend to use more sustainable methods to collect woods in ACNH. Such a particular way of interacting with in-game animals and trees based on their species may be attributable to players' environmental attitudes and game designs. This paper discusses how game design can play a role in promoting pro-environmental behaviors and highlights the moral implications of interactions with non-human beings.

A bibliometric review on development economics research in Vietnam from 2008 to 2020.

This study adopts the bibliometric approach to identify the key characteristics in the relationship of demographic factors (age, gender, affiliations, and locations), scientific productivity, and the collaboration among development economics researchers in Vietnam during the period 2008-2020. Overall, the number of publications and authors in development economics are rising steeply with the average annual growth rate of nearly 23% and 26%, respectively. Moreover, the 'quality' of the research appears to be high as 59% of the articles are published in journals in the first and second quartile according Scimago journal ranking. However, the citation counts for these studies indicate their impacts are far more languishing in comparison. In terms of research trends, this study identified three emerging areas of studies that are relatively under-researched, namely natural resources, technology, and urbanization. As for publishing practices, There is also a positive sign for the adoption of open science among Vietnamese researchers in this field. The findings are useful for predicting future research trends. In addition, the study provides several implications for policymakers in Vietnam to enhance research capacity.

On the social and conceptual structure of the 50-year research landscape in entrepreneurial finance.

In recent decades, drastic changes in global social-economic situations have led to significant shifts in the financial market for entrepreneurial firms, thus resulting in changes in entrepreneurial finance discipline. The current body of literature, despite its significant growth, has not provided an overview landscape of this research area. Consequently, this study aims to fill this gap by employing the bibliometric analysis of 6902 articles from 1970 to 2019 extracted from the Web of Science database. By doing so, this paper attempts to provide an overview of the discipline's research output, social and conceptual structure, and offer strategies facilitating the scientific development within the field. The findings indicate that entrepreneurial finance is a young and growing field with an exponential increase in the number of publications (approx. 19.75 percent per year) and rising collaboration tendency among authors. The 1991-2000 period is a crucial milestone of the field thanks to the remarkable growth and impact of studies during this period as well as simultaneously occurring historical events. We also notice a sign of Western ideological homogeneity from the collaboration networks and lists of most productive authors, institutions, and countries. Additionally, using thematic mapping, five major research domains are identified: "venture capital", "crowdfunding", "SMEs finance", "social entrepreneurship finance", "IPO and corporate governance". Based on these findings, we raise the concern of lacking diversity in entrepreneurial finance research and propose strategies for authors, journals, and policymakers to diversify the literature.

A Bibliometric Review of Research on International Students' Mental Health: Science Mapping of the Literature from 1957 to 2020.

The mental health of university students is not only a predominant topic for psychology and education researchers but also a source of interest for policymakers and various stakeholders. Although there has been a lot of research on higher education students' mental health, we have little understanding on the mental health of international students (MHIS). Despite their distinctive characteristics compared to native students, the mental health issues of international students only started receiving attention very recently. So far, the literature on this topic lacks a comprehensive overview of its sub-topic and trending issues. By using bibliometric analysis, this research aims to fulfil this gap and provide a review of the extant literature about MHIS. Specifically, this study aims to (i) draw the growth trajectory and geographic distribution of the literature on MHIS; (ii) identify the documents and authors that have the greatest impact, generally and locally, within the major topic clusters of the literature on MHIS; and (iii) identify the most researched keywords in the literature on MHIS over time. The results have shown that academic documents about international students' mental health are increasing in number and becoming more extensive content-wise. The research's findings provide implications for stakeholders and identifies some prominent research avenues for the future.

Good budget or good care: The dilemma of social health insurance in Vietnam.

OBJECTIVE: 2014 marked a rising public commitment to universal health coverage in Vietnam to eliminate the financial burden for patients, but there are lots of hindrances. It is evident that patients met difficulties to validate their insurances, so health insurance does not significantly address out-of-pocket payments issues. Furthermore, the unequal geographical distribution of hospitals in Vietnam has created an inequality between non-residing patients and residing patients; the former usually pay more. This calls into question how the validity of healthcare insurance and patient's residence could be related to patient's financial status and their satisfaction with health insurance. METHODS: Bayesian regression models are employed to analyze a data set of 1042 inpatients in hospitals of all levels in Northern Vietnam. RESULT: The results show that living in the same region as the hospital and having valid insurance is negatively correlated with the impoverishing risk. Regarding patients' satisfaction with health insurance, it is negatively correlated with having a residence in the same region as the hospital but positively correlated with higher socioeconomic status and insurance validity. Finally, on average, the satisfaction of patients who have already recovered from the illness and those who quit early is lower than that of patients who needed follow-up in medical care or stop in the middle. CONCLUSION: This article suggests that policymakers consider addressing the unequal geographical distribution of hospitals and healthcare quality to help patients avoid going to hospitals outside their regions, which may generate a financial burden for patients and lower their satisfaction with health insurance.

Alice in Suicideland: Exploring the Suicidal Ideation Mechanism through the Sense of Connectedness and Help-Seeking Behaviors.

On average, one person dies by suicide every 40 s. However, extant studies have largely focused on the risk factors for suicidal behaviors, not so much on the formation of suicidal thoughts. Therefore, we attempt to explain how suicidal thoughts arise and persist inside one's mind using a multifiltering information mechanism called Mindsponge. Bayesian analysis with Hamiltonian Markov Chain Monte Carlo (MCMC) technique was run on a dataset of multinational students (N = 268) of an international university in Japan. Item 9 in the PHQ-9 was used to survey suicidal ideation. The associations among four main variables, namely, (i) suicidal ideation, (ii) help-seeking willingness (informal and formal sources), (iii) sense of connectedness, and (iv) information inaccessibility (represented by being international students), were tested in four models. Sense of connectedness is negatively associated with suicidal ideation, but its effect becomes less impactful when interacting with international students. The impact of a sense of connectedness on informal help-seeking willingness (toward family members) among international students is also lessened. Informal help-seeking is negatively associated with suicidal ideation, whereas formal help is positive. The findings support our assumption on three fundamental conditions for preventing suicidal thoughts: (i) a high degree of belongingness, (ii) accessibility to help-related information, and (iii) healthy perceived cultural responses towards mental health. Therefore, systematically coordinated programs are necessary to effectively tackle suicidal ideation.

Top economics universities and research institutions in Vietnam: evidence from the SSHPA dataset.

Economic research is vital for creating more suitable policies to facilitate economic growth. Employing a combination of descriptive and Bayesian analyses, this paper investigates the research landscape of the economics discipline in Vietnam, in particular, the leading affiliations in the field and how these institutions compare to each other in terms of productivity, the number of lead authors, new authors and publications' journal impact factor. We also examine the differences in the authors' productivity based on their age and gender. The dataset extracted from the SSHPA database includes 1,444 articles. The findings show that among top producers of economic research in Vietnam, seven are universities, leaving only one representative of research institutes. These top producers account for 52% of research output among 178 institutes recorded in the database. We also find a correlation between a researcher's affiliation, sex, and scientific productivity in Vietnam's economic discipline. Overall, publications by male researchers outnumber those by female ones in most of the top affiliations. The findings also indicate that 40-44 is the age group with the highest scientific productivity. Researchers' collaboration, which is observed through co-authorship, is on the rise in all of the top eight economic research affiliations. However, the quality of current Vietnam's scientific works in the discipline is questionable. Therefore, it is suggested that in order to sustain scientific productivity, economic researchers might need to balance the quantity and quality of their contributions.

Adopting open access in the social sciences and humanities: evidence from a developing nation.

Open Access (OA) publishing, with ambitious movements such as Plan S, is engendering radical changes among academic publishers. Emerging countries need to keep publishing as well as adopt open access to catch up with the changes. Using exclusive data from the Social Sciences & Humanities Peer Awards (SSHPA) database, the study employed both descriptive statistics and a Bayesian linear regression model to examine the journals and publishers in which Vietnamese social scientists published during the period 2008-2019, and the potential of pursuing the OA movement in Vietnam. We found an increasing diversification in the publishing sources of Vietnamese social science researchers with growth rates of 9.8% and 14.1% per annum in the number of publishers and journals, respectively. Given that the proportion of Gold OA articles had a fourfold increase over the examined period, it seems that the Vietnamese academic community is adopting OA. Furthermore, Bayesian analysis results hint at positive associations of internal and external collaborative power (number of domestic and foreign authors, respectively) with the decision to publish in OA (ß b_TotalVN_OpenAccess = 0.22; ß b_TotalForeign_OpenAccess = 0.15). The results and its implications suggest that Vietnamese policymakers and university director boards should facilitate as well as control the quality of the scientific publishing and the OA movement.

Bayesian analysis for social data: A step-by-step protocol and interpretation.

The paper proposes Bayesian analysis as an alternative approach for the conventional frequentist approach in analyzing social data. A step-by-step protocol of how to implement Bayesian multilevel model analysis with social data and how to interpret the result is presented. The article used a dataset regarding religious teachings and behaviors of lying and violence as an example. An analysis is performed using R statistical software and a bayesvl R package, which offers a network-structured model construction and visualization power to diagnose and estimate results.•The paper provides guidance for conducting a Bayesian multilevel analysis in social sciences through constructing directed acyclic graphs (DAGs, or "relationship trees") for different models, basic and more complex ones.•The method also illustrates how to visualize Bayesian diagnoses and simulated posterior.•The interpretations of visualized diagnoses and simulated posteriors of Bayesian inference are also discussed.

What have Vietnamese scholars learned from researching entrepreneurship? A Systematic review.

This study reviews the research landscape of entrepreneurship studies done by Vietnamese researchers from 2008 to 2018. A sample size of 111 articles from 108 academic outlets (journals, conferences proceedings, and book chapters) indexed in Web-of-Science and Scopus were extracted on the SSHPA database, then read and systematically classified into 15 topics. A systematic review reveals (i) a high frequency of research on various aspects of management, (ii) a lackluster focus on innovation and creativity in entrepreneurial activities, (iii) and worrisome cultural influences on the level of creativity. Overall, there was evidence of a detachment between the academic community and the entrepreneurial community. The research landscape shows there have not been enough studies done on the following aspects of entrepreneurship: technology application, poverty reduction, network development, internationalization, inter-generational transfer, and sex/gender.

Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study.

The increasing application of Artificial Intelligence (AI) in health and medicine has attracted a great deal of research interest in recent decades. This study aims to provide a global and historical picture of research concerning AI in health and medicine. A total of 27,451 papers that were published between 1977 and 2018 (84.6% were dated 2008⁻2018) were retrieved from the Web of Science platform. The descriptive analysis examined the publication volume, and authors and countries collaboration. A global network of authors' keywords and content analysis of related scientific literature highlighted major techniques, including Robotic, Machine learning, Artificial neural network, Artificial intelligence, Natural language process, and their most frequent applications in Clinical Prediction and Treatment. The number of cancer-related publications was the highest, followed by Heart Diseases and Stroke, Vision impairment, Alzheimer's, and Depression. Moreover, the shortage in the research of AI application to some high burden diseases suggests future directions in AI research. This study offers a first and comprehensive picture of the global efforts directed towards this increasingly important and prolific field of research and suggests the development of global and national protocols and regulations on the justification and adaptation of medical AI products.

Artificial Intelligence vs. Natural Stupidity: Evaluating AI readiness for the Vietnamese Medical Information System.

This review paper presents a framework to evaluate the artificial intelligence (AI) readiness for the healthcare sector in developing countries: a combination of adequate technical or technological expertise, financial sustainability, and socio-political commitment embedded in a healthy psycho-cultural context could bring about the smooth transitioning toward an AI-powered healthcare sector. Taking the Vietnamese healthcare sector as a case study, this paper attempts to clarify the negative and positive influencers. With only about 1500 publications about AI from 1998 to 2017 according to the latest Elsevier AI report, Vietnamese physicians are still capable of applying the state-of-the-art AI techniques in their research. However, a deeper look at the funding sources suggests a lack of socio-political commitment, hence the financial sustainability, to advance the field. The AI readiness in Vietnam's healthcare also suffers from the unprepared information infrastructure-using text mining for the official annual reports from 2012 to 2016 of the Ministry of Health, the paper found that the frequency of the word "database" actually decreases from 2012 to 2016, and the word has a high probability to accompany words such as "lacking", "standardizing", "inefficient", and "inaccurate." Finally, manifestations of psycho-cultural elements such as the public's mistaken views on AI or the non-transparent, inflexible and redundant of Vietnamese organizational structures can impede the transition to an AI-powered healthcare sector.

An open database of productivity in Vietnam's social sciences and humanities for public use.

This study presents a description of an open database on scientific output of Vietnamese researchers in social sciences and humanities, one that corrects for the shortcomings in current research publication databases such as data duplication, slow update, and a substantial cost of doing science. Here, using scientists' self-reports, open online sources and cross-checking with Scopus database, we introduce a manual system and its semi-automated version of the database on the profiles of 657 Vietnamese researchers in social sciences and humanities who have published in Scopus-indexed journals from 2008 to 2018. The final system also records 973 foreign co-authors, 1,289 papers, and 789 affiliations. The data collection method, highly applicable for other sources, could be replicated in other developing countries while its content be used in cross-section, multivariate, and network data analyses. The open database is expected to help Vietnam revamp its research capacity and meet the public demand for greater transparency in science management.