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The purpose of this paper is to identify three key areas where autistic people may find themselves impacted through COVID-19, namely, education; employment; and anxiety.

This paper provides some views based on the extensive experience of using immersive technologies for the utilisation and application with autistic groups during COVID-19.

This paper offers some examples of immersive technology application that might be helpful for practitioners, services and others to consider in overcoming possible challenges faced by people with autism.

This opinion piece offers expert insights to the role immersive technologies and virtual reality might play during COVID-19 in the lives of autistic groups.

The purpose of this paper is to present evaluation findings from a proof-of-concept virtual reality adaptive skills intervention called Virtuoso, designed for adults with autism spectrum disorders.

A user-centric usage test was conducted to investigate the acceptability, feasibility, ease-of-use and relevance of Virtuoso to the unique needs of participants, as well as the nature of participants’ user experiences. Findings are presented from the perspectives of expert testers and participant testers with autism.

This paper offers findings that suggest Virtuoso is feasible and relevant to the unique needs of the target population, and that user experience was largely positive. Anecdotal evidence of skills transfer is also discussed.

The research was conducted in limited settings and with a small number of participants. Multiple VR hardware systems were used, and some experienced instability. This could be accounted for in future research by deploying across multiple settings and with a larger number of participants. Some evidence of cybersickness was observed. Future research must carefully consider the trade-offs between VR-based training and cybersickness for this vulnerable population.

This paper reports on cutting-edge design and development in areas that are under-represented and poorly understood in the literature on virtual reality for individuals with autism.

This article provides a review and conceptual comparison between self‐report and performance‐based measures of emotional intelligence. Analyses of reliability, psychometric properties, and various forms of validity lead to the conclusion that self‐report techniques measure a dispositional construct, that may have some predictive validity, but which is highly correlated with personality and independent of intelligence. Although seemingly more valid, performance‐based measures have certain limitations, especially when scored with reference to consensual norms, which leads to problems of skew and restriction of range. Scaling procedures may partially ameliorate these scoring weaknesses. Alternative approaches to scoring, such as expert judgement, also suffer problems since the nature of the requisite expertise is unclear. Use of experimental paradigms for studying individual differences in information‐processing may, however, inform expertise. Other difficulties for performance‐based measures include limited predictive and operational validity, restricting practical utility in organizational settings. Further research appears necessary before tests of E1 are suitable for making real‐life decisions about individuals.

This chapter examines EI, presents a history of EI including the various models, and a discussion of the three streams approach to classifying EI literature. The author advocates for the efficacy of the Stream One Ability Model (SOAM) of EI citing previous authors and literature. The commonly used SOAM instruments are discussed in light of recent studies. The discussion turns to alternate tests of the SOAM of EI including Situational Judgment Tests (SJTs). Recommendations include an analysis of SOAM instruments, a new approach to measurement, and increased use of SJTs to capture the four-branch ability model of EI.

Allocation of individuals' resources among multiple goals is an increasingly prominent theoretical and practical issue. Despite several theoretical perspectives that highlight the potential role of affect in this resource allocation process, empirical work on the topic is quite limited with little focus on the activation dimension of affect. This study aimed to provide further insight into this issue.

The current research explored the role of the activation dimension of affect in a multiple-goal environment. Specifically, 118 individuals participated in a 21-day longitudinal study in which they reported on affect and resource allocation related to two real-life goals.

Multilevel-modeling analyses indicated that activation positively relates to allocation of resources (effort, intended effort, and intended time devoted to a goal). The results also illustrate that task-related negative valence is a significant predictor for two of the three indicators of resource allocation (intended effort was the exception).

This research informs theory and practice at the intersection of emotion and work motivation by investigating a relatively understudied dimension of affect and provides results that help clarify the role of affect during the pursuit of multiple, competing goals.

Emotional intelligence (EI) has been embraced by many practitioners and academicians without clear empirical support for the construct. In this rejoinder and extension of an earlier comment, I highlight the importance of using methodologically defensible scientific criteria for conducting or evaluating research. I review literature demonstrating that EI models are beset with problems concerning their validity and show that support for the EI construct may be based more on tangential speculation than on empirical findings. Although I find some common positions with EI researchers such as Prati et al., I underline contradictions and inconsistencies which may cast doubt on the necessity of EI for understanding and predicting leadership effectiveness.

The purpose of this paper is to develop an analytical framework toward facilitating the quantitative measurement of interdisciplinary understanding regarding sustainable energy systems with an application in the area of capacity-building projects in higher education.

The analytical framework is developed using the portfolio representation measurement approach in combination with a survey questionnaire. The subsequent assessment is carried out using the statistical measure of mean signed deviation to capture variation from an established baseline across the project group and visualized via radar diagrams.

The results provide a quantitative assessment framework for evaluating the degree of interdisciplinary understanding in the project groups. The application of the framework to the DESIRE project indicates the most significant degree of variation across economic and regulatory dimensions of sustainability. Discrepancies in general and educational contexts are observed.

The exploitable value of the results is sensitive to the derivation of composite indicators of the dimensions defined as well as the survey design. The case study was carried out on an ex-post basis, potentially biasing the results reported and limiting their interpretability and theoretical value.

The analytical framework can be used as a basis for assessing and engaging in discussions on interdisciplinarity understanding at the outset of capacity-building projects.

The contribution of this paper is practical in scope and entails the development of a quantitative framework for measuring interdisciplinarity in the specific context of capacity-building projects in the field of sustainability research in higher education institutions.

Introduced into the literature a decade ago, grit originally defined as perseverance and passion for long-term goals has stimulated considerable research on positive effects primarily in the academic and military contexts, as well as attracted widespread media attention. Despite recent criticism regarding grit’s construct and criterion-related validity, research on grit has begun to spill over into the work context as well. In this chapter, the authors provide an overview of the initial theoretical foundations of grit as a motivational driver, and present newer conceptualizations on the mechanisms of grit’s positive effects rooted in goal-setting theory. Furthermore, the authors also draw attention to existing shortcomings of the current definition and measurement of grit, and their implications for its scientific and practical application. After establishing a theoretical understanding, the authors discuss the potential utility of grit for human resource management, related to staffing and recruitment, development and training, and performance management systems as well as performance evaluations. The authors conclude this chapter with a discussion of necessary and potential future research, and consider the practical implications of grit in its current state.

Not all pressured, greedy, and opportunistic individuals actually commit white-collar crime. So what exactly is the common denominator for individuals to commit white-collar crime? This study investigates the propensity of an individual to commit white-collar crime and advances personality as an explanatory factor. Questionnaire survey data is collected from 357 undergraduate accounting students in a later year accounting course at a large university in Australia. Personality is measured using the Big Five Inventory. Support is provided for the view that individuals scoring lower in agreeableness and lower in conscientiousness have a higher propensity to commit white-collar crime. While no significant main effect associations emerged for extraversion, neuroticism, or openness to experience, inspection of individual parameter estimates revealed a significant negative association between neuroticism and propensity to commit white-collar crime but only in certain circumstances.