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The current research elucidates the role of empathy in design of artificial intelligence (AI) systems in healthcare context, through a structured literature review, analysis and synthesis of academic literature published between 1990 and 2024.

This study aims to advance the domain of empathy in AI by adopting theory constructs context method approach using the PRISMA 2020 framework.

The study presents a current state-of-the-art literature to review the connections between empathy and AI and identifying four clusters showing the emerging trajectories in the field of AI and empathy in healthcare setting.

Despite a rise in empirical research, the potential pathways enhancing AI accountability by incorporation of empathy is unclear. The research aims to contribute to the existing literature on AI and empathy in the healthcare sector by carving out four distinct clusters depicting the future research avenues.

The ability to measure cognitive load in the workplace provides several opportunities to improve workplace learning. In recent years, virtual reality (VR) has seen an increase in use for training and learning applications due to improvements in technology and reduced costs. This study aims to focus on the use of simulation task load index (SIM-TLX), a recently developed self-reported measure of cognitive load for virtual environments to measure cognitive load while undertaking tasks in different environments.

The authors conducted a within-subject design experiment involving 14 participants engaged in digit-recall n-back tasks (1-back and 2-back) in two VR environments: a neutral grey environment and a realistic industrial ozone facility. Cognitive load was then assessed using the SIM-TLX.

The findings revealed higher task difficulty for the 2-back task due to higher mental demand. Furthermore, a notable interaction emerged between cognitive load and different virtual environments.

This study relied solely on an n-back task and SIM-TLX self-report measure to assess cognitive load. Future studies should consider including ecologically valid tasks and physiological measurement tools such as eye-tracking to measure cognitive load.

Identifying cognitive workload sources during VR tasks, especially in complex work environments, is considered beneficial to the application of VR training aimed at improving workplace learning.

This study provides unique insights into measuring cognitive load from various sources as defined by the SIM-TLX sub-scales to investigate the impact of simulated workplace environments.

The functionalities of tourist destinations as regional innovation systems (RIS) still show substantial deficits. Especially for destinations in developing countries (DC), this incurs a wicked problem when it comes to unfolding the potentials of tourism for social innovation and sustainable regional development. Determining factors for these weaknesses are manifold, complex, multi-causal and prone to inherent system-dynamics making it difficult for destination management organisations to proactively monitor and control them in the long term. Backed by empirical comparative findings from rural destinations in Azerbaijan and Ecuador, this chapter tracks down selected major drivers of this wicked problem both from a monocausal-linear and multi-causal-dynamic analytical perspective. As a primary outcome, a set of suitable indicators will be presented to serve as a monitoring framework for a social innovation governance of DC destinations.

This study aims to evaluate the delivery of a virtual community-based mental health and substance use program for Filipino drug users during the COVID-19 pandemic.

It used a randomized control longitudinal design with data collected prior to the program and every two months for 10 months. The programs focused on building recovery skills, life skills and family modules. Program length ranged from a brief intervention of three sessions to 24 sessions depending on whether clients were low risk, moderate risk or those arrested for drug use.

Results revealed significant improvements in recovery skills of participants in the treatment group compared to those in the control group. Mental health illness symptoms decreased for both control and treatment groups; however, no differences were found in recovery capital and cravings.

The lack of significant changes in certain variables, such as recovery capital, requires more data to understand the barriers to enable greater recovery. The study was limited to virtual delivery of rehabilitation services conducted during the COVID-19 pandemic. Future studies may wish to compare modalities of online and onsite delivery to enable a comparison of effectiveness.

Results suggest the feasibility of virtual delivery of mental health and substance use treatment implemented by trained paraprofessionals. However, it also highlights the necessity to build the capacity of service providers and address connectivity challenges.

Stigma and discrimination prevent people who use drugs from seeking treatment. Virtual delivery of mental health and substance use treatment can provide a platform where people can seek help while maintaining some privacy.

The study provides evidence from under-represented populations – persons who use drugs in the Philippines.

This paper aims to explore how the term “mental health literacy” (MHL) is defined and understand the implications for public mental health and educational interventions.

An extensive search was conducted by searching PubMed, ERIC, PsycINFO, Scopus and Web of Science. Keywords such as “mental health literacy” and “definition” were used. The publication year ranges from 1997 to 2023.

In total, 17 papers met the inclusion criteria. Three distinct themes characterise the definitions of MHL: cognitive understanding; affective empowerment; and behavioural change. In the mental health educational context, inspiration, transformation and practice can be viewed as three stages for curriculum development.

Despite conducting a systematic literature review, there remains the possibility that certain relevant studies may not have been identified. Specifically, the selection criteria prioritise papers that explicitly addressed MHL.

Traditional educational approaches prioritise knowledge dissemination and attitude change; integrating MHL into mental health well-being curriculum advocates for action-oriented intervention to address mental health challenges.

Understanding different definitions and concepts in a field can be valuable for consolidating shared understandings, highlighting tensions and contradictions, and enhancing communication among researchers. Ironically, perhaps, the process also highlights the provisional nature of these definitions.

The exploration of MHL with three themes of definitions sheds light on the understanding of this concept. Three core themes in MHL definitions guide future curriculum development. This study underscores the importance of prioritise action-oriented intervention in mental health education, emphasising the need to move beyond knowledge dissemination towards transformative practices that promote holistic mental well-being.

The primary objective of this chapter is to synthesize and organize prevailing theoretical perspectives on metacognition into a framework that can enhance understanding of metacognitive phenomena, with the aim of stimulating future research in the field of organizational behavior and human resources management (OBHRM). The author starts with a review of the history of metacognition research, distinguishing it from related theoretical constructs such as cognition, executive function, and self-regulation. Following this, the author outlines five constituent elements of metacognition – metacognitive knowledge, metacognitive experiences, metacognitive monitoring, a dynamic mental model, and metacognitive control – with discussions on their interrelationships and respective functions. Two approaches to metacognition, a process approach and an individual-difference approach, are then presented, summarizing key questions and findings from each. Finally, three broad directions for future research in OBHRM are proposed: examining metacognitive processes, considering mechanisms beyond learning to explain the effects of metacognition, and exploring both domain-specific and general metacognitive knowledge and skills. The implications of these research directions for personnel and human resources management practices are discussed.

Mentalization-based treatment (MBT) is a psychotherapeutic approach that aims to increase mentalizing capacity. The purpose of this meta-ethnography was to synthesize the available qualitative literature on MBT to allow for a more thorough understanding of the lived experience of those who have undergone this therapy.

A systematic search of seven databases was carried out. The Critical Appraisal Skills Programme was used to appraise the papers suitable for inclusion. The data were synthesized using a meta-ethnographic approach in which the second-order constructs from each paper were translated and reinterpreted creating a line of argument synthesis.

A total of 11 studies were included in the meta-ethnography. Three overarching themes were identified within the included papers which outlined that participant experience of MBT consisted of three different developmental stages. Navigating the therapeutic process describes the participant’s experience of the therapeutic process of MBT. The processes of change in MBT outlined participant reports of mechanisms of change experienced in MBT. Mentalizing self and others described the experience of generalizing new knowledge and skills to the world outside of therapy and unveiled the impact that engaging in MBT had on participants.

This meta-ethnography offers new insights into how clients experience MBT as a therapeutic process and offers suggestions for implementation in clinical practice as well as areas of focus for research of this therapeutic approach.

The goal of the Convention on the Rights of Persons with Disabilities (CRPD) is to secure the rights of persons with disabilities as full and equal members of society. Achieving these objectives requires appropriate and high-quality data for identifying disability gaps and areas of exclusion. Such data can be then used to develop policies and programmes to address that exclusion, and then to monitor and evaluate their effectiveness. However, researchers and policy makers face a number of challenges when collecting this data. This chapter reviews the various approaches to collecting data on disability, identifying potential sources of relevant data, including through surveys and repurposing of data collated for administrative means. It discusses at length the legal and ethical issues involved in their collection and use for alternative purposes, providing a comprehensive exploration of issues relating to participation, privacy, big data and rights of access. It concludes by suggesting ways forward for creating disability data systems that can fully support efforts to achieve a fully inclusive society.