Examining the influence of expectation disconfirmation on AI agent switching intention in mental health

AI recommendation agents increasingly mediate consumer decision-making in electronic commerce, yet algorithm-based agents often suffer credibility deficits relative to human sources. This research examines how recommendation agent type (human vs. AI) influences behavioral intentions through perceived credibility and how psychological ownership moderates this process. Across two controlled online experiments, consumers evaluated recommendations delivered by human or AI agents. Study 1 shows that baseline AI agents are perceived as less credible than human agents, while AI agents receiving minimal user involvement (naming) exhibit partially improved credibility, and that credibility mediates the effects of agent type on intention to use the system, recommendation acceptance, and purchase intention. Study 2 introduces a stronger psychological ownership manipulation through AI agent customization. Results indicate that customization strengthens psychological ownership, which reduces the credibility gap between AI and human agents and, when ownership is high, even allows AI agents to be evaluated as more credible. Conditional process analyses confirm that psychological ownership moderates both the effect of agent type on credibility and the indirect effects on behavioral intentions. Overall, the findings demonstrate that credibility toward AI recommendation agents is dynamically shaped by user–agent relational experiences. By integrating algorithm aversion, source credibility, and psychological ownership perspectives, this research advances understanding of consumer–AI interaction and provides design insights for AI-enabled recommendation systems in electronic commerce.

The purpose of this study is to present the subdivided consumption behavior of service quality in golf driving ranges by comparing and analyzing the pre-registration importance and post-registration achievement of a golf driving range to measure multi-dimensional service quality and analyzing the relationship between these factors and expectancy disconfirmation, switching benefits, and switching behavior through the structural equation model. In order to achieve this purpose, sampling was conducted with participants who registered for gold driving ranges in Gwangju and Jeollanam-do from November 16, 2009 to March 15, 2010 using the convenience sampling method. Moreover, structural equation model were used to analyze results. Finally the following conclusion was derived. First, in the relationship model between importance of service quality, expectancy disconfirmation, and switching behavior in the consumers of golf driving ranges, it was found that tangibles, reliability, assurance, and empathy had an effect on expectancy disconfirmation; expectancy disconfirmation, on switching intent; and switching benefits, on switching intent. Second, in the relationship model between achievement of service quality, expectancy disconfirmation, and switching behavior in the consumers of golf driving ranges, it was found that reliability, responsiveness, and empathy had an effect on expectancy disconfirmation; expectancy disconfirmation, on switching intent; and switching benefits, on switching intent.

With humans interacting with AI-based systems at an increasing rate, it is necessary to ensure the artificial systems are acting in a manner which reflects understanding of the human. In the case of humans and artificial AI agents operating in the same environment, we note the significance of comprehension and response to the actions or capabilities of a human from an agent's perspective, as well as the possibility to delegate decisions either to humans or to agents, depending on who is deemed more suitable for a given context. Such capabilities will ensure an improved responsiveness and utility of the entire human-AI system. To that end, we investigate the use of cognitively inspired models of behavior to predict the behavior of both human and AI agents. The predicted behavior, and associated performance with respect to a certain goal, is used to delegate control between humans and AI agents through the use of an intermediary entity. As we demonstrate, this allows overcoming potential shortcomings of either humans or agents in the pursuit of a goal.

With humans interacting with AI-based systems at an increasing rate, it is necessary to ensure the artificial systems are acting in a manner which reflects understanding of the human. In the case of humans and artificial AI agents operating in the same environment, we note the significance of comprehension and response to the actions or capabilities of a human from an agent's perspective, as well as the possibility to delegate decisions either to humans or to agents, depending on who is deemed more suitable at a certain point in time. Such capabilities will ensure an improved responsiveness and utility of the entire human-AI system. To that end, we investigate the use of cognitively inspired models of behavior to predict the behavior of both human and AI agents. The predicted behavior, and associated performance with respect to a certain goal, is used to delegate control between humans and AI agents through the use of an intermediary entity. As we demonstrate, this allows overcoming potential shortcomings of either humans or agents in the pursuit of a goal.

Research suggests that youth involved the juvenile justice system have trauma histories that are two times higher than the general youth population. Juvenile justice-involved youth also have high rates of mental health symptoms. Fewer studies have examined how trauma links to mental health symptoms among youth offenders, and even less research focuses on how mental health status and service delivery can impact their perceived likelihood for success. This study examines the effects of mental health screening and service delivery on perceived future criminal justice interactions— arrest and incarceration—among adjudicated youth (n=7,073) housed in correctional facilities. Secondary data were used to examine trauma histories, mental health needs, and mental health screening and service delivery. Significant relationships between traumatic events and mental health problems were found, along with relationships between mental health problems and mental health screening and service delivery. Most interestingly, results pointed to the strong inverse relationship between mental health service delivery and youth’s perceived likelihood for recidivism. These findings show the promise of juvenile justice systems appropriately responding to the mental health concerns of youth.

Issues in Medicaid Policy and System Transformation: Recommendations From the President's Commission

Co-production: Power, problems and possibilities.

Opportunities in mental health services research.

BackgroundThe adoption of electronic health records (EHRs) and electronic medical records (EMRs) has been slow in the mental health context, partly because of concerns regarding the collection of sensitive information, the standardization of mental health data, and the risk of negatively affecting therapeutic relationships. However, EHRs and EMRs are increasingly viewed as critical to improving information practices such as the documentation, use, and sharing of information and, more broadly, the quality of care provided.ObjectiveThis paper aims to undertake a scoping review to explore the impact of EHRs on information practices in mental health contexts and also explore how sensitive information, data standardization, and therapeutic relationships are managed when using EHRs in mental health contexts.MethodsWe considered a scoping review to be the most appropriate method for this review because of the relatively recent uptake of EHRs in mental health contexts. A comprehensive search of electronic databases was conducted with no date restrictions for articles that described the use of EHRs, EMRs, or associated systems in the mental health context. One of the authors reviewed all full texts, with 2 other authors each screening half of the full-text articles. The fourth author mediated the disagreements. Data regarding study characteristics were charted. A narrative and thematic synthesis approach was taken to analyze the included studies’ results and address the research questions.ResultsThe final review included 40 articles. The included studies were highly heterogeneous with a variety of study designs, objectives, and settings. Several themes and subthemes were identified that explored the impact of EHRs on information practices in the mental health context. EHRs improved the amount of information documented compared with paper. However, mental health–related information was regularly missing from EHRs, especially sensitive information. EHRs introduced more standardized and formalized documentation practices that raised issues because of the focus on narrative information in the mental health context. EHRs were found to disrupt information workflows in the mental health context, especially when they did not include appropriate templates or care plans. Usability issues also contributed to workflow concerns. Managing the documentation of sensitive information in EHRs was problematic; clinicians sometimes watered down sensitive information or chose to keep it in separate records. Concerningly, the included studies rarely involved service user perspectives. Furthermore, many studies provided limited information on the functionality or technical specifications of the EHR being used.ConclusionsWe identified several areas in which work is needed to ensure that EHRs benefit clinicians and service users in the mental health context. As EHRs are increasingly considered critical for modern health systems, health care decision-makers should consider how EHRs can better reflect the complexity and sensitivity of information practices and workflows in the mental health context.

Science recognizes the anxieties, depression, stress, and "turbulences" that women face in doctoral studies, but women's mental health in this context is still little addressed, even though it is a critical aspect for the well-being, persistence, and success of women doctoral candidates, who continue to be underrepresented in many professional fields. The study aims to evaluate the relationship between academic motivation, psychological capital, and university academic performance (UAP) and to identify factors of female mental health success. A cross-sectional, mixed-methods study was conducted with a sample of 108 female doctoral students from a university in Lima, during the first quarter of 2024. In the quantitative phase, three standardized scales were administered to assess academic motivation, psychological capital, and university academic performance (UAP). In the qualitative phase, interviews were conducted to gather relevant information on mental health. The findings emphasize five important points: (1) levels and the relationship between psychological capital, academic motivation, and performance, (2) motivational behavior according to study cycles, (3) risk and protection profiles, (4) protective functions, and (5) mental health success factors. The results indicate that 36% of the women have a low level of psychological capital, 34% have a medium level of academic motivation, and 37% have a high level of UAP, likewise "Intrinsic Motivation toward Accomplishment" is the positive core where most of these women converge. Significant differences were found between the study cycles with academic motivation and "University Academic Performance," and a significant gap between these variables. The risk profile (which limits performance) and the protective profile which allows high performance are determined; this positive profile is identified by women who present a high level of "Self-efficacy." The study demonstrates that "Psychological Capital" and "Academic Motivation" along with the dimensions of "Self-efficacy" and "Intrinsic Motivation to Experience Stimulation" serve protective functions. Fourteen success factors for women's mental health were identified and organized into four main approaches: Optimism, Hope, Resilience, and Self-efficacy. Limitations and future projections are discussed. The practical implications include implementing psychological support programs, fostering intrinsic motivation, integrating psychological assessments, establishing support networks, and making tailored curricular adjustments.

Search and Rescue Operations (SRO) are notoriously difficult as they typically involve human operations in high risk and low visibility environments. Often, stakeholders only have a general perception of the possible adversities in the situational environment. Ultimately, the success of these operations is a function of the manpower available, the terrain of the region, informed-decision-making based on terrain mapping and objective success in completion of search and rescue tasks with lower human casualties. A practical solution to this problem is to leverage the use of autonomous systems such as drones and rescue robots that can scout the terrain to gather information to augment the rescue team’s capabilities and mission success rates. In situations, such as a combat search and rescue mission, the mission might call for a cooperative effort between a Human and AI Agent, whereby both are able to share intelligence and coordinate in decision-making tasks. In this work, we present several novel contributions through a combat search and rescue simulation scenario that leverages a drone-based AI autonomous system for detection of targets-of-interest in the environment as a basis for human-AI teaming study. In this research, we examine various human factor metrics for different modes of interactions between the human agent and AI-driven drone/autonomous system agent to include implications on human mission completion with and without drone-based AI target detection-derived human situational awareness and time to mission completion. In addition, we introduce innovative AI techniques to model human agent (player) - AI agent (drone) exchanges through a hostage rescue scenario-based simulation and explore incentive strategies directed towards the human agent to encourage adoption of AI-based autonomous system as a cooperative intelligence asset and improve human-AI teaming performance. The unification of both AI techniques to model Human-AI interaction and incentive mechanisms to encourage usage of autonomous systems sets the foundation for assessing the efficacy of AI in Human Agent Teams.

It is important for tourism online marketplace to ensure potential tourists continually use their services as an alternative to find and purchase travel packages. Hence, the factors that influence customers’ negative behaviors, such as switching intention, complaints, and negative WOM are critical to be understood. This research explores the antecedents of tourist customers’ negative behaviors, using expectancy disconfirmation theory (EDT) as its theoretical lens, and IS success model as the initial quality precursors. The research gathered 81 sample, whom were active users of a tourism eMarketplace from the greater Jakarta region. The quantitative data was then analyzed using PLS-SEM. The results showed that quality disconfirmation served as a key antecedent of customers’ negative emotions, which in turn will lead to their negative behaviors. More specifically, disconfirmation in information quality may prompt customers’ regret, which then leads to negative WOM. Finally, systems quality disconfirmation triggers customers’ anger, which then elicits a number of negative behaviors such as switching intention, complaints and negative WOM.

This study investigates how customer satisfaction serves as a mediating factor in the relationship between product quality and consumers’ intention to switch to modern furniture, while considering age as a moderating variable. Despite high satisfaction with traditional furniture, an increasing number of consumers, particularly younger ones, are showing a tendency to switch to modern furniture due to its functional design, affordability, and contemporary appeal. Grounded in the Expectation-Disconfirmation Theory and Generational Cohort Theory, this research employs a quantitative method using survey data from 200 respondents who have experience purchasing traditional furniture study utilized PLS-SEM as the primary analytical method to examine the proposed research model. The results show that product quality positively and significantly affects customer satisfaction and negatively influences switching intention. Furthermore, customer satisfaction has a significant negative effect on switching intention and serves as a mediating variable in the relationship between product quality and switching intention. Moderation analysis reveals that age moderates the indirect relationship: younger consumers are more likely to switch to modern furniture even when satisfied with traditional products, whereas older consumers tend to remain loyal.

This conceptual review delves into the dynamics of the African workforce, influenced by trends such as remote work, multigenerational employees, and the growing importance of employee mental health support. The adoption of remote work in Africa presents both challenges and opportunities. Limited access to reliable internet infrastructure and disparities in digital inclusion are hurdles, yet it brings benefits such as increased job opportunities and better work-life balance. The multigenerational workforce in Africa, composed of various generations, can lead to communication barriers and differing expectations, but it also offers potential for innovation and creativity. Recognizing the significance of mental health in the African context, organizations should prioritize support programs to boost employee well-being and productivity. The review discusses emerging trends like clean technology, gender inclusivity, international business opportunities, global marketing strategies, and global best practices in human resource management. The methodology involved a systematic literature search and analysis. This review, while acknowledging its knowledge cut-off date in September 2021, provides recommendations for enhancing digital infrastructure, promoting intergenerational understanding, implementing mental health support, embracing clean technology, fostering gender inclusivity, analyzing international business opportunities, implementing global marketing strategies, and incorporating global best practices in human resource management. By addressing these aspects, African organizations and policymakers can navigate these workforce transformations effectively.

Byline: Rajen. Prasad, Anand. Satyanand Mr President, chief guest of the day, chairman, distinguished delegates, ladies and gentlemen, at the outset we extend the warm greetings to you all from the people of New Zealand, a fellow Commonwealth country with who India has very many close links in terms of diaspora, education, sport and tourism. May we offer congratulations to the new President for his insightful and inspirational comments just delivered. His comments would be apt in any Commonwealth country and is a reflection of his enormous grasp of what needs to happen in the mental health space globally. It is a matter of considerable regret that my colleague and friend, Sir Anand Satyanand, has been prevented from being with you today to deliver this plenary address. This has been occasioned by a temporary illness resulting in medical advice not to travel for a few weeks. The address I shall now deliver can be described as a joint production of Sir Anand Satyanand's work with some input from myself based on my own background in social policy and social work, human rights, public policy, as a parliamentarian, and most recently as a Commonwealth Special Envoy to Lesotho in Southern Africa. Since Sir Anand Satyanand and I are not medical doctors, we are intrigued, humbled, and very appreciative of the fact that you would include us in your deliberations at this conference. You administer in an arena that is vast in its geography, extensive in its historical time frame, populous, diverse, and with a very large diaspora of which Sir Anand and I are but two. We trust that the perspective we bring satisfies our brief and provides some challenge to your thinking. The brief in this address is to identify some contemporary issues for the delivery of mental health services in Commonwealth countries. As a peak organization of psychiatrists, your interest is in change, change to the way in which mental health is perceived and in the range of services that are offered to your patients. What this address advances is a broad framework for considering contemporary issues in the delivery of mental health services that may be useful as you individually and collectively review your priorities for advocacy and take on new challenges for the future. We start with a description of the contemporary international context of mental health. We then follow a simple organizing framework for our discussion. First, we address overarching issues (macro dimensions of mental health). They are the place in medical and community consciousness of mental health and second, the ever-present threat of corruption of systems and practices which thwart efforts of improvement. We then discuss the policy context of the delivery of mental health services, the community context, and finally the family context. While we focus primarily on the macro challenges we have included the other challenges for the sake of completeness and to acknowledge that practitioners and organizations like yours have the ability to take effective action at many levels concurrently. We want to begin by setting out the broad context in which mental health is practiced. The world's population today is more than 7 billion. In the year 2005, it was 6.5 billion and in 10 years' time in 2025, it will have reached 8 billion. All of you as medical practitioners in the psychiatric field will know that in all countries, people with mental disabilities represent a significant proportion of this number. It will be accepted that mental health conditions apply worldwide and that one in four people will experience a mental health condition in their lifetime. Globally, the World Health Organization estimates 450 million people suffer from mental disorders. Dementia, schizophrenia, depression, and addiction make up the bulk of this. One million people die due to suicide each year. Suicide is the third leading cause of death among young people. …