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The purpose of this paper is to assess the effects of presence on users’ information processing in mediated visualizations using immersive virtual reality (VR) and websites, focusing on information understanding and cognitive load. The impact of user interfaces on users’ perception of presence is also tested.

A between-subjects laboratory experiment using two user interfaces – immersive VR and website – is carried out. It is complemented by a self-administered survey on the participants.

The current results indicate that an immersive VR interface improves tourists’ information processing by producing a heightened sense of presence. The results confirm that presence facilitates tourists’ information processing by increasing information understanding and decreasing cognitive load. Finally, a negative relationship between cognitive load and information understanding is obtained.

VR user interfaces are not only visually appealing but also cognitively optimized. Immersive VR devices can be introduced in the specific sale process of cruise trips through both offline channels (physical stores and travel agencies) and online channels to facilitate tourists’ information processing during the prepurchase phase.

The primary contribution lies in the integration of the theory of presence with two influential information processing frameworks, namely, cognitive load theory and cognitive fit theory. This integration provides a holistic perspective on how user interfaces influence consumer information processing in the unique context of cruise tourism, particularly during the stage of a prepurchase information search.

Enforcing employee compliance with information systems security policies (ISSP) is a herculean task for organizations as security breaches due to non-compliance continue to soar. To improve this situation, researchers have employed fear appeals that are based on protection motivation theory (PMT) to induce compliance behavior. However, extant research on fear appeals has yielded mixed findings. To help explain these mixed findings, the authors contend that efficacy formation is a cognitive process that is impacted by the cognitive load exerted by the design of fear appeal messages.

The study draws on cognitive load theory (CLT) to examine the effects of intrinsic cognitive load, extraneous cognitive load and germane cognitive load on stimulating an individual’s efficacy and coping appraisals. The authors designed a survey to collect data from 359 respondents and tested the model using partial least squares.

The analysis showed significant relationships between cognitive load (intrinsic, extraneous, and germane) and fear, maladaptive rewards, response costs, self-efficacy and response efficacy.

This provides support for the assertion that fear appeals impact the cognitive processes of individuals that then in turn can potentially affect the efficacy of fear and coping appraisals. These findings demonstrate the need to further investigate how individual cognition is impacted by fear appeal design and the resulting effects on compliance intention and behavior.

As the role of AI on human teams shifts from a tool to a teammate, the implementation of AI teammates into knowledge-intensive crowdsourcing (KI-C) contest teams represents a forward-thinking and feasible solution to improve team performance. Since contest teams are characterized by virtuality, temporality, competitiveness, and skill diversity, the human-AI interaction mechanism underlying conventional teams is no longer applicable. This study empirically analyzes the effects of AI teammate attributes on human team members’ willingness to adopt AI in crowdsourcing contests.

A questionnaire-based online experiment was designed to perform behavioral data collection. We obtained 206 valid anonymized samples from 28 provinces in China. The Ordinary Least Squares (OLS) model was used to test the proposed hypotheses.

We find that the transparency and explainability of AI teammates have mediating effects on human team members’ willingness to adopt AI through trust. Due to the different tendencies exhibited by members with regard to three types of cognitive load, nonlinear U-shaped relationships are observed among explainability, cognitive load, and willingness to adopt AI.

We provide design ideas for human-AI team mechanisms in KI-C scenarios, and rationally explain how the U-shaped relationship between AI explainability and cognitive load emerges.

This paper explores the cognitive impacts of social media on employees in workplace environments, focusing on how digital interactions disrupt cognitive functions and employee engagement. It bridges theoretical models of cognitive psychology with practical human resource (HR) strategies to mitigate these effects.

The methodology includes a review of relevant cognitive and psychological theories – namely cognitive load theory (Sweller, 1988), distraction-conflict theory (Baron, 1986), and engagement theory (Schaufeli et al., 2002). The discussion extends to practical interventions such as policy adjustments, employee training and technological solutions, assessing their application within organizational contexts to address social media challenges.

The research findings have significant practical implications. The author reveals that continuous social media notifications can lead to distraction conflicts and decreased employee engagement, impacting cognitive load. Effective HR interventions, such as clear guidelines, digital detox initiatives and technology-based social media access control, can enhance focus and productivity, improving workplace outcomes.

This paper contributes to discussions on social media’s role in workplace dynamics by combining cognitive psychological theories with practical HR applications. It presents a structured approach to understanding and managing digital distractions, offering a new framework for organizations aiming to balance technological advancements with employee well-being.

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 study integrated understanding by design-Internet of Things (UbD-IoT) education with design thinking and computational thinking to plan and design an IoT course. Cross-domain application examples were employed to train students in problem-understanding, deep thinking and logical design for IoT applications.

In this study, the UbD model was integrated with design thinking and computational thinking in the planning and design of an IoT course. The examples of cross-domain applications were used to train students to understand a problem by engaging themselves in deep thinking and helping them think and design logically for an IoT application.

The UbD-IoT learning design greatly decreased students' overall cognitive load. UbD-IoT learning has a significant impact on the performance of computational thinking in problem-solving and problem-understanding. The impact of UbD-IoT learning on logical thinking and program learning cognition in students needs to be verified.

The results of this study have shown that the UbD model is effective in reducing the cognitive load of a learning course and also strengthens T-competencies in the lateral skills of computational thinking, critical problem-solving, logical thinking and creative thinking.

An understanding of the role of decision-making has been emphasised since the seminal works on human information processing and professional judgements by accountants. The interest in these topics has been reignited by the increasing digitisation of the financial reporting and auditing processes. Whilst the behavioural research on accounting is well-established, the application of seminal works in cognitive psychology and behavioural finance is lacking, especially from recent research endeavours. The purpose of this paper is to provide a synthesis of theories relating to accounting behavioural research by evaluating them against the theories of cognitive psychology.

Using theory synthesis, this research draws seemingly isolated strands of research into a coherent framework, underpinned by cognitive psychology.

Evidence from accounting and auditing behavioural research is largely consistent with the psychology and finance research on cognitive limitations and errors. There remains a lacuna in accounting behavioural research on debiasing techniques. Such research, if underpinned by a single, cohesive theoretical framework, is likely to have practical relevance.

The current research has theoretical implications for the accounting decision-making and uncertainty research. Areas for future research, based on identified gaps in the current accounting behavioural research, are also proposed.

This study aims to discover how domain familiarity and language affect the cognitive load and the strategies applied for the evaluation of search engine results pages (SERP).

This study used an experimental research design. The pattern of the experiment was based upon repeated measures design. Each student was given four SERPs varying in two dimensions: language and content. The criteria of students to decide on the three best links within the SERP, the reasoning behind their selection, and their perceived cognitive load of the given task were the repeated measures collected from each participant.

The evaluation criteria changed according to the language and task type. The cognitive load was reported higher when the content was presented in English or when the content was academic. Regarding the search strategies, a majority of students trusted familiar sources or relied on keywords they found in the short description of the links. A qualitative analysis showed that students can be grouped into different types according to the reasons they stated for their choices. Source seeker, keyword seeker and specific information seeker were the most common types observed.

This study has an international scope with regard to data collection. Moreover, the tasks and findings contribute to the literature on information literacy.

This volume has sought to identify the benefits of using cognitive psychology in understanding the tourist experience. It discusses areas where tourism researchers should be cautious in applying cognitive psychology. Certainly, t scholars must understand the assumptions, criticisms and limitations of cognitive theories and associated data collection techniques. Cognitive psychology is a dynamic field with alternative theoretical perspectives and emerging debates. This volume discusses particular mainstream ideas, such as cognitive appraisal theory and seeks to identify their relevance and identifies difficulties and perceived limitations scholars discover in exploring this new field.

This research sought to examine the potential association between workers’ financial worry and counterproductive work behavior. Based on the basic psychological need theory, we propose that psychological need satisfaction explains this relationship and we position this volitional pathway as an alternative to a cognitive capacity pathway based on the cognitive load theory.

We conducted a two-week interval-lagged survey study with three measurement points among 180 US workers. The mediation models were tested using structural equation modeling.

The results support the conclusion that, while cognitive capacity could have an impact on counterproductive work behavior, its mediating effect is less strong than that of need satisfaction.

Based on the results, we recommend that organizations design their compensation and benefits system to shield employees from financial worries. At the same time, we advise offering the employees who do experience financial worries assistance in managing their budgets and offering other forms of financial coaching.

This study is innovative because we show that the negative effects of financial worry extend much further than initially thought and affect not only employees' cognition but also their motivation.