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This paper presents a survey of research into interactive robotic systems for the purpose of identifying the state of the art capabilities as well as the extant gaps in this emerging field. Communication is multimodal. Multimodality is a representation of many modes chosen from rhetorical aspects for its communication potentials. The author seeks to define the available automation capabilities in communication using multimodalities that will support a proposed Interactive Robot System (IRS) as an AI mounted robotic platform to advance the speed and quality of military operational and tactical decision making.

This review will begin by presenting key developments in the robotic interaction field with the objective of identifying essential technological developments that set conditions for robotic platforms to function autonomously. After surveying the key aspects in Human Robot Interaction (HRI), Unmanned Autonomous System (UAS), visualization, Virtual Environment (VE) and prediction, the paper then proceeds to describe the gaps in the application areas that will require extension and integration to enable the prototyping of the IRS. A brief examination of other work in HRI-related fields concludes with a recapitulation of the IRS challenge that will set conditions for future success.

Using insights from a balanced cross section of sources from the government, academic, and commercial entities that contribute to HRI a multimodal IRS in military communication is introduced. Multimodal IRS (MIRS) in military communication has yet to be deployed.

Multimodal robotic interface for the MIRS is an interdisciplinary endeavour. This is not realistic that one can comprehend all expert and related knowledge and skills to design and develop such multimodal interactive robotic interface. In this brief preliminary survey, the author has discussed extant AI, robotics, NLP, CV, VDM, and VE applications that is directly related to multimodal interaction. Each mode of this multimodal communication is an active research area. Multimodal human/military robot communication is the ultimate goal of this research.

A multimodal autonomous robot in military communication using speech, images, gestures, VST and VE has yet to be deployed. Autonomous multimodal communication is expected to open wider possibilities for all armed forces. Given the density of the land domain, the army is in a position to exploit the opportunities for human–machine teaming (HMT) exposure. Naval and air forces will adopt platform specific suites for specially selected operators to integrate with and leverage this emerging technology. The possession of a flexible communications means that readily adapts to virtual training will enhance planning and mission rehearsals tremendously.

Interaction, perception, cognition and visualization based multimodal communication system is yet missing. Options to communicate, express and convey information in HMT setting with multiple options, suggestions and recommendations will certainly enhance military communication, strength, engagement, security, cognition, perception as well as the ability to act confidently for a successful mission.

The objective is to develop a multimodal autonomous interactive robot for military communications. This survey reports the state of the art, what exists and what is missing, what can be done and possibilities of extension that support the military in maintaining effective communication using multimodalities. There are some separate ongoing progresses, such as in machine-enabled speech, image recognition, tracking, visualizations for situational awareness, and virtual environments. At this time, there is no integrated approach for multimodal human robot interaction that proposes a flexible and agile communication. The report briefly introduces the research proposal about multimodal interactive robot in military communication.

While there is anecdotal evidence that internationally mobile workers often form isolated nation-based communities or “expatriate bubbles,” previous academic scholarship on the expatriate communities and their subjective boundaries is limited. The primary purpose of this article is to advance the theoretical or conceptual understanding of expatriate communities as bubbles.

As developed by Lamont and Molnár (2002), the theory of symbolic boundaries is applied and set to scrutinize the production and maintenance of insulated expatriate communities. Empirically, an ethnographic study of a community of Finnish expatriates in a Southeast Asian country is undertaken to describe how symbolic boundaries are constructed.

The main theoretical implication of the paper is the recognition that expatriates themselves are involved in creating the “bubble.” The boundaries separating the national expatriate community are not externally imposed but can be viewed as consequences of the active boundary work of the expatriates. The empirical study demonstrates how the Finnish expatriates negotiated the symbolic boundaries of their community, drawing on cultural, moral and spatial modalities in different levels of boundary work.

There need to be more systematic attempts to develop a theoretically grounded understanding of insulated expatriate communities and their boundaries. This article contributes to the sociological conceptualization of expatriate bubbles by utilizing the symbolic boundary approach, which adds perspective to the embryonic theory of the subjective boundaries of expatriate communities. The multiplicity of different types of symbolic boundaries and their modalities suggests that an expatriate bubble is rarely a finished state or structure.

This review aimed to identify and map published studies on self-care practices to manage common acute health conditions in the Philippines.

The authors conducted a scoping review in PubMed, Scopus, Cumulative Index of Nursing and Allied Health Literature (CINAHL), ProQuest Central, Journal Storage (JSTOR) and the Philippine Council for Health Research and Development – Health Research and Development Information Network (HERDIN). The authors included all studies on self-care practices to manage common acute conditions, namely low back pain, allergic rhinitis, general acute pain, cough, cold, diarrhea, constipation and stress, published up to 2021 in the Philippines. Information on the article type, aim of the study, study design and setting, population characteristics and size, and self-practices employed for the conditions were extracted and synthesized.

The authors identified various self-care practices for acute conditions among the general population and indigenous peoples in the Philippines from 26 studies included in the review: the use of medicines with and without a prescription, appropriate and inappropriate antibiotic use, use of medicinal plants and other traditional and alternative therapies and products, recreational activities and healthy habits and behaviors, and self-management or seeking care from traditional healers (albularyo or manggagamot) or health professionals. A number of considerations influenced their decision on how to manage symptoms, including perceived severity of the condition, availability and perceived effectiveness of treatment, cost, and advice from trusted sources of health information.

The authors searched five major databases and a local research database, but some studies may still have been missed in the review. The review also excluded intervention studies on the outcomes of self-care, which limits the authors' ability to make conclusions on the effectiveness of the different modalities of self-care.

Filipinos engage in a variety of “safe” (or evidence-informed) and “unsafe” (or harmful) self-care practices. While the term “self-care” is not routinely used by the general population and health providers, it is widely enculturated and practiced in the Philippines. Self-care benefits individuals and the health system, but there are also practices that increase risk of adverse outcomes and death including inappropriate antibiotic use, prescription sharing and reuse, and delays in seeking adequate treatment from a health professional. To leverage on self-care in advancing Universal Health Coverage (UHC) goals, the authors recommend a national strategy that provides guidance on how to practice responsible self-care, further research on the effectiveness and safety of alternative medicine and other priority areas, and better integration of self-care in the formal education and health systems. The authors also propose that the research agenda on self-care include acute health conditions, given their impact and burden on health and the economy.

This is the first published review of self-care practices for managing common acute health conditions, which captured practices of various groups and populations including indigenous peoples.

The purpose of this paper is to analyze whether companies that contracted loans from the Brazilian National Bank for Economic and Social Development (BNDES) between 2002 and 2014 were able to invest more than companies that did not. The literature on financial constraints, particularly that based on the investment-cash flow sensitivity model, is among the most studied and controversial in the area of finance, and the discussion on the role of development banks is equally controversial.

The main econometric model of this study was based on the investment-cash flow sensitivity model, with the incorporation of a binary variable that captures the role of the BNDES. This model is applied to a sample of companies listed on the B3 from 2002 to 2014.

This study shows that loans from the BNDES amplify the effects of cash flow on investments, generating a kind of credit multiplier. An important role of development banks is to reduce the financial constraints typical of developing countries.

The use of the cash flow sensitivity model in companies that contracted loans from the BNDES is a relevant instrument to test the effect of the BNDES on companies with financial constraints.

The contracting of BNDES loans by companies can affect both capital structure and cash generation, particularly in companies or years in which there was financial constraint.

Due to the nature of the BNDES as a development bank, there are ramifications in terms of the generation of employment and income inherent to the mission of this type of institution. Knowing the multiplier effect on the cash flow potential of companies has a direct impact on their preservation, enabling them to maintain and expand the supply of jobs.

This study is the first to integrate two important areas of study. From the theoretical perspective, this study provides evidence on the relationship between the BNDES and company financial constraints that open new avenues of research. From the managerial point of view, the evidence of the multiplier effect is highly important for the management of the capital structure and cash flow of companies.

Touch plays an important role in the evaluations of products. However, prior quantitative touch research does not present a holistic perspective of haptics. This study aims to provide a more comprehensive understanding of haptic information that consumers attain from touch.

Adopting a qualitative research approach, semi-structured, depth interviews were conducted with industry experts.

Based on the findings, this research proposes a conceptual model of consumer haptic perception consisting of seven key influences, namely, the effects of haptic sensation, haptic perception, the influence of individual factors, the influence of external environmental factors, the multi-dimensionality of haptics, haptic cue congruity and haptic dominance.

This study suggests firms to understand the importance of consumers’ haptic perception as an opportunity to engage an individual’s heart and mind through information attained through touch.

This is the first study in marketing to propose a conceptual model of haptics comprising several new haptic influences. This model contributes to the emerging literature of sensory marketing by providing directions for future touch research by capturing the dynamic nature of haptics.

El tacto desempeña un papel importante en nuestras evaluaciones de los productos. Sin embargo, las investigaciones cuantitativas anteriores sobre el tacto no presentan una perspectiva holística de la percepción táctil. Este artículo pretende ofrecer una comprensión más completa de la información táctil que los consumidores obtienen del contacto.

Adoptando un enfoque de investigación cualitativa, se realizaron entrevistas semiestructuradas en profundidad con expertos del sector.

A partir de los resultados, esta investigación propone un modelo conceptual de la percepción táctil del consumidor que consta de siete influencias clave: Los efectos de la sensación háptica, la percepción háptica, la influencia de los factores individuales, la influencia de los factores ambientales externos, la multidimensionalidad de la sensación táctil, la congruencia de las pistas táctiles y la dominancia de la sensación táctil.

Este estudio sugiere a las empresas que comprendan la importancia de la percepción táctil de los consumidores como una oportunidad para captar el corazón y la mente del individuo a través de la información obtenida mediante el tacto.

Este es el primer estudio en marketing que propone un modelo conceptual de la percepción táctil que incluye varias influencias táctiles nuevas. Este modelo contribuye a la literatura emergente del marketing sensorial proporcionando direcciones para la futura investigación táctil al capturar la naturaleza dinámica del sentido del tacto.

触摸在我们对产品的评价中起着重要作用。然而, 在先前定量的触觉研究中并未呈现触觉的整体视角。本文旨在更全面地了解消费者通过触摸获得的触觉信息。

本文采用定性研究方法, 与行业专家进行了半结构化的深度访谈。

本研究提出了一个消费者触觉感知的概念模型, 其中包括七个关键影响因素：触觉的影响、触觉感知、个人因素的影响、外部环境因素的影响、触觉的多维性、触觉线索的一致性和触觉的主导性。

这项研究建议企业了解消费者触觉感知的重要性, 并将触觉信息传达作为吸引消费者心灵的机会。

这是营销领域首次提出触觉概念模型的研究, 该模型包含几种新的触觉影响因素。这个触觉概念模型通过捕捉触觉的动态特性为未来的触觉研究提供方向, 从而为新兴的感官营销文献做出了贡献。

This paper aims to explore how unreflective and reflective value experience emerges in value co-creation and co-destruction practices in a consumer context.

This paper presents a Heideggerian phenomenological heuristic consisting of three interrelated modes of engagement, which is used for interpretive sense-making in a dynamic and lively case context of amateur-level football (soccer) played on artificial grass. Based on a qualitative study using ethnographic techniques, this study examines the whats and the hows of value experience by individuals playing football at different qualities and in varying conditions across 25 Dutch football teams.

The findings reveal three interrelated yet distinct modalities of experience in value co-creation and co-destruction presented in a continuum of triplex spaces of unreflective and reflective value experience. The first is a joyful flow of unreflective value experience in emergent and undisrupted value co-creation practice with no potential for value co-destruction. Second, a semireflective value experience caused by interruptions in value co-creation has a higher potential for value co-destruction. Third, a fully reflective value experience through a completely interrupted value co-creation practice results in high-value co-destruction.

This research contributes to the literature on the microfoundations of value experience and value creation by proposing a conceptual relationship between unreflective/reflective value experience and value co-creation and co-destruction mediated through interruptions in consumer usage situations.

This study’s novel perspective on this relationship offers practitioners a useful vantage point on understanding how enhanced value experience comes about in value co-creation practice and how this is linked to value co-destruction when interruptions occur. These insights help bolster alignment and prevent misalignment in resource integration and foster service strategies, designs and innovations to better influence consumer experience in journeys.

This study deploys an integral view of how consumer value experience manifests in value co-creation and co-destruction that offers conceptual, methodological and practical clarity.

This study explores ongoing research into self-mapped learning pathways that students utilize to move through a course when given two modalities to choose from: one that is instructor-led and one that is student-directed.

Process mining analysis was utilized to examine and cluster clickstream data from an online college-level History course designed with dual modality choices. This paper examines some of the results from different approaches to clustering the available data.

By examining how often students interacted with others, whether they were more internal or external facing with their pathway choices, and whether or not they completed a learning pathway, this study identified five general tactics from the data: Individualistic Internal; Non-completing Internal; Completing, Interactive Internal; Completing, Interactive, and Reflective and Completing External. Further analysis of when students used each tactic led to the identification of four different strategies that learners utilized during class sessions.

The results of this analysis could potentially lead to the creation of customizable design models that can assist learners as they navigate modality choices in learner-centered or less-structured learning design methodologies.

Few courses are designed to give the learners the options to follow the instructor or create their own learning pathway. Knowing how to identify what choices a learner might take in these scenarios is even less explored. Preliminary data for this paper was originally presented as a poster session at the Learning Analytics and Knowledge conference in 2019.

This qualitative study explores how trailing spouses form their relationships before and after a crisis such as the COVID-19 pandemic and what patterns can be observed. It explores their significant relationships with friends and extended family, focusing on dynamics and change.

The authors conducted semi-structured interviews with seven trailing spouses in Malaysia: before the pandemic, in the beginning and at the end of the first year of the pandemic. The authors used longitudinal interpretative phenomenological analysis (LIPA).

Being aware of the limits of resources emerged as a key factor in how trailing spouses develop and maintain relationships with friends and extended family. The fact that the pandemic changed the dynamics of their social networks illuminates how crucial these relationships or their absence are in their adjustment and readjustment process. Children play a significant role in these relationships.

Comparative research into the friendships and relationships of different groups of trailing spouses in various locations could capture more specificity of the relationship dynamics.

The explored patterns can promote a better understanding of the relationship dynamics of trailing spouses' networks, which can, in turn, support and facilitate both adjustment and repatriation processes. They can help explain how and what kind of social networks best support trailing spouse transition during a time of crisis or adjustment. These findings could be incorporated into intercultural training programs.

No current study that the authors know of has explored trailing spouses' relationship dynamics in a longitudinal study before and during a crisis.

Advances in Big Data, artificial Intelligence and data-driven innovation bring enormous benefits for the overall society and for different sectors. By contrast, their misuse can lead to data workflows bypassing the intent of privacy and data protection law, as well as of ethical mandates. It may be referred to as the ‘creep factor’ of Big Data, and needs to be tackled right away, especially considering that we are moving towards the ‘datafication’ of society, where devices to capture, collect, store and process data are becoming ever-cheaper and faster, whilst the computational power is continuously increasing. If using Big Data in truly anonymisable ways, within an ethically sound and societally focussed framework, is capable of acting as an enabler of sustainable development, using Big Data outside such a framework poses a number of threats, potential hurdles and multiple ethical challenges. Some examples are the impact on privacy caused by new surveillance tools and data gathering techniques, including also group privacy, high-tech profiling, automated decision making and discriminatory practices. In our society, everything can be given a score and critical life changing opportunities are increasingly determined by such scoring systems, often obtained through secret predictive algorithms applied to data to determine who has value. It is therefore essential to guarantee the fairness and accurateness of such scoring systems and that the decisions relying upon them are realised in a legal and ethical manner, avoiding the risk of stigmatisation capable of affecting individuals’ opportunities. Likewise, it is necessary to prevent the so-called ‘social cooling’. This represents the long-term negative side effects of the data-driven innovation, in particular of such scoring systems and of the reputation economy. It is reflected in terms, for instance, of self-censorship, risk-aversion and lack of exercise of free speech generated by increasingly intrusive Big Data practices lacking an ethical foundation. Another key ethics dimension pertains to human-data interaction in Internet of Things (IoT) environments, which is increasing the volume of data collected, the speed of the process and the variety of data sources. It is urgent to further investigate aspects like the ‘ownership’ of data and other hurdles, especially considering that the regulatory landscape is developing at a much slower pace than IoT and the evolution of Big Data technologies. These are only some examples of the issues and consequences that Big Data raise, which require adequate measures in response to the ‘data trust deficit’, moving not towards the prohibition of the collection of data but rather towards the identification and prohibition of their misuse and unfair behaviours and treatments, once government and companies have such data. At the same time, the debate should further investigate ‘data altruism’, deepening how the increasing amounts of data in our society can be concretely used for public good and the best implementation modalities.