Mitigating loneliness with companion robots in the COVID-19 pandemic and beyond: an integrative framework and research agenda

Virtual resonance: analyzing IPA usage intensity under COVID-19's isolating canopy

The widespread adoption of smartphones coupled with advancements in artificial intelligence has significantly propelled the use of intelligent personal assistants (IPAs). These digital assistants have become indispensable for many users, particularly during the COVID-19 pandemic. Employing coviance-based structural equation modeling (CB-SEM) and analyzing data from 260 participants, this study explores the key factors influencing IPA usage intensity. Contrary to expectations, affective risk perception showed no significant impact on either IPA usage or parasocial interaction during the pandemic. In stark contrast, cabin fever syndrome significantly influenced both IPA usage and parasocial interaction, underscoring the role of environmental and psychological stressors in shaping technology use. Furthermore, loneliness was found to significantly enhance parasocial interaction with IPAs, though it did not affect usage intensity. The findings highlight a substantial connection between parasocial interaction and IPA usage intensity, suggesting that users who engage in human-like interactions with IPAs tend to use them more extensively. These insights not only deepen our understanding of how IPAs are utilized during health crises but also point to potential directions for developing IPAs that are more responsive to users' emotional and social needs.

Sequential model based on human cognitive processing to robot acceptance

Robots have tremendous potential, and have recently been introduced not only for simple operations in factories, but also in workplaces where customer service communication is required. However, communication robots have not always been accepted. This study proposes a three-stage (first contact, interaction, and decision) model for robot acceptance based on the human cognitive process flow to design preferred robots and clarifies the elements of the robot and the processes that affect robot acceptance decision-making. Unlike previous robot acceptance models, the current model focuses on a sequential account of how people decide to accept, considering the interaction (or carry-over) effect between impressions established at each stage. According to the model, this study conducted a scenario-based experiment focusing on the impression of the first contact (a robot's appearance) and that formed during the interaction with robot (politeness of its conversation and behavior) on robot acceptance in both successful and slightly failed situations. The better the appearance of the robot and the more polite its behavior, the greater the acceptance rate. Importantly, there was no interaction between these two factors. The results indicating that the impressions of the first contact and interaction are additively processed suggest that we should accumulate findings that improving the appearance of the robot and making its communication behavior more human-like in politeness will lead to a more acceptable robot design.

Interactive changes in depression and loneliness symptoms prior to and during the COVID-19 pandemic: A longitudinal network analysis

OBJECTIVES

Depression and loneliness co-occur frequently. This study examined interactive changes between depression and loneliness among older adults prior to and during the COVID-19 pandemic from a longitudinal network perspective.

METHODS

This network study was based on data from three waves (2016-2017, 2018-2019, and 2020) of the English Longitudinal Study of Ageing (ELSA). Depression and loneliness were measured with the eight-item version of the Center for Epidemiologic Studies Depression Scale (CESD-8) and three item version of the University of California Los Angeles (UCLA) Loneliness Scale, respectively. A network model was constructed using an Ising Model while network differences were assessed using a Network Comparison Test. Central symptoms were identified via Expected Influence (EI).

RESULTS

A total of 4,293 older adults were included in this study. The prevalence and network of depression and loneliness did not change significantly between the baseline and pre-pandemic assessments but increased significantly from the pre-pandemic assessment to during COVID-19 assessment. The central symptom with the strongest increase from pre-pandemic to pandemic assessments was "Inability to get going" (CESD8) and the edge with the highest increase across depression-loneliness symptom communities was "Lack companionship" (UCLA1) - "Inability to get going" (CESD8). Finally, "Feeling depressed" (CESD1) and "Everything was an effort" (CESD2) were the most central symptoms over the three assessment periods.

CONCLUSIONS

The COVID-19 pandemic was associated with significant changes in the depression-loneliness network model. The most changed symptoms and edges could be treatment targets for reducing the risk of depression and loneliness in older adults.

Application of artificial intelligence (AI) to control COVID-19 pandemic: Current status and future prospects

The impact of the coronavirus disease 2019 (COVID-19) pandemic on the everyday livelihood of people has been monumental and unparalleled. Although the pandemic has vastly affected the global healthcare system, it has also been a platform to promote and develop pioneering applications based on autonomic artificial intelligence (AI) technology with therapeutic significance in combating the pandemic. Artificial intelligence has successfully demonstrated that it can reduce the probability of human-to-human infectivity of the virus through evaluation, analysis, and triangulation of existing data on the infectivity and spread of the virus. This review talks about the applications and significance of modern robotic and automated systems that may assist in spreading a pandemic. In addition, this study discusses intelligent wearable devices and how they could be helpful throughout the COVID-19 pandemic.

Hold My Hand: Development of a Force Controller and System Architecture for Joint Walking with a Companion Robot

In recent years, there has been a growing interest in the development of robotic systems for improving the quality of life of individuals of all ages. Specifically, humanoid robots offer advantages in terms of friendliness and ease of use in such applications. This article proposes a novel system architecture that enables a commercial humanoid robot, specifically the Pepper robot, to walk side-by-side while holding hands, and communicating by responding to the surrounding environment. To achieve this control, an observer is required to estimate the force applied to the robot. This was accomplished by comparing joint torques calculated from the dynamics model to actual current measurements. Additionally, object recognition was performed using Pepper's camera to facilitate communication in response to surrounding objects. By integrating these components, the system has demonstrated its capability to achieve its intended purpose.

Psychological interventions for loneliness and social isolation among older adults during medical pandemics: a systematic review and meta-analysis

OBJECTIVES

There is little research conducted to systematically synthesize the evidence on psychological interventions for social isolation and loneliness among older adults during medical pandemics. This systematic review aims to address this information gap and provides guidance for planning and implementing interventions to prevent and reduce loneliness and social isolation for older adults, especially during medical pandemics.

METHODS

Four electronic databases (EMBASE, PsychoInfo, Medline and Web of Science) and grey literature from 1 January 2000 to 13 September 2022 were searched for eligible studies on loneliness and social isolation. Data extraction and methodological quality assessment on key study characteristics were conducted independently by two researchers. Both qualitative synthesis and meta-analysis were used.

RESULTS

The initial search yielded 3,116 titles. Of the 215 full texts reviewed, 12 intervention articles targeting loneliness during the COVID-19 pandemic met the inclusion criteria. No studies were found concerning intervention with respect to social isolation. Overall, interventions targeting social skills and the elimination of negativities effectively alleviated the feelings of loneliness in the older population. However, they had only short-term effects.

CONCLUSION

This review systematically summarised the key characteristics and the effectiveness of existing interventions addressing loneliness in older adults during the COVID-19 pandemic. Future interventions should focus on social skills and eliminating negativities and be tailored to the needs and characteristics of older people. Repeated larger-scale randomized controlled trials and long-term effectiveness evaluations on this topic are warranted.

Consumer loneliness: A systematic review and research agenda

Treading on the heels of the spread of the coronavirus, the "loneliness virus" has been capturing territories globally. Consumers are not immune to loneliness. Although academics and the general public have recognized the devastating effects of loneliness, the academic attention given to consumer loneliness (CL) is scattered and fragmentary. The purpose of this article is to systematically review the antecedents (predictors and alleviators) and consequences (consumer behaviors, emotions, preferences, attitudes, and cognition) of CL in various consumption contexts. This review also presents findings on CL as a mediator and moderator in consumer studies. This work adds to the growing body of CL literature by synthesizing the existing findings and knowledge. More importantly, we present a future research agenda by linking CL to significant research lines and detailed implications for practitioners in the marketplace.

How to increase consumer intention to use Chatbots? An empirical analysis of hedonic and utilitarian motivations on social presence and the moderating effects of fear across generations

As chatbots become more advanced and popular, marketing research has paid enormous attention to the antecedents of consumer adoption of chatbots. This has become increasingly relevant because chatbots can help mitigate the fear and loneliness caused by the global pandemic. Therefore, unlike previous work that focused on design factors, we theorize that social presence serves a mediating role between consumer motivations (i.e., hedonic and utilitarian) and intention to use a chatbot service based on self-determination theory. Our results from a structural equation model (n  = 377) indicate that hedonic (but not utilitarian) motivation significantly affects chatbots’ social presence, ultimately influencing intention to use the chatbot service. We also found that fear of COVID-19 amplifies the effect of social presence on intention to use the chatbot service. In this dynamic, we found an additional moderated moderation effect of generational cohorts (i.e., baby boomers and Generations X, Y, and Z) in experiencing different levels of fear of COVID-19. Overall, our findings emphasize the importance of motivation-matching features for consumer adoption of chatbot services. Our findings also indicate that marketers may utilize the fear element to increase adoption of chatbot services, especially when targeting the young generations (e.g., Generation Z).

A survey of AI ethics in business literature: Maps and trends between 2000 and 2021

Artificial intelligence is spreading rapidly in business products and processes, with innovations that bring great benefits to society; however, significant risks also arise. AI-enabled systems make decisions autonomously and influence users and the environment, presenting multiple ethical issues. This work focuses on the ethics of AI use in business. We conduct a survey of business journal articles published between 2000 and mid-2021 to identify the most influential journals, articles, and authors, the most influential ethical schools, and the main ethical issues of AI in business. It describes the state-of-the-art in the field and identifies trends in ethical issues arising from AI. Thus, we present maps and trends of the ethics in AI in business literature.

Liaison, safeguard, and well-being: Analyzing the role of social robots during the COVID-19 pandemic

We examine the implementation of social robots in real-world settings during the COVID-19 pandemic. In particular, we analyze the areas in which social robots are being adopted, the roles and tasks being fulfilled, and the robot models being implemented. For this, we traced back and analyzed 240 deployment cases with 86 different social robots worldwide that have been adopted since the coronavirus outbreak. We found that social robot adoption during this period was strongly related to the use of this technology for crisis management. The social robots' capacity to perform the roles of liaison to minimize direct contact among humans, safeguard to ensure contagion risk-free environments, and well-being coach to protect mental and physical health, is key to explaining adoption within this context. The results of the study offer a complete overview of social robots' utilization in real life settings during the pandemic.

Liaison, safeguard, and well-being: Analyzing the role of social robots during the COVID-19 pandemic

We examine the implementation of social robots in real-world settings during the COVID-19 pandemic. In particular, we analyze the areas in which social robots are being adopted, the roles and tasks being fulfilled, and the robot models being implemented. For this, we traced back and analyzed 240 deployment cases with 86 different social robots worldwide that have been adopted since the coronavirus outbreak. We found that social robot adoption during this period was strongly related to the use of this technology for crisis management. The social robots' capacity to perform the roles of liaison to minimize direct contact among humans, safeguard to ensure contagion risk-free environments, and well-being coach to protect mental and physical health, is key to explaining adoption within this context. The results of the study offer a complete overview of social robots' utilization in real life settings during the pandemic.

Social Robot Interventions in Mental Health Care and Their Outcomes, Barriers, and Facilitators: Scoping Review

BACKGROUND

The use of social robots as innovative therapeutic tools has been increasingly explored in recent years in an effort to address the growing need for alternative intervention modalities in mental health care.

OBJECTIVE

The aim of this scoping review was to identify and describe social robot interventions in mental health facilities and to highlight their outcomes as well as the barriers and facilitators to their implementation.

METHODS

A scoping review of the literature published since 2015 was conducted using the Arksey and O'Malley's framework. The MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and PsycINFO databases were searched, and 2239 papers were retrieved. The papers included were primary empirical studies published in peer-reviewed literature. Eligible studies were set in mental health facilities and they included participants with a known mental health disorder. The methodological quality of the included papers was also assessed using the Mixed Methods Appraisal Tool.

RESULTS

A total of 30 papers met the eligibility criteria for this review. Studies involved participants with dementia, cognitive impairment, schizophrenia, depression, autism spectrum disorder, attention-deficit hyperactivity disorder, and an intellectual disability. The outcomes studied included engagement, social interaction, emotional state, agitation, behavior, and quality of life.

CONCLUSIONS

The methodological weaknesses of the studies conducted this far and the lack of diversity in the conditions studied limit the generalizability of the results. However, despite the presence of certain barriers to their implementation (eg, technical problems, unsuitable environment, staff resistance), social robot interventions generally show positive effects on patients with mental health disorders. Studies of stronger methodological quality are needed to further understand the benefits and the place of social robots in mental health care.

People's dispositional cooperative tendencies towards robots are unaffected by robots' negative emotional displays in prisoner's dilemma games

The study explores the impact of robots' emotional displays on people's tendency to cooperate with a robot opponent in prisoner's dilemma games. Participants played iterated prisoner's dilemma games with a non-expressive robot (as a measure of cooperative baseline), followed by an angry, and a sad robot, in turn. Based on the Emotion as Social Information model, we expected participants with higher cooperative predispositions to cooperate less when a robot displayed anger, and cooperate more when the robot displayed sadness. Contrarily, according to this model, participants with lower cooperative predispositions should cooperate more with an angry robot and less with a sad robot. The results of 60 participants failed to support the predictions. Only the participants' cooperative predispositions significantly predicted their cooperative tendencies during gameplay. Participants who cooperated more in the baseline measure also cooperated more with the robots displaying sadness and anger. In exploratory analyses, we found that participants who accurately recognised the robots' sad and angry displays tended to cooperate less with them overall. The study highlights the impact of personal factors in human-robot cooperation, and how these factors might surpass the influence of bottom-up emotional displays by the robots in the present experimental scenario.

The TRISEC framework for optimizing conversational agent design across search, experience and credence service contexts

Purpose

Service providers increasingly use conversational agents (CAs), such as chatbots, to effectively communicate with customers while managing interaction costs and providing round-the-clock customer service. Yet, the adoption and implementation of such agents in service contexts remains a hit-and-miss, and firms often struggle to balance their CAs implementation complexities and costs with relation to their service objectives, technology design and customer experiences. The purpose of this paper is to provide guidance on optimizing CA design, therefore, the authors develop a conceptual framework, TRISEC, that integrates service logic, technology design and customer experience to examine the implementation of CA solutions in search, experience and credence (SEC) contexts.

Design/methodology/approach

The paper draws on service marketing and communications research, combining the service context classification scheme of search, experience and credence and the technology infused service marketing triangle foci (service, technology and customer) in its conceptual development.

Findings

The authors find that an opportunity exists in recognizing the importance of context when designing CAs and aiming to achieve a balance between service objectives, technology design and customer experiences.

Originality/value

This study contributes to service management and communications research literature by providing interactive service marketing researchers with the highly generalizable TRISEC framework to aid in optimizing CA design and implementation in interactive customer communication technologies. Furthermore, the study provides an array of future research avenues. From a practical perspective, this study aims at providing managers with a means to optimize CA technology design while maintaining a balance between customer centricity and implementation complexity and costs in different service contexts.

Robotics cyber security: vulnerabilities, attacks, countermeasures, and recommendations

The recent digital revolution led robots to become integrated more than ever into different domains such as agricultural, medical, industrial, military, police (law enforcement), and logistics. Robots are devoted to serve, facilitate, and enhance the human life. However, many incidents have been occurring, leading to serious injuries and devastating impacts such as the unnecessary loss of human lives. Unintended accidents will always take place, but the ones caused by malicious attacks represent a very challenging issue. This includes maliciously hijacking and controlling robots and causing serious economic and financial losses. This paper reviews the main security vulnerabilities, threats, risks, and their impacts, and the main security attacks within the robotics domain. In this context, different approaches and recommendations are presented in order to enhance and improve the security level of robotic systems such as multi-factor device/user authentication schemes, in addition to multi-factor cryptographic algorithms. We also review the recently presented security solutions for robotic systems.

"Furry tales": pet ownership's influence on subjective well-being during Covid-19 times

The social distancing required during Covid-19 times tended to make people feel lonelier than usual. Those with pets might, however, have experienced this less, because pets are known for fostering their owners’ subjective well-being. Building on a recently published structural equation model, our study enhances the understanding of subjective well-being by including the construct social distancing during Covid-19 times. In order to answer our research question—How does human-pet relationship need support influence subjective well-being by considering social isolation during Covid-19 times?—we build on the basic needs theory, assuming that humans as well as their pets have an inherent need of autonomy, relatedness, and competence. Using a multivariate data analysis method, namely partial least squares structural equation modeling (PLS-SEM), we establish a path model and examine the relationship between human-pet relationship need support and subjective well-being by including psychological distress and social isolation during Covid-19 times as mediators. We operationalize subjective well-being as a three-dimensional construct consisting of positive affect, happiness, and life satisfaction. In a sample of 215 pet owners in the USA, supporting their need increases subjective well-being, and decreases the psychological distress and loneliness caused by social isolation during Covid-19 times. Furthermore, psychological distress decreases subjective well-being, whereas perceived loneliness during Covid-19 times does not. Our main contributions are to not only enhance our knowledge on the importance of human-pet relationships in critical times, but also to provide policy makers with insights into what influences people’s subjective well-being, which is closely related to their psychological health.

Boundary work in value co-creation practices: the mediating role of cognitive assistants

Purpose

How to improve healthcare for the ageing population is attracting academia attention. Emerging technologies (i.e. robots and intelligent agents) look relevant. This paper aims to analyze the role of cognitive assistants as boundary objects in value co-creation practices. We include the perceptions of the main actors – patients, (in)formal caregivers, healthcare professionals – for a fuller network perspective to understand the potential overlap between boundary work and value co-creation practices.

Design/methodology/approach

We adopted a grounded approach to gain a contextual understanding design to effectively interpret context and meanings related to human–robot interactions. The study context concerns 21 health solutions that had embedded the Watson cognitive platform and its adoption by the youngest cohort (50–64-year-olds) of the ageing population.

Findings

The cognitive assistant acts as a boundary object by bridging actors, resources and activities. It enacts the boundary work of actors (both ageing and professional, caregivers, families) consisting of four main actions (automated dialoguing, augmented sharing, connected learning and multilayered trusting) that elicit two ageing value co-creation practices: empowering ageing actors in medical care and engaging ageing actors in a healthy lifestyle.

Originality/value

We frame the role of cognitive assistants as boundary objects enabling the boundary work of ageing actors for value co-creation. A cognitive assistant is an “object of activity” that mediates in actors' boundary work by offering novel resource interfaces and widening resource access and resourceness. The boundary work of ageing actors lies in a smarter resource integration that yields broader applications for augmented agency.

The Role of Internet of Things to Control the Outbreak of COVID-19 Pandemic

Currently, COVID-19 pandemic is the major cause of disease burden globally. So, there is a need for an urgent solution to fight against this pandemic. Internet of Things (IoT) has the ability of data transmission without human interaction. This technology enables devices to connect in the hospitals and other planned locations to combat this situation. This article provides a road map by highlighting the IoT applications that can help to control it. This study also proposes a real-time identification and monitoring of COVID-19 patients. The proposed framework consists of four components using the cloud architecture: 1) data collection of disease symptoms (using IoT-based devices); 2) health center or quarantine center (data collected using IoT devices); 3) data warehouse (analysis using machine learning models); and 4) health professionals (provide treatment). To predict the severity level of COVID-19 patients on the basis of IoT-based real-time data, we experimented with five machine learning models. The results reveal that random forest outperformed among all other models. IoT applications will help management, health professionals, and patients to investigate the symptoms of contagious disease and manage COVID-19 +ve patients worldwide.

Public Perception and Reception of Robotic Applications in Public Health Emergencies Based on a Questionnaire Survey Conducted during COVID-19

Various intelligent technologies have been applied during COVID-19, which has become a worldwide public health emergency and brought significant challenges to the medical systems around the world. Notably, the application of robots has played a role in hospitals, quarantine facilities and public spaces and has attracted much attention from the media and the public. This study is based on a questionnaire survey on the perception and reception of robots used for medical care in the pandemic among the Chinese population. A total of 1667 people participated in the survey, 93.6% of respondents were pursuing or had completed a bachelor, master or even doctorate degree. The results show that Chinese people generally held positive attitudes towards "anti-pandemic robots" and affirmed their contribution to reducing the burden of medical care and virus transmission. A few respondents were concerned about the issues of robots replacing humans and it was apparent that their ethical views on robots were not completely consistent across their demographics (e.g., age, industry). Nevertheless, most respondents tended to be optimistic about robot applications and dialectical about the ethical issues involved. This is related to the prominent role robots played during the pandemic, the Chinese public's expectations of new technologies and technology-friendly public opinion in China. Exploring the perception and reception of anti-pandemic robots in different countries or cultures is important because it can shed some light on the future applications of robots, especially in the field of infectious disease control.

Corporate Responses to the Coronavirus Crisis and their Impact on Electronic‐Word‐of‐Mouth and Trust Recovery: Evidence from Social Media

This study examines how corporate responses to service failure, caused by the coronavirus (COVID‐19) crisis, influence electronic‐word‐of‐mouth (E‐WoM) and trust recovery around lockdown, using multiple data sources. A dataset of 398 valid COVID‐19 announcements from 50 UK food retailers posted on the social media platform Twitter, and 21,960 consumer comments associated with these announcements, are analysed using content analysis and social media analytics, respectively. In Study 1, we test the effects of corporate crisis response strategy (defensive vs. offensive) and response framing (emotional vs. rational) on consumer E‐WoM (measured as ‘consumer sentiment’). The results reveal that using a defensive corporate response strategy with emotionally framed announcements leads to more positive consumer E‐WoM. In Study 2, we advance the findings of Study 1 using a vignette‐based experimental design to examine how social media announcements made by food retailing brands influence consumers’ trust recovery. We find that consumer trust recovers significantly when corporate COVID‐19 responses are framed in an emotional manner. By drawing upon signalling theory, this study makes an important contribution to public health crisis communication and service failure literature by demystifying consumers’ reactions towards corporate crisis responses amid a pandemic.

Digital working during the COVID-19 pandemic: how task–technology fit improves work performance and lessens feelings of loneliness

Purpose

This study aims to investigate the relationship between information and communication technologies (ICTs) use and work performance during the coronavirus disease 2019 (COVID-19) pandemic. Specifically, it aims to understand what the role of task–technology fit is, and what effect this has on feelings of loneliness of individuals and their subsequent work performance. As a large proportion of workers are required to work from home during the ongoing COVID-19 pandemic, understanding what aspects contribute to higher performance and reduced negative psychological outcomes is of increased practical and research interest.

Design/methodology/approach

To explore these questions, a quantitative approach that employed a sample population of 357 individuals who worked from home during the COVID-19 pandemic was used. Using a convenience, purposive and snowball sampling approach the authors collected data through a custom-built online questionnaire, and analyzed the data using structural equation modeling (SEM).

Findings

The results highlight the effect that high task–technology fit has in both directly and indirectly influencing work performance of individuals. The authors find that by designing ICTs based on task–technology fit principles, individuals are less likely to experience feelings of loneliness while working from home and are more prone to perform better in their work-related tasks.

Originality/value

This study offers a new perspective on the role fit of tasks with technology have on influencing psychological states, and indirectly influencing work-related outcomes. The authors, therefore, expand the understanding about why task–technology fit is sought after by explaining part of the psychological mechanisms through which it has an effect on work performance.

The service triad: an empirical study of service robots, customers and frontline employees

Purpose

Recent service studies suggest focusing on the service triad consisting of technology-customer-frontline employee (FLE). This study empirically investigates the role of service robots in this service triad, with the aim to understand the augmentation or substitution role of service robots in driving utilitarian and hedonic value and ultimately customer repatronage.

Design/methodology/approach

In study 1, field data are collected from customers (n = 108) who interacted with a service robot and FLE in a fast casual dining restaurant. Structural equation modeling (SEM) is used to test hypotheses about the impact of service robots' anthropomorphism, social presence, value perceptions and augmentation opportunities in the service triad. In study 2, empirical data from a scenario-based experimental design (n = 361) complement the field study by further scrutinizing the interplay between the service robot and FLEs within the service triad.

Findings

The study provides three important contributions. First, the authors provide empirical evidence for the interplay between different actors in the “customer-FLE-technology” service triad resulting in customer repatronage. Second, the empirical findings advance the service management literature by unraveling the relationship between anthropomorphism and social presence and their effect on perceived value in the service triad. And third, the study identifies utilitarian value of service robots as a driver of customer repatronage in fast casual dining restaurants.

Practical implications

The results help service managers, service robot engineers and designers, and policy makers to better understand the implications of anthropomorphism, and how the utilitarian value of service robots can offer the potential for augmentation or substitution roles in the service triad.

Originality/value

Building on existing conceptual and laboratory studies on service robots, this is one of the first field studies on the service triad consisting of service robots – customers – frontline employees. The empirical study on service triads provides evidence for the potential of FLEs to augment service robots that exhibit lower levels of functional performance to achieve customer repatronage. FLEs can do this by demonstrating a high willingness to help and having excellent interactions with customers. This finding advocates the joint service delivery by FLE – service robot teams in situations where service robot technology is not fully optimized.

Multi-Agent Robot System to Monitor and Enforce Physical Distancing Constraints in Large Areas to Combat COVID-19 and Future Pandemics

Random outbreaks of infectious diseases in the past have left a persistent impact on societies. Currently, COVID-19 is spreading worldwide and consequently risking human lives. In this regard, maintaining physical distance has turned into an essential precautionary measure to curb the spread of the virus. In this paper, we propose an autonomous monitoring system that is able to enforce physical distancing rules in large areas round the clock without human intervention. We present a novel system to automatically detect groups of individuals who do not comply with physical distancing constraints, i.e., maintaining a distance of 1 m, by tracking them within large areas to re-identify them in case of repetitive non-compliance and enforcing physical distancing. We used a distributed network of multiple CCTV cameras mounted to the walls of buildings for the detection, tracking and re-identification of non-compliant groups. Furthermore, we used multiple self-docking autonomous robots with collision-free navigation to enforce physical distancing constraints by sending alert messages to those persons who are not adhering to physical distancing constraints. We conducted 28 experiments that included 15 participants in different scenarios to evaluate and highlight the performance and significance of the present system. The presented system is capable of re-identifying repetitive violations of physical distancing constraints by a non-compliant group, with high accuracy in terms of detection, tracking and localization through a set of coordinated CCTV cameras. Autonomous robots in the present system are capable of attending to non-compliant groups in multiple regions of a large area and encouraging them to comply with the constraints.

A literature survey of the robotic technologies during the COVID-19 pandemic

Since the late 2019, the COVID-19 pandemic has been spread all around the world. The pandemic is a critical challenge to the health and safety of the general public, the medical staff and the medical systems worldwide. It has been globally proposed to utilise robots during the pandemic, to improve the treatment of patients and leverage the load of the medical system. However, there is still a lack of detailed and systematic review of the robotic research for the pandemic, from the technologies' perspective. Thus a thorough literature survey is conducted in this research and more than 280 publications have been reviewed, with the focus on robotics during the pandemic. The main contribution of this literature survey is to answer two research questions, i.e. 1) what the main research contributions are to combat the pandemic from the robotic technologies' perspective, and 2) what the promising supporting technologies are needed during and after the pandemic to help and guide future robotics research. The current achievements of robotic technologies are reviewed and discussed in different categories, followed by the identification of the representative work's technology readiness level. The future research trends and essential technologies are then highlighted, including artificial intelligence, 5 G, big data, wireless sensor network, and human-robot collaboration.

Did the COVID-19 Pandemic Make Consumers Shop Alone? The Role of Emotions and Interdependent Self-Construal

The paper aims to assess the impact of the COVID-19 pandemic and possible future global epidemic events on shopping behavioral patterns. Specifically, the paper investigates consumer pandemic-related isolation behavior (which manifests itself via preference for shopping without leaving home, and avoiding contact with other people while shopping offline) as a consequence of consumer interdependent self-construal, with the mediating role of consumer pandemic-related emotions of disgust, fear for oneself, fear for others, and sadness. The results of two surveys conducted in different stages of the COVID-19 pandemic in Poland (October 2020, and January 2021, respectively) suggest two opposing indirect effects of interdependent self-construal on isolation behavior: a positive effect through disgust, and a negative effect through sadness. Additionally, a positive indirect effect through fear was visible in the second study. Moreover, two dimensions of interdependent self-construal (i.e., vertical and horizontal) are demonstrated to have opposing effects (a positive effect and a negative one, respectively) on pandemic-related disgust, and in turn on isolation behavior. The above results indicate that, in the context of the pandemic, consumer self-construal influences pandemic-related emotions, and in turn consumers’ tendency to isolate themselves. Implications for marketers and society were discussed from the perspective of economic and sustainability goals.

Trends, Technologies, and Key Challenges in Smart and Connected Healthcare

Cardio Vascular Diseases (CVD) is the leading cause of death globally and is increasing at an alarming rate, according to the American Heart Association's Heart Attack and Stroke Statistics-2021. This increase has been further exacerbated because of the current coronavirus (COVID-19) pandemic, thereby increasing the pressure on existing healthcare resources. Smart and Connected Health (SCH) is a viable solution for the prevalent healthcare challenges. It can reshape the course of healthcare to be more strategic, preventive, and custom-designed, making it more effective with value-added services. This research endeavors to classify state-of-the-art SCH technologies via a thorough literature review and analysis to comprehensively define SCH features and identify the enabling technology-related challenges in SCH adoption. We also propose an architectural model that captures the technological aspect of the SCH solution, its environment, and its primary involved stakeholders. It serves as a reference model for SCH acceptance and implementation. We reflected the COVID-19 case study illustrating how some countries have tackled the pandemic differently in terms of leveraging the power of different SCH technologies, such as big data, cloud computing, Internet of Things, artificial intelligence, robotics, blockchain, and mobile applications. In combating the pandemic, SCH has been used efficiently at different stages such as disease diagnosis, virus detection, individual monitoring, tracking, controlling, and resource allocation. Furthermore, this review highlights the challenges to SCH acceptance, as well as the potential research directions for better patient-centric healthcare.

Can technological advancements help to alleviate COVID-19 pandemic? a review

The COVID-19 pandemic is continuing, and the innovative and efficient contributions of the emerging modern technologies to the pandemic responses are too early and cannot be completely quantified at this moment. Digital technologies are not a final solution but are the tools that facilitate a quick and effective pandemic response. In accordance, mobile applications, robots and drones, social media platforms (such as search engines, Twitter, and Facebook), television, and associated technologies deployed in tackling the COVID-19 (SARS-CoV-2) outbreak are discussed adequately, emphasizing the current-state-of-art. A collective discussion on reported literature, press releases, and organizational claims are reviewed. This review addresses and highlights how these effective modern technological solutions can aid in healthcare (involving contact tracing, real-time isolation monitoring/screening, disinfection, quarantine enforcement, syndromic surveillance, and mental health), communication (involving remote assistance, information sharing, and communication support), logistics, tourism, and hospitality. The study discusses the benefits of these digital technologies in curtailing the pandemic and 'how' the different sectors adapted to these in a shorter period. Social media and television's role in ensuring global connectivity and serving as a common platform to share authentic information among the general public were summarized. The World Health Organization and Governments' role globally in-line with the prevention of propagation of false news, spreading awareness, and diminishing the severity of the COVID-19 was discussed. Furthermore, this collective review is helpful to investigators, health departments, Government organizations, and policymakers alike to facilitate a quick and effective pandemic response.

Service Robots in the Healthcare Sector

Traditionally, advances in robotic technology have been in the manufacturing industry due to the need for collaborative robots. However, this is not the case in the service sectors, especially in the healthcare sector. The lack of emphasis put on the healthcare sector has led to new opportunities in developing service robots that aid patients with illnesses, cognition challenges and disabilities. Furthermore, the COVID-19 pandemic has acted as a catalyst for the development of service robots in the healthcare sector in an attempt to overcome the difficulties and hardships caused by this virus. The use of service robots are advantageous as they not only prevent the spread of infection, and reduce human error but they also allow front-line staff to reduce direct contact, focusing their attention on higher priority tasks and creating separation from direct exposure to infection. This paper presents a review of various types of robotic technologies and their uses in the healthcare sector. The reviewed technologies are a collaboration between academia and the healthcare industry, demonstrating the research and testing needed in the creation of service robots before they can be deployed in real-world applications and use cases. We focus on how robots can provide benefits to patients, healthcare workers, customers, and organisations during the COVID-19 pandemic. Furthermore, we investigate the emerging focal issues of effective cleaning, logistics of patients and supplies, reduction of human errors, and remote monitoring of patients to increase system capacity, efficiency, resource equality in hospitals, and related healthcare environments.

Emergency preparedness for public health threats, surveillance, modelling & forecasting

In the interconnected world, safeguarding global health security is vital for maintaining public health and economic upliftment of any nation. Emergency preparedness is considered as the key to control the emerging public health challenges at both national as well as international levels. Further, the predictive information systems based on routine surveillance, disease modelling and forecasting play a pivotal role in both policy building and community participation to detect, prevent and respond to potential health threats. Therefore, reliable and timely forecasts of these untoward events could mobilize swift and effective public health responses and mitigation efforts. The present review focuses on the various aspects of emergency preparedness with special emphasis on public health surveillance, epidemiological modelling and capacity building approaches. Global coordination and capacity building, funding and commitment at the national and international levels, under the One Health framework, are crucial in combating global public health threats in a holistic manner.

Robots Under COVID-19 Pandemic: A Comprehensive Survey

As a result of the difficulties brought by COVID-19 and its associated lockdowns, many individuals and companies have turned to robots in order to overcome the challenges of the pandemic. Compared with traditional human labor, robotic and autonomous systems have advantages such as an intrinsic immunity to the virus and an inability for human-robot-human spread of any disease-causing pathogens, though there are still many technical hurdles for the robotics industry to overcome. This survey comprehensively reviews over 200 reports covering robotic systems which have emerged or have been repurposed during the past several months, to provide insights to both academia and industry. In each chapter, we cover both the advantages and the challenges for each robot, finding that robotics systems are overall apt solutions for dealing with many of the problems brought on by COVID-19, including: diagnosis, screening, disinfection, surgery, telehealth, care, logistics, manufacturing and broader interpersonal problems unique to the lockdowns of the pandemic. By discussing the potential new robot capabilities and fields they applied to, we expect the robotics industry to take a leap forward due to this unexpected pandemic.

Parasocial Interaction, the COVID-19 Quarantine, and Digital Age Media

Parasocial interaction, or the one-sided relationships individuals form with characters from television and other media can have negative and positive outcomes. By noting the positive aspects of parasocial interaction and implementing them, individuals can improve their well-being. For instance, while parasocial interaction should not replace real relationships, the behavior can supplement them in filling social needs and decreasing loneliness. Such interaction is helpful for individuals when socialization is not attractive or possible due to a variety of causes. While this type of supplementation has typically been studied in the context of internal shortcomings, it likely also occurs when social deficits are invoked externally, such as through long-term work in remote areas. With the explosion of digital media in the last 25 years, opportunities to augment the fulfillment provided by real relationships with parasocialization have never been so great. Moreover, the recent COVID-19 quarantine greatly restricted real socialization. Those who live alone had e-mail and video calls to sustain them, but virtually no physical contact if they abided quarantine rules. During this time, people appear to have relied on social media and binge-watching streamed series to give themselves a feeling of connection with others more than ever before. The effect of such social surrogacy during the quarantine is only one of many parasocial interaction topics that emerge in the wake of the first wave. This paper will review the relevant digital era literature on parasocial interaction and suggest several areas of exploration into the phenomenon contributed uniquely by the quarantine.

Equilibrating resources and challenges during crises: a framework for service ecosystem well-being

Purpose

This article explores the impact of crises, such as the coronavirus pandemic, on service industries, service customers, and the service research community. It contextualizes pandemics in the realm of disasters and crises, and how they influence actors' well-being across the different levels of the service ecosystem. The paper introduces a resources–challenges equilibrium (RCE) framework across system levels to facilitate service ecosystem well-being and outlines a research agenda for service scholars.

Design/methodology/approach

Literature on disasters, crises, service and well-being is synthesized to embed the COVID-19 pandemic in these bodies of work. The material is then distilled to introduce the novel RCE framework for service ecosystems, and points of departure for researchers are developed.

Findings

A service ecosystems view of well-being co-creation entails a dynamic interplay of actors' challenges faced and resource pools available at the different system levels.

Research limitations/implications

Service scholars are called to action to conduct timely and relevant research on pandemics and other crises, that affect service industry, service customers, and society at large. This conceptual paper focuses on service industries and service research and therefore excludes other industries and research domains.

Practical implications

Managers of service businesses as well as heads of governmental agencies and policy makers require an understanding of the interdependence of the different system levels and the challenges faced versus the resources available to each individual actor as well as to communities and organizations.

Social implications

Disasters can change the social as well as the service-related fabric of society and industry. New behaviors have to be learned and new processes put in place for society to maintain well-being and for service industry's survival.

Originality/value

This paper fuses the coronavirus pandemic with service and well-being research, introduces a resources-challenges equilibrium framework for service ecosystem well-being and outlines a research agenda.

Prosumers in times of crisis: definition, archetypes and implications

Purpose

This paper defines prosumers in light of the COVID-19 crisis and other contexts. It addresses how prosumers helped overcome challenges caused by COVID-19 and is the first paper to develop a taxonomy of prosumers, their differentiating characteristics and the degree to which they are useful in overcoming the challenges of COVID-19.

Design/methodology/approach

We conducted a literature search of the prosumer literature using the Web of Science and Scopus databases.

Findings

This study solves a definitional dilemma of prosumers and develops six prosumer archetypes displaying the nuances of prosumers. The study shows that the six prosumer archetypes vary in their usefulness in addressing challenges caused by COVID-19. The findings demonstrate the micro (individual), meso (organizational) and macro (societal) benefits offered by prosumers in times of crises.

Research limitations/implications

This study has some clear implications for the prosumer literature, the services literature and the crisis literature by clarifying the role of prosumers in times of crisis.

Practical implications

This paper offers several implications at the micro (individual), meso (organizational), and macro (societal) levels that are offered by prosumers in times of crises. The benefits of prosumers afford individuals, service practitioners and other organizations ways to remain resilient and strong in the face of significant crises such as COVID-19.

Originality/value

This paper makes three specific contributions. First, it contributes to the service literature by highlighting the role and value of prosumers in crises, an area currently under-researched. Secondly, it developed six prosumer archetypes displaying the nuances of prosumers, contributing to the prosumer literature by sharpening the focus of this versatile phenomenon and demonstrating the differential value of each type of prosumer in times of crises. Lastly, the study advances the prosumer literature by resolving the definitional dilemma of prosumers and by providing a broad, yet specific definition of prosumers that captures the different perspectives evident in the prosumer literature.

Customers' contamination concerns: an integrative framework and future prospects for service management

Purpose

Customers might become concerned about getting contaminated and adapt their behavior accordingly, which is of critical concern for service managers. The purpose of this paper is threefold. First, this paper synthesizes the extant body of research within psychology and marketing into an integrative framework that helps understand the current state of knowledge on contamination. Second, this review summarizes evidence-based managerial recommendations on how to deal with customers' contamination concerns. Third, this paper provides guidance for future research by proposing several ways in which those concerns might influence service management.

Design/methodology/approach

This paper conducts an integrative literature review of over 30 years of psychology and marketing research on contamination concerns.

Findings

The paper reviews physical and metaphysical contagion models, the situational cues that may activate customers' contamination concerns, the psychological mechanisms that underlie the relationship between contamination and customer outcomes and the individual characteristics that influence customer sensitivity to contamination cues. Moreover, this review identifies actions that service managers can take to prevent customers' contamination concerns. Finally, still much has to be learned about how organizations should deal with fear of contamination by the time a next pandemic breaks out.

Originality/value

This paper develops an integrative framework that serves as a structured knowledge map onto the contamination phenomenon and paves the way for future service research.

The influence of social distancing on employee well-being: a conceptual framework and research agenda

Purpose

The ongoing pandemic caused by the coronavirus disease 2019 (COVID-19) virus has severely influenced lives and livelihoods. As service organizations either face hibernation or continuity of their business operations, the impact of social distancing measures raises major concerns for the well-being of service employees. In this paper, the authors develop a conceptual framework to examine how different social distancing practices impact an organization's service continuity or service hibernation, which in turn affects different dimensions of their employee subjective well-being during the COVID-19 pandemic.

Design/methodology/approach

The authors draw on macroeconomic data and industrial reports, linking them to theoretical concepts to develop a conceptual framework and a research agenda to serve as a starting point to fully understand the impact of this pandemic on employee well-being.

Findings

This article develops an overarching framework and research agenda to investigate the impact of social distancing practices on employee well-being.

Originality/value

The authors propose two opposing business concepts – service continuity and service hibernation – as possible responses to social distancing measures. By bridging different theoretical domains, the authors suggeste that there is a need to holistically examine macro-, meso- and micro-level factors to fully understand the impact of social distancing–related measures on employee well-being.