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Past research has discovered that the shape design and interaction process design of AI robots, as well as the users' constant features, are the major factors that affect users' willingness to interact with AI robots. Currently, AI robots that play a vital part in the daily activities of our society are becoming increasingly prevalent, thus things about AI robots have gone from mythic to prosaic. But when and where people are more likely to adopt AI robots remains an important research topic. With the development of online technology and the long-term impact of COVID-19, there has been a recent trend in the lower frequency of socializing. To investigate whether a state of low socializing frequency is a robotic moment and whether it affects people's willingness to interact with AI robots, we conducted two-wave questionnaire surveys to collect data from 300 participants from 23 provinces in China. The results showed that the frequency of socializing had a significant negative correlation with the willingness to interact with the AI robots via the mediation role of social compensation. Furthermore, the relationship between social compensation and willingness to interact with the AI robots was demonstrated to be stronger, when participants had a lower anthropomorphic tendency. These findings have theoretical implications for the human-computer interaction literature and managerial implications for the robotics industry. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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It is difficult to predict what will happen tomorrow, let alone predict the future of 3PLs in the coming decade. After all, in early 2020, who could have foreseen the upheaval the COVID-19 pandemic has brought to supply chains across the globe? Faced with so much uncertainty, one may want to take the approach of many futurists who think about time in a different way. Instead of thinking in linear terms and throwing darts several years into the future, they start with identifying more highly probable events in the short term and work outward (Webb, 2019). So, while we do not own a crystal ball, we are convinced that two currently emerging aspects, you could call them trends, will shape the foreseeable future of third-party logistics providers (3PLs). First, pronounced technological advancements pertaining to hardware and software increasingly impact the future of corporate supply chain management. Second, elements and events within supply chains are getting more difficult to predict. Looking at the next five to ten years, 3PLs will need to proactively address these trends because it directly influences the 3PLs success and because it influences the 3PLs' clients' success and their associated demand for logistics services. While both trends raise challenges, they also offer ample opportunities for 3PLs by enhancing their current services and developing new offerings. For this, 3PLs need to enhance their leadership and management skills. Moreover, 3PL need to emphasize establishing and managing collaborative relationships. © Springer Nature Switzerland AG 2023. All rights reserved.
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In this work we investigate the effectiveness of two train-the-trainer workshops on intelligent industrial robotics. The two workshops, which took place in summer 2021 in Tennessee and Alabama, were the first of a series of six workshops. A total of 32 persons applied to the two summer workshops from 10 states, of whom 15 attended and successfully completed the workshops. Evaluation results show that the participants' knowledge on industrial robotics significantly improved after the workshops, and the vast majority indicated that the training will be used in their home institutions. The major challenge faced during the workshops was the spread of the delta variant of CoVid-19 at the time the workshops were scheduled to take place, and the wide diversity of the educational background of participants. © 2023 IEEE.
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PurposeCountries in Africa have undergone an unprecedented transformation that has shaped the continent as they move ahead from the clutches of colonialism. The evolution of leadership and how organisations function optimally has given rise to the review of leadership approaches and practices, revolutionising its position in the global markets. With the recent spate of global suffering from the pandemic, the formal and traditional work structures are becoming transient. At the same time, the economic consequences of the Russo-Ukrainian crisis have catastrophic effects globally.Design/methodology/approachThe research was conducted via a systematic review of scientific sources from various academic websites. Eligibility criteria were defined with the agreement of pertinent themes and concepts.FindingsBy evaluating and analysing characteristics and success indicators from the blend of leadership competencies ascertained from Afrocentric principles in response to African associated problems, Africa can cement its leadership concepts without following the global north principles. These philosophies are resilient enough to contend with a range of VUCA (volatility, uncertainty, complexity and ambiguity) complexities, including the impact of the recent global pandemic of immeasurable proportions and the prospect of war as the Russo-Ukrainian conflict intensifies.Originality/valueWithin the African environment, there is a greater focus on the human element in shared values, holistic well-being, cooperation and experience. The global community band together to deal with these complexities. This is a typical example of global connectedness with positive and negative connotations.
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This book explores how digital technologies have proved to be a useful and necessary tool to help ensure that local and regional governments on the frontline of the emergency can continue to provide essential public services during the COVID-19 crisis. Indeed, as the demand for digital technologies grows, local and regional governments are increasingly committed to improving the lives of their citizens under the principles of privacy, freedom of expression and democracy. The Digital Revolution began between the late 1950s and 1970s and represents the evolution of technology from the mechanical and analog to the digital. The advent of digital technology has also changed how humans communicate today using computers, smartphones and the internet. Further, the digital revolution has made a tremendous wealth of information accessible to virtually everyone. In turn, the book focuses on key challenges for local and regional governments concerning digital technologies during this crisis, e.g. the balance between privacy and security, the digital divide, and accessibility. Privacy is a challenge in the mitigation of COVID-19, as governments rely on digital technologies like contact-tracking apps and big data to help trace peoples patterns and movements. While these methods are controversial and may infringe on rights to privacy, they also appear to be effective measures for rapidly controlling and limiting the spread of the virus. Next, the book discusses the 10 technology trends that can help build a resilient society, as well as their effects on how we do business, how we work, how we produce goods, how we learn, how we seek medical services and how we entertain ourselves. Lastly, the book addresses a range of diversified technologies, e.g. Online Shopping and Robot Deliveries, Digital and Contactless Payments, Remote Work, Distance Learning, Telehealth, Online Entertainment, Supply Chain 4.0, 3D Printing, Robotics and Drones, 5G, and Information and Communications Technology (ICT). © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
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Humanoid robotics is characterized by constant developments, which are supported by several research facilities across the world. Humanoid robots are used in many different industries. In this setting, this letter, written by people, makes use of ChatGPT answers to examine how humanoid robots might be used in the medical industry, particularly in light of the COVID-19 pandemic and in future. Although humanoid robots can help with certain jobs, it is important to recognize the indispensable importance of human healthcare professionals who have knowledge, empathy, and the capacity for critical judgment. Although humanoid robots can complement healthcare initiatives, they shouldn't be viewed as a full-fledged replacement for human care.
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The COVID-19 sequelae have been shown to affect respiratory and cardiological functions as well as neuro-psychological functions, and, in some cases, metabolic/nutritional aspects. The Italian National Institute for Insurance against Accidents at Work (Istituto Nazionale Assicurazione Infortuni sul Lavoro, INAIL) recorded that, until December 2022, 315,055 workers were affected by COVID-19; therefore, there is a need to identify an effective approach to treat such patients. Robotic and technological devices could be integrated into the rehabilitation programme of people with long COVID conditions. A review of the literature showed that telerehabilitation may improve functional capacity, dyspnoea, performance, and quality of life in these patients, but no studies were found evaluating the effects of robot-mediated therapy or virtual reality systems. Considering the above, Fondazione Don Carlo Gnocchi and INAIL propose a multi-axial rehabilitation for workers with COVID-19 sequelae. To accomplish this goal, the two institutions merged the epidemiological information gathered by INAIL, the expertise in robotic and technological rehabilitation of Fondazione Don Carlo Gnocchi, and the literature review. Our proposal aims to facilitate a multi-axial rehabilitation approach customized to meet the unique needs of each individual, with a particular emphasis on utilizing advanced technologies to address the current and future challenges of patient care.
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As a result of the COVID-19 pandemic, an unprecedented crisis has been generated in all areas of life. In education, this emergency led to the massive closure of face-to-face activities in educational institutions of all levels to prevent the spread of the virus and mitigate its impact. In response to this situation, nine public research centers of the National Council of Science and Technology (CONACYT) of Mexico, CIDETEQ, CIATEJ, CIATEQ, CIESAS, CIMAV, CIO, CIQA, COMIMSA, and ECOSUR, proposed a project through which a set of virtual laboratories would be established, both for teaching and to improve their technological infrastructure for teaching. The project would take advantage of the tools of Information and Communications Technologies (ICTs) that allow remote access, which is the main challenge to develop educational tools that provide for distance education, and give continuity to graduate programs. © 2023 IEEE.
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Through the last decade, and particularly after the Covid period (2020 - 2022), crowd counting and localization have attracted much attention of AI researchers due to its potential applicability in crowd monitoring and control, public safety, space design, interactive content delivery etc. Once delivery objectives for a system are envisaged and the premises are fixed, we can always construct manifold technology architecture that delivers the set goals. However, in the Indian context a solution of choice needs to be optimized on frugality and ease of adaptability. In this paper we report an economic and replicable application of crowd counting and interactive content delivery in museums through unbiased knowledge systems embedded in robotic museum assistants. We intend to demonstrate a robotic system that can deliver any gallery content to groups of visitors keeping special focus on the exhibits that are popular choices. Crowd counting is used here to enable the content presentation to a group of choice in an interactive way. There are some market-ready solutions available for interactive gallery demonstration by moveable robots but they require not only huge capital investment but are also of limited use within controlled environments. Our proposed design is to multiplex an existing infrastructure of surveillance system as a smart crowd counting and gallery demonstration system along with crowd management with minimum additional hardware infusion. © 2023 IEEE.
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Educational robots allow students deepen their knowledge of mathematics and scientific concepts. Educational Robotic coding clubs provide a learning environment for K-6 students that promotes coding through STEM digital literacy. Students in educationally disadvantaged families may not have the educational and financial capital to engage in STEM learning. Closures of schools and afterschool services during the COVID-19 pandemic increased this digital divide. This research proposes a framework for delivering a virtual robotic coding club in an educationally disadvantaged community. The framework develops young people's emotional engagement in STEM through robotic coding. Synchronous online classes were delivered into family homes using Zoom. Results demonstrate that children achieved emotional engagement as reported through high levels of enjoyment and increased interest after participating in the programme. The research shows promise in increasing children's STEM skills and knowledge, and in improving positive attitudes towards STEM for children and parents. © 2023 IEEE.
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In 2019, the Novel Coronavirus Disease (COVID-19) was categorized as a pandemic. This disease can be transmitted via droplets on items or surfaces within several hours. Therefore, the researchers aimed to develop a wirelessly controlled robot arm and platform capable of picking up objects detected via object detection. Robot arm movements are done via the use of inverse kinematics. Meanwhile, a custom object detection model that can detect objects of interest will be trained and implemented in this project. To achieve this, the researchers utilize various open-source libraries, microcontrollers, and readily available materials to construct and program the entire system. At the end of this research, the prototype could reliably detect objects of interest, along with a grab-and-dispose success rate of 88%. Instruction data can be properly sent and received, and dual web cam image transfer reaches up to 1.72 frames per second. © 2023 IEEE.
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The Internet of Things revolution is transforming current healthcare practices by combining technological, economic, and social aspects. Since December 2019, the global spread of COVID19 has influenced the global economy. The COVID19 epidemic has forced governments all around the world to implement lockdowns to prevent viral infections. Wearing a face mask in a public location, according to survey results, greatly minimizes the risk of infection. The suggested robotics design includes an IoT solution for facemask detection, body temperature detection, an automatic dispenser for hand sanitizing, and a social distance monitoring system that can be used in any public space as a single IoT solution. Our goal was to use IoT-enabled technology to help prevent the spread of COVID19, with encouraging results and a future Smart Robot that Aids in COVID19 Prevention. Arduino NANO, MCU unit, ultrasonic sensor, IR sensor, temperature sensor, and buzzer are all part of our suggested implementation system. Our system's processing components, the Arduino UNO and MCU modules are all employed to process and output data. Countries with large populations, such as India and Bangladesh, as well as any other developing country, will benefit from using our cost-effective, trustworthy, and portable smart robots to effectively reduce COVID-19 viral transmission. © 2022 IEEE.
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Social and physical frailty are common geriatric syndromes related to adverse health outcomes, including falls, hospitalization, institutionalization, and death. Social frailty leads to physical frailty in older adults who were not frail. Previous studies have demonstrated that pet ownership and robotic pets have physical and mental health benefits for older adults;however, no studies were found investigating the impact of robotic pets on social and physical frailty in community-dwelling older adults. The purpose of this study was to investigate the impact of a robotic pet on social and physical frailty in community-dwelling older adults using the Technology Acceptance Model as a framework. This was a clinical trial of adults aged 65 and over, hospitalized at a community hospital in Westchester County, New York. Intervention group participants received a robotic pet, and control group participants received usual post-discharge care. Participants were assessed at enrollment and at the 30-day discharge point using the Questionnaire to Define Social Frailty Status, FRAIL Questionnaire, the Geriatric Depression Scale Short Form, and the Short Portable Mental Status Questionnaire. For this study ,220 participants were enrolled;107 in the intervention group and 113 in the control group. Continuous outcomes were compared between groups using t-tests or Wilcoxon rank sum tests, as appropriate. Categorical outcomes were compared between groups using chi-square tests or Fisher's exact tests, as appropriate. The threshold for statistical significance was considered a p value of less than 0.05. There was no significant change in social frailty or physical frailty, cognitive status, or depression between the two groups. Participants who enjoyed doing things with their robotic pet had a statistically significant improvement in their SPMSQ scores (p = 0.02), which indicated a positive effect on cognition in participants who used their pet more. Prevalence of social frailty was high, likely attributable to pandemic control measures and unlikely to change on the social frailty questionnaire used in this study due to the ongoing pandemic. In contrast to this study, previous research has shown that robotic pets were effective for improving well-being in older adults and showed more positive impact in a group setting compared to individual use. A significant limitation of this study was that it took place during the COVID-19 pandemic. Other limitations were related to self-report of some measures which may introduce bias. Additionally, the social frailty questionnaire has not been validated in diverse populations;thus, its validity in the study population is not known. The geographic area where the study took place is non-diverse, which may impact generalizability to wider populations. The robotic pet positively impacted cognitive status in participants who reported they enjoyed doing activities with their pet. This supports the theoretical premise of this study that greater use of the robotic pet would yield greater benefit. Regarding implications, technology is an important tool to ameliorate social and physical frailty, especially in light of pandemic-related restrictions where in-person socialization is restricted. More research is needed on the impact of robotic pets in older adults living at home, particularly on social frailty, loneliness, and cognitive status, with larger sample sizes and diverse populations. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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With the developments of medical artificial intelligence (AI), meta-data analysis, intelligence-aided drug design and discovery, surgical robots and image-navigated precision treatments, intelligent medicine (IM) as a new era evolved from ancient medicine and biomedical medicine, has become an emerging topic and important criteria for clinical applications. It is fully characterized by fundamental research-driven, new-generation technique-directed as well as state-of-the-art paradigms for advanced disease diagnosis and therapy leading to an even broader future of modern medicine. As a fundamental subject and also a practice-oriented field, intelligent medicine is highly trans-disciplinary and cross-developed, which has emerged the knowledge of modern medicine, basic sciences and engineering. Basically, intelligent medicine has three domains of intelligent biomaterials, intelligent devices and intelligent techniques. Intelligent biomaterials derive from traditional biomedical materials, and currently are endowed with multiple functionalities for medical uses. For example, micro-/nanorobots, smart responsive biomaterials and digital drugs are representative intelligent biomaterials which have been already commercialized and applied to clinical uses. Intelligent devices, such as surgical robots, rehabilitation robots and medical powered exoskeleton, are an important majority in the family of intelligent medicine. Intelligent biomaterials and intelligent devices are more and more closely integrated with each other especially on the occasions of intelligence acquisition, remote transmission, AI-aided analysis and management. In comparison, intelligent techniques are internalized in the former two domains and are playing a critical role in the development of intelligent medicine. Representative intelligent techniques of telemedicine, image-navigated surgery, virtual/augmented reality and AI-assisted image analysis for early-stage disease assessments have been employed in nowadays clinical operations which to a large extent relieved medical labors. In the past decades, China has been in the leading groups compared to international colleagues in the arena of intelligent medicine, and a series of eminent research has been clinically translated for practical uses in China. For instance, the first 5G-aided remote surgery has been realized in Fujian Province in January 2019, which for the first time validated their applicability for human uses. The surgical robots have found China as the most vigorous market, and more than 10 famous Chinese companies are developing versatile surgical robots for both Chinese people and people all over the world. China also applied AI techniques to new drug developments especially in early 2020 when COVID-19 epidemic roared, and several active molecules and drug motifs have been discovered for early-stage COVID-19 screening and treatments. Based on the significance of intelligent medicine and its rapid developments in both basic research and industrials, this review summarized the comprehensive viewpoints of the Y6 Xiangshan Science Conferences titled with Fundamental Principles and Key Technologies of Intelligent Medicine, and gave an in-depth discussion on main perspectives of future developments of the integration of biomaterial and devices, the integration of bioinformatics and medical hardware, and the synergy of biotechnology and intelligence information. It is expected that this featuring article will further promote intelligent medicine to an even broader community not only for scientists but also for industrials, and in the long run embrace a perspective future for its blooming and rich contributions in China in the coming 5 years. © 2023 Chinese Academy of Sciences. All rights reserved.
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Purpose: This paper aims to investigate potential consumers' willingness to pay for robot-delivered services in travel, tourism and hospitality, and the factors that shape their willingness to pay. Design/methodology/approach: An online survey yielded a sample of 1,573 respondents from 99 countries. Independent samples t-test, Analysis of variance (ANOVA), cluster, factor and regression analyses were used. Findings: Respondents expected to pay less for robot-delivered services than human-delivered services. Two clusters were identified: one cluster willing to pay nearly the same price for robotic services as for human-delivered services, whilst the other expected deep discounts for robotic services. The willingness-to-pay was positively associated with the attitudes towards robots in tourism, robotic service experience expectations, men and household size. It was negatively associated to travel frequency, age and education. Research limitations/implications: The paper's main limitation is its exploratory nature and the use of a hypothetical scenario in measuring respondents' willingness to pay. The data were gathered prior to the COVID-19 pandemic and do not reflect the potential changes in perceptions of robots due to the pandemic. Practical implications: Practitioners need to focus on improving the attitudes towards robots in tourism because they are strongly and positively related to the willingness to pay. The marketing messages need to form positive expectations about robotic services. Originality/value: This is one of the first papers to investigate consumers' willingness to pay for robot-delivered services in travel, tourism and hospitality and factors that shape their willingness to pay. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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This study presents the positioning method and autonomous flight of a quadrotor drone using ultra-wideband (UWB) communication and an optical flow sensor. UWB communication obtains the distance between multiple ground stations and a mobile station on a robot, and the position is calculated based on a multilateration method similar to global positioning system (GPS). The update rate of positioning using only UWB communication devices is slow;hence, we improved the update rate by combining the UWB and inertial measurement unit (IMU) sensor in the prior study. This study demonstrates the improvement of the positioning method and accuracy by sensor fusion of the UWB device, an IMU, and an optical flow sensor using the extended Kalman filter. The proposed method is validated by hovering and position control experiments and also realizes a sufficient rate and accuracy for autonomous flight.
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Digital transformation has unveiled new prospects for increased performance and productivity in the agricultural sector to meet rising food security needs. Continuous industrialization and unexpected disruptions (e.g., workforce mobility restrictions due to the COVID‐19 pandemic) call for the adoption of agricultural robots. However, automated solutions could be associated with societal challenges in rural areas;unemployment growth has been perceived as a major threat that jeopardizes societal welfare, potentially hindering the implementation of digital technologies. In this context, human–robot synergistic systems could act as a promising socially viable alternative. Through systems thinking, this research investigates the complex interconnections and key feedback mechanisms of automation diffusion (conventional and human–robot interactive) under the socio‐economic perceptions (drivers and barriers) of agribusinesses and rural communities. Overall, this study contributes towards eliciting the mental models that underpin the transition from agricultural robots to human–robot collaboration by transforming automation‐related societal risks into opportunities for sustainable rural development.
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Artificial intelligence (AI) has received a great deal of attention in tourism and hospitality (T&H) literature and practices. The authors of this study propose a bibliometric approach aiming to examine current state-of-the-art AI research in T&H. In total, 1035 manuscripts published between 1984 and 2021 were retrieved form Scopus and Web of Science. This study highlights the evolving volume of studies, authors, affiliated institutions and countries, authorship networks, keyword co-occurrences, and keyword networks and also includes a thematic map that highlights four types of research: motor themes (i.e., artificial neural networks and data mining);basic and transversal themes (i.e., text mining and sentiment analysis, Internet of things and big data, COVID and AI);emerging themes (experience with service robots);and specialized and peripheral themes (e.g., forecasting tourism models, augmented reality and virtual reality, and biometrics). The paper concludes with future perspectives and research avenues in this field.