ABSTRACT
The pandemic situation (Covid 19) brought new challenges in the education sector while simultaneously presenting unique opportunities for technology enabled services. The use of Mobile Robotic Telepresence systems in educational sector is promising as it provides means to significantly enhance the involvement and benefits to stakeholders involved in such interactions. An immersive user interaction with such a system depends on many aspects which are both static and dynamic. We approach the dynamic aspect of such interactions recognizing that the video and audio aspects of such a system will require fine tuning and adaptation. Closely related is the aspect of maintaining the necessary quality of network connection. Considering each of these aspects a reinforcement learning mechanism is incorporated to improve the overall user experience with such a system. A working system is built and experiments performed to demonstrate the effectiveness of the approach. Reward generation matrix, a crucial piece of data gathering from the environment, takes about 45 minutes, offline training time is less than a second, while the robot is able to cover the workspace in slightly less than a minute. The system is not limited to educational sector alone and provides a foundational framework to extend the concepts and principles to adjacent markets. © 2023 IEEE.
ABSTRACT
Nowadays, telepresence systems based on the Extended Reality (XR) system are actively developed and used for remote collaboration due to COVID-19. Still, several issues, such as limited traversable space in Virtual Reality (VR) and require all participants to wear head-mounted display (HMD), stop these systems from being used in our daily life. On the other hand, telepresence robots have been used in various fields before the pandemic. However, these robots also have a limitation in that the current form is incapable of delivering non-verbal expressions, which is essential for social interaction. Therefore, we present a Holobot, a telepresence robot based on the XR system. A remote user connects to the Holobot through VR HMDs, and the Holobot augments a virtual avatar that projectsusers' facial and gesture expressions.We developed a prototype and conducted a simple field test in the exhibition to receive feedback. VR participants enjoyed exploring remote spaces and interacting with each other through Holobot. Furthermore, remote space participants mentioned that a 1:1 scale avatar helped to build co-presence with the VR user. Based on these insights, we think Holobot could provide design guideline for future telepresence robot. For further approach, we plan to improve our prototype and conduct user test for structured evaluation of our system. © 2023 IEEE Computer Society. All rights reserved.
ABSTRACT
The continuing spread of the COVID19 virus shows that adequate preparation for telepresence scenarios such as teleteaching is elementary for structured teaching in secondary education. There should be no negative impact on teaching quality, either in times of general crisis or simply as a measure to ensure institutional stability and individual flexibility in an increasingly digital world. State-of-the-art telepresence approaches include the possibility to use telerobotic systems or telepresence robots (TR). These systems are configured with an immersive interface such that users feel present in a remote environment, projecting their presence through the remote robot. While many professional tasks can be shifted away from the workplace rather easily, social aspects gain particular significance in the context of learning and education. By enabling physical and spatial interaction far beyond the possibilities of mere video conferencing, the high degree of social presence provided by TR can assist better learning experiences. TR can compensate for the lack of mobility or restricted travel options of students, educators or staff. TR can foster language learning and intercultural exchange, and TR can prepare students for the workspaces of tomorrow. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
Telecommunication devices can help mitigate the spread of the COVID-19 virus among the patients quarantined in hospitals. In contrast to the conventional telecommunication devices, a telepresence robot can deliver tangible communication cues from a remote sender to a receiver that vary according to level of interaction modalities. In the context of the COVID-19 pandemic, telecommunication interactants can be divided into two categories based on their socio-relationships. The types include those engaged in social-oriented relationships such as that between patients and families or acquaintances, and task-oriented relationships such as those between patients and doctors or nurses. We hypothesize that the types of telecommunication device used and socio-relationship would be factors affecting the COVID-19 patients' telecommunication experiences and acceptance of telepresence robots. We conducted a user study comparing three types of telecommunication devices namely floor-based robot versus desk-based robot versus tablet with the aforementioned two types of socio-relationships. The results indicated that the participants preferred telecommunication service in a social-oriented relationship to a task-oriented relationship. A mediation analysis revealed that social presence, competency, and familiarity mediates the effects of socio-relationship type on the satisfaction of the telecommunication service. Based on the socio-relationship type, different tendencies on the effect of telecommunication device types on service evaluation were observed. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
BACKGROUND: Long-term care (LTC) settings have been disproportionately affected by the COVID-19 pandemic; it is important to address unmet needs and explore practical strategies for supporting LTC residents and staff. The involvement of patient partners and family community members in research planning, implementation and evaluation is the basis of Patient and Public Involvement approach and has been challenging during the COVID-19 pandemic, as visitation restrictions have created barriers to conducting research in healthcare settings. Innovative methods and tools are needed for conducting participatory research. This study investigated the use of telepresence as innovative tools for participatory research based on three projects conducted with patient and family partners during the COVID-19 pandemic. METHODS: The data source includes (a) team reflective discussions, (b) weekly meeting notes, (c) field notes, and (d) interviews with ten researchers. We applied purposive sampling to select ten researchers who used a telepresence robot to conduct research in British Columbia, Canada. Semi-structured one-to-one interviews were conducted via Zoom virtual meetings. Patient and family partners contributed to team analysis to identify themes. RESULTS: Analysis of the data produced five themes: (1) Research Enabler, (2) User-Friendly Technology, (3) Increased Engagement, (4) Lack of Infrastructure and Resources, and (5) Training and Technical Obstacles. Based on the results, we propose "ROBOT"-an acronym for five actionable recommendations to support the use of telepresence robots for research. The ROBOT recommendations represent: Realign to adapt, Organize with champions, Blend strategies, Offer timely technical assistance, and Tailor training to individual needs. CONCLUSIONS: This study offers practical insights into the use of telepresence robots as a safe and innovative tool for conducting remote research with people with dementia, even in times of restricted access, as with COVID-19. Future research should apply more creativity and flexibility in adopting technology to expand possibilities for involving people with dementia in research.
It is important to address unmet needs and explore practical strategies for supporting long-term care (LTC) residents and staff who have been disproportionately affected by the COVID-19 pandemic. Involving patient partners and family community members in research planning, implementation, and evaluation is crucial for understanding the challenges faced by LTC residents. However, the restrictions on visitation and staff shortages during the pandemic have made this difficult. This study investigated the use of telepresence robots as innovative tools for participatory research. We interviewed ten researchers who used telepresence robots to conduct remote research in British Columbia, Canada. Semi-structured one-to-one interviews were conducted via Zoom meetings and analyzed to find common themes. Based on the analysis of the interviews and our reflection, five themes were found: (1) Research Enabler, (2) User-Friendly Technology, (3) Increased Engagement, (4) Lack of Infrastructure and Resources, and (5) Training and Technical Obstacles. Based on these findings, we propose "ROBOT"an acronym for actionable recommendations to support the use of telepresence robots for research. These recommendations include: Realign to adapt, Organize with champions, Blend strategies, Offer timely technical assistance, and Tailor training to individual needs. This study provides insights into the use of telepresence robots as safe and innovative tools for conducting research with patient and family partners remotely, even in times of restricted access, such as during the COVID-19 pandemic.
ABSTRACT
In this era of post-COVID-19, humans are psychologically restricted to interact less with other humans. According to the world health organization (WHO), there are many scenarios where human interactions cause severe multiplication of viruses from human to human and spread worldwide. Most healthcare systems shifted to isolation during the pandemic and a very restricted work environment. Investigations were done to overcome the remedy, and the researcher developed different techniques and recommended solutions. Telepresence robot was the solution achieved by all industries to continue their operations but with almost zero physical interaction with other humans. It played a vital role in this perspective to help humans to perform daily routine tasks. Healthcare workers can use telepresence robots to interact with patients who visit the healthcare center for initial diagnosis for better healthcare system performance without direct interaction. The presented paper aims to compare different telepresence robots and their different controlling techniques to perform the needful in the respective scenario of healthcare environments. This paper comprehensively analyzes and reviews the applications of presented techniques to control different telepresence robots. However, our feature-wise analysis also points to specific technical, appropriate, and ethical challenges that remain to be solved. The proposed investigation summarizes the need for further multifaceted research on the design and impact of a telepresence robot for healthcare centers, building on new perceptions during the COVID-19 pandemic. © 2023 Tech Science Press. All rights reserved.
ABSTRACT
When a student is homebound from school, they miss out on beneficial classroom experiences. One way to keep homebound students connected is through the use of telepresence technology. However, the existing literature has not been systematically reviewed to address important variables related to successful implementation. The authors conducted a systematic literature review on the use of telepresence technology for homebound K–12 students prior to the Covid-19 pandemic. Twelve articles published between 1990 and 2020 were included. Research on telepresence technology in the classroom is variable regarding outcomes studied and methodologies. Anecdotal data revealed that the use of telepresence technology increased homebound students' academic, social engagement and comfort. Implications for practitioners include feasibility of implementation of telepresence technology for students unable to physically attend classes and guidance in team structure necessary to successfully utilise telepresence. Increased funding allocated to controlled research and necessary infrastructure is essential for successful school-based implementation of telepresence technology. © 2023 Association for Information Technology in Teacher Education.
ABSTRACT
Recent years, classes, conferences and group works in companies and universities have been done as online, which means people don’t have chances to hold them in person because of preventing infections of COVID-19. In regard to these ways of using an online meeting, there is a problem that people who attend online meetings have a strong tendency to have a cognitive load due to having burden behaviors such as discussing and operating PC, smartphone and tablet devices at the same time in comparison with in-person meeting. Particularly, when it comes to using telepresence robots, it is needed for operators to be required to pay much attention. In this study, for diminishing operators’ cognitive load, a supporting system which operating telepresence robots OriHime by using the movement information of operators’ head is proposed. Moreover, we identify that there is a chance to diminish operators’ cognitive load through obtaining information of face position by using telepresence robot, although the effect of the proposed system is set to be revealed by conducting an experiment. © Springer Nature Switzerland AG 2021.
ABSTRACT
The ongoing COVID-19 pandemic has enforced governments across the world to impose social restrictions on the movement of people and confined them to their homes to avoid the spread of the disease. This not only forbids them from leaving their homes but also greatly reduces their physical activities. This situation has brought attention to virtual technologies such as virtual tours or telepresence robots. While these technologies allow people to remotely participate in activities, it does not address the problem of reduction in physical activities due to the pandemic. In this paper, we propose a telepresence robotic system driven by the user's gait to provide an immersive virtual walking experience in remote locations. To this end, we developed a control interface consisting of an automated treadmill that adjusts its speed to the user's pace automatically. This interface is used to control an avatar robot that sends a 360-degree live image back to the user for visual feedback. We conducted an evaluation experiment to compare the experience using the proposed system in two different conditions to that of regular walking. The results indicated that the proposed system gives an immersive and realistic virtual walking experience while demanding physical effort from the user. © 2022 IEEE.
ABSTRACT
With the COVID-19, telepresence robots have re-gained a particular attention as tool to keep in contact with people remotely. Over the years, a lot of studies have demonstrated the efficacy of telepresence robots for communication with respect to other typologies of devices. However, most of the works have focused on the short-term interaction between the robot and the users. Herein, we put the effort to design telepresence robots for continuously caring elderly people in the domestic scenario. With this purpose, in this work, we integrate different AI-driven services, developed inside the SI-Robotics project, to enhance the capabilities of a commercial robotic platform and to provide ecological interaction over time. © 2021 Copyright for this paper by its authors.
ABSTRACT
The restrictions and isolation imposed by the COVID-19 pandemic have led to a greater diffusion of telepresence robots as tools enabling people to assist humans and keep the contacts with them. On the one hand, telepresence robots should implement user commands. On the other, they are supposed to behave in a social manner. This work evaluates a shared autonomy approach based on people-aware navigation for teleoperating a telepresence robot. The system considers both static and dynamic people. The results demonstrate the effectiveness of the presented shared autonomy system with respect to the traditional manual teleoperation in terms of robustness and feedback received from the participants. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
Social isolation is a common phenomenon among the elderly. Retirement, widowhood, and increased prevalence of chronic diseases in this age group lead to a decline in social relationships, which in turn has adverse consequences on health and well-being. The coronavirus COVID-19 crisis worsened this situation, raising interest for mobile telepresence robots (MTR) that would help create, maintain, and strengthen social relationships. MTR are tools equipped with a camera, monitor, microphone, and speaker, with a body on wheels that allows for remote-controlled and sometimes autonomous movement aiming to provide easy access to assistance and networking services. We conducted a narrative review of literature describing experimental studies of MTR involving elderly people over the last 20 years, including during the COVID-19 period. The aim of this review was to examine whether MTR use was beneficial for reducing loneliness and social isolation among older adults at home and in health and care institutions and to examine the current benefits and barriers to their use and implementation. We screened 1754 references and included 24 research papers focusing on the usability, acceptability, and effectiveness of MTR. News reports on MTR use during the COVID-19 period were also examined. A qualitative, multidimensional analysis methodology inspired by a health technology assessment model was used to identify facilitating and limiting factors and investigate if and how MTR could reduce social isolation in elderly people. Reviewed studies provide encouraging evidence that MTR have potential in this regard, as experiments report positive feedback on MTR design and core functionalities. However, our analysis also points to specific technical, ergonomic, and ethical challenges that remain to be solved, highlighting the need for further multidimensional research on the design and impact of MTR interventions for older adults and building on new insights gained during the COVID-19 pandemic.