Factors affecting the public higher education institution (PHEI) acceptance of online meetings applications during COVID-19 pandemic: an empirical study

PurposeIn order to ensure effectiveness of staff's performance using online meetings applications during coronavirus disease (COVID-19), having the behavioural intention is mandatory for staff to measure, test, and manage the staff's data. Understanding of Public Higher Education Institution (PHEI) staffs' intention and behaviour toward online meetings platforms is needed to develop and implement effective and efficient strategies. The objectives of this paper to identify the factors that affect staff to use online meetings applications, to develop a model that examining the factors that affect PHEI staff to online meetings applications and to validate the proposed model. This study used a cross-sectional quantitative correlational study with using UTAUT2 model by validating the model and mediating variables to enhance the model's explanatory power and to make the model more applicable to PHEI staff's behavioural intention.Design/methodology/approachThe data were collected in Malaysia from March to May 2021. The survey took place using Google form and was send to PHEI staff for answer. This research particularly chooses PHEI as the location to carry out the research due to two main factors. Statistical analysis and hypotheses were tested using structural equation modelling based on the optimisation technique of partial least squares. SmartPLS software, Version 3.0 (Hair et al., 2010) was used to conduct the analysis. A conceptualised estimation model was "drawn in” the partial least squares structural equation modeling (PLS-SEM) to analyse the consequences of the variables' relationships. In essence, the PLS-SEM simulation was carried out in a model by assessing and computing various parameters that included elements like validity, durability, and item loading. Henseler et al. (2009) suggested a two-step method that includes PLS model parameter computing. This is accomplished by first solving the estimation model in the structural model independently before calculating the direction coefficients. The results of data analysis using SmartPLS findings and interpretation of the data are addressed. The questionnaire was extensively examined to ensure that the data obtained were presented in a clear and intelligible manner, with the use of figures, and graphs.FindingsThis current study found that the usability of the material, the reliability of operating, the impact of the PHEI staff's views on its usage, and finally the familiarity with the online meetings platforms influenced PHEI staff's behavioural intention for adoption and long-term use of online meeting platforms using UTAUT2. The staff's behavioural intention for using online meeting platforms was significantly influenced by the effort expectancy, facilitating conditions and habit of online meeting platforms. There was a clear association between "Habit” and "Behavioural Intention” for the usage of information technology in learning in several studies (El-Masri and Tarhini, 2017;Uur and Turan, 2018;Mosunmola et al., 2018;Venkatesh et al., 2003). As a consequence of the utility of online meeting platforms in daily staff meetings and learning activities, this technology has been adopted.Originality/valueThis study used UTAUT2 and structural equations modelling in this study to assess respondents' perspectives on the use of online meetings platforms in PHEI, since users' perspective is a significant factor in the adoption and acceptance of online meeting applications. Staff's behavioural intention to use online meeting platforms was effectively enhanced by "Effort Expectancy,” "Facilitating Conditions” and "Habit” in this study. The study shows that identifying PHEI staff's perspectives will effectively increase the staff's aversion to utilising online meeting platforms for online meetings purposes.

Estimating Stress in Online Meetings by Remote Physiological Signal and Behavioral Features

Work stress impacts people's daily lives. Their well-being can be improved if the stress is monitored and addressed in time. Attaching physiological sensors are used for such stress monitoring and analysis. Such approach is feasible only when the person is physically presented. Due to the transfer of the life from offline to online, caused by the COVID-19 pandemic, remote stress measurement is of high importance. This study investigated the feasibility of estimating participants' stress levels based on remote physiological signal features (rPPG) and behavioral features (facial expression and motion) obtained from facial videos recorded during online video meetings. Remote physiological signal features provided higher accuracy of stress estimation (78.75%) as compared to those based on motion (70.00%) and facial expression (73.75%) features. Moreover, the fusion of behavioral and remote physiological signal features increased the accuracy of stress estimation up to 82.50%. © 2022 Owner/Author.

A Study on Metaverse in Education

Most nations have used online meeting software platforms for distant education in some capaci ty during the COVID-19 epidemic. These software applications do, however, have substantial drawbacks that hinder engagement and fall short of simulating the classroom environment. Many of these restrictions are resolved by the newly forming Metaverse. In education in Metaverse, learners have the opportunity to engage with digital content and each other in a more interactive and immersive way. For example, learners can participate in virtual simulations, role -playing activities, and collaborative projects with other learners from around the world. They can also access a wide range of digital resources, such as virtual textbooks, lectures, and assessments, all within the same platform. This paper reviews different Metaverse models, frameworks for applying Metaverse in the field of education. © 2023 IEEE.

Students Experience Testing in the Implementation of the 'Gather Town' Meeting Platform as an Alternative Learning Media other than Zoom Cloud Meeting Application

The COVID-19 pandemic has limited the mobility of everyone in the world. Education is one of the most affected sectors because education systems have been done face to face. Most educational institutions switch to online learning by using online meeting platforms. We discovered an online meeting platform called 'Gather town' which looks more attractive in increasing learning motivation and may be an alternative solution for online education. This paper aims to test student experience using 'Gather Town' as a new learning medium and compare the effectiveness with Zoom Meeting Application. We compare the User Experience of both applications by letting respondents try the application and ask for feedback from our questionnaire. The result from the questionnaire shows that Gather Town has excellent potential as an alternative new learning media. © 2022 IEEE.

Team Mindfulness in Online Academic Meetings to Reduce Burnout

Burnout, a negative job-related psychological state common with health professionals, results in valuable healthcare research loss. Team mindfulness, promoting work engagement, represents an aspect effective in reducing burnout. In a series of diverse-membership academic meetings intended to reduce research burnout—employing writing prompts, doodling, and continuous developmental feedback—team mindfulness was demonstrated when conducted in person. Therefore, whether team mindfulness is evident when meetings are held online is relevant. During the first eighteen months of COVID-19 limitations requiring these meetings to be online, it was previously reported that team mindfulness was diminished. Question-asking, submitted doodles, and feedback responses were analyzed for the following year of the same group, both quantitively and qualitatively, and with respect to COR theory, to determine if the result persisted. Team mindfulness was also compromised in the second year with respect to the entire group but not regarding the individual relationship with the facilitator. For a diverse-membership group to demonstrate team mindfulness, it is suggested that creating and using avatars similar to those used in online games might be effective. To continue the successful aspect of team mindfulness found online for this group or similarly designed groups, a one-on-one meeting between participant and facilitator is recommended. [ABSTRACT FROM AUTHOR] Copyright of Challenges (20781547) is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Facilitating Online Participatory Planning During the COVID-19 Pandemic

Problem, research strategy, and findings Takeaway for practice The COVID-19 pandemic temporarily shifted participatory planning processes from face-to-face to online meetings. Prior to the pandemic, public participation included online components, but only in support of face-to-face public meetings. Thus, there was very little guidance for practitioners on how to design and host online public meetings. We interviewed 32 professional planners and facilitators with experience hosting public meetings during the summer of 2020 and asked them to discuss their experience moving their practices online. We expected to see drastic changes in how these professionals approached their work, but our expectations were only partially met. Instead of revolutionizing participatory planning, online meetings only required modest adjustments to the practices used in face-to-face meetings. Our findings are limited because they represent a narrow window in time. More substantial changes to participatory planning practices may have taken place because of the pandemic and may not be reflected in our interview data.Face-to-face and online meetings may not be as different as popular opinion suggests, and many of the practices that planners have used to host face-to-face public planning meetings could be applied to online meetings. Moreover, the successful transition to online meetings during the pandemic also suggests that remote public meetings are a viable and legitimate option for participatory planning processes. [ABSTRACT FROM AUTHOR] Copyright of Journal of the American Planning Association is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

An Analysis of Factors Influencing the Intention to Use "Untact” Services by Service Type

Since COVID-19, social distancing has become common, and the demand for untact services has increased rapidly, resulting in an economic phenomenon centered on untact worldwide. Due to social distancing, the untact service area is expanding not only to shopping but also to online learning, home training, and telemedicine, and untact services are expected to expand to more diverse areas in the future. This study investigates four types of untact services: online lectures, online meetings related to work and study, online seminars, and online performances, and the effects of concerns about untact services on the intention of use have been examined using a path analysis model. As a result of the analysis, the perceived usefulness had a positive effect on the user's continuous intention to use untact services. However, depending on the type of untact service, it can be confirmed that the factors that affect the intention to continue using the service differ from each other. Practitioners can use the results of this study when designing untact services in the future. © 2023 by the authors.

A Tool for Automating IT Management in Small Schools

The outbreak of COVID-2019 has resulted in the adaptation of the teaching and learning style in schools to become more online, conducting teaching and learning from any places without classroom meeting. Systems such as School Management, Online Meeting, and Online library, have been deployed to support all school members including students, teachers, parents, and administrators. These systems need to be properly managed. For business enterprises, this job falls on the shoulders of the IT department, which is usually well-staffed and well-equipped as companies realize their competitive edge depends on it. For educational institutions, especially in small schools, only 1 or 2 "computer specialists"assume the responsibility of the whole IT department. This can be overwhelming for them and, when IT tasks are poorly managed, dissatisfaction and productivity loss among school members ensue. This paper describes a system that we have designed and developed called Admin Task Management Center (ATMC). It aims to significantly reduce the manual workload of IT staff in small schools in document management, system monitoring, and other IT-related tasks. Our ATMC is currently being deployed at Satit Kaset IP (Kasetsart University Laboratory School, Center for Educational Research and Development, International Program). Our evaluation shows that the ATMC considerably raises the productivity level of IT staff, as well as other members of the school. We have released version 1 of our ATMC tool as open-source software. It is available on Github. © 2022 IEEE.

"i saw your partner naked": Exploring Privacy Challenges during Video-based Online Meetings

Video-based online meetings and, ultimately, the amount of private information that is shared-intentionally or accidentally-increased as a result of the COVID-19 pandemic. For example, online teaching might reveal lecturers' private environment to students or business meetings might provide insights about employees' family relationships. This raises the need to understand users' perception towards privacy intrusion during online video conferences to inform concepts that better protect meeting participants' privacy. We present the results of an online survey (N = 140) in which we investigate user stories of privacy-invasive situations in their homes during such meetings. Our results show that online meetings reveal private information that would not have become available during physical meetings. This often involves third parties (e.g., children, spouse, colleague), who might not even be aware of this. We discuss potential means to support users in protecting their and others' privacy before, during, and after video-based online meetings. © 2022 ACM.

Research on Supporting an Operator’s Control for OriHime as a Telepresence Robot

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.

Online Learning Experience Assessment Survey During the Covid-19 Pandemic

Due to the Covid-19 epidemic, the education system worldwide has changed profoundly. This has caused many lecturers to transform face-to-face teaching and learning to online learning. In this regard, this study focuses on students' experiences in dealing with online learning. A survey method using a questionnaire is used to gather data from students, and 46 respondents answered the survey. The survey is divided into three sections, which comprise of Online Learning (Assigning Tasks), Online Learning (Quizzes), and Online Learning (Online Meetings). The results showed that the online learning application that was mostly used for assigned tasks was Google Classroom, which was 78.3%. The online learning application that is mostly used for quizzes was Kahoot, 97.8% and for online meetings was Zoom, 63.2%. Overall, most respondents, 45.7% chose a combination of online learning and face-to-face classes. © 2022 IEEE.

Factors affecting the public higher education institution (PHEI) acceptance of online meetings applications during COVID-19 pandemic: an empirical study

Purpose - In order to ensure effectiveness of staff's performance using online meetings applications during coronavirus disease (COVID-19), having the behavioural intention is mandatory for staff to measure, test, and manage the staff's data. Understanding of Public Higher Education Institution (PHEI) staffs' intention and behaviour toward online meetings platforms is needed to develop and implement effective and efficient strategies. The objectives of this paper to identify the factors that affect staff to use online meetings applications, to develop a model that examining the factors that affect PHEI staff to online meetings applications and to validate the proposed model. This study used a cross-sectional quantitative correlational study with using UTAUT2 model by validating the model and mediating variables to enhance the model's explanatory power and to make the model more applicable to PHEI staff's behavioural intention. Design/methodology/approach - The data were collected in Malaysia from March to May 2021. The survey took place using Google form and was send to PHEI staff for answer. This research particularly chooses PHEI as the location to carry out the research due to two main factors. Statistical analysis and hypotheses were tested using structural equation modelling based on the optimisation technique of partial least squares. SmartPLS software, Version 3.0 (Hair et al., 2010) was used to conduct the analysis. A conceptualised estimation model was "drawn in" the partial least squares structural equation modeling (PLS-SEM) to analyse the consequences of the variables' relationships. In essence, the PLS-SEM simulation was carried out in a model by assessing and computing various parameters that included elements like validity, durability, and item loading. Henseler et al. (2009) suggested a two-step method that includes PLS model parameter computing. This is accomplished by first solving the estimation model in the structural model independently before calculating the direction coefficients. The results of data analysis using SmartPLS findings and interpretation of the data are addressed. The questionnaire was extensively examined to ensure that the data obtained were presented in a clear and intelligible manner, with the use of figures, and graphs. Findings-This current study found that the usability of the material, the reliability of operating, the impact of the PHEI staff's views on its usage, and finally the familiarity with the online meetings platforms influenced PHEI staffs behavioural intention for adoption and long-term use of online meeting platforms using UTAUT2. The staff's behavioural intention for using online meeting platforms was significantly influenced by the effort expectancy, facilitating conditions and habit of online meeting platforms. There was a clear association between "Habit" and "Behavioural Intention" for the usage of information technology in learning in several studies (El-Masri and Tarhini, 2017;Uur and Turan, 2018;Mosunmola et at., 2018;Venkatesh et al, 2003). As a consequence of the utility of online meeting platforms in daily staff meetings and learning activities, this technology has been adopted. Originality/value - This study used UTAUT2 and structural equations modelling in this study to assess respondents' perspectives on the use of online meetings platforms in PHEI, since users' perspective is a significant factor in the adoption and acceptance of online meeting applications. Staff's behavioural intention to use online meeting platforms was effectively enhanced by "Effort Expectancy," "Facilitating Conditions" and "Habit" in this study. The study shows that identifying PHEI staff's perspectives will effectively increase the staffs aversion to utilising online meeting platforms for online meetings purposes.

Computer-Vision Based Attention Monitoring for Online Meetings

Due to the appearance of COVID-19, virtual video conferencing platforms like Zoom and Google Meet have become one of the main alternative ways to conduct virtual meetings and presentations. While the virtual platforms are cheaper and more flexible, presenters and meeting hosts are likely less efficient at assessing audience attention and engagement due to the lack of body language. In this paper, we propose a system for estimating and monitoring participant attention in virtual meetings by using computer vision. Our approach mainly focuses on changes in a person's presence, gaze direction, and head orientation as a computer camera has a limited field of view. We first created a module to detect and extract participant video cells to isolate users and process their attention individually. Using those videos, we then monitored the user's presence, using YOLOv3 and DeepSORT, and their gaze direction and head orientation, using PTGaze. Through this monitoring, the system is able to record and graph a user's attention over the total amount of frames and return a collective attention level graph for the entire meeting. We believe that our system has potential usage in settings where attention is critical, such as academic lectures or collaborative business meetings. © 2022 IEEE.

Establishing Online Meeting Climate Types and Developing Measurements: Impact on Meeting Satisfaction

In the post covid-19 era, organizations will experience a new environment. Advances in technologies such as AI and big data, and new experiences such as online meetings and lectures, will increase the use of online communication. Businesses will increasingly engage in online-based information sharing, virtual team operations, and online meetings. This study focuses on meeting climate and satisfaction, to improve the performance of online meetings. Existing studies on meeting climate presuppose off-line situations. Offline and online communication methods and meeting formats are different. This paper proposes new climate types to develop an appropriate climate for online-based meetings. To apply these climates in online meetings, a measurement scale was developed and the impact on online meeting satisfaction was verified. As a result of the study, it was found that the creativity-oriented meeting climate was the most important, and relation-oriented and participation-oriented meeting climates also had a significant effect, while the direction-oriented and task-oriented climates were relatively less important. This study develops new variables and measurements for online meeting climates, and explains their importance. Companies will be able to leverage the appropriate climates for online meetings to improve performance. Copyright © 2022 KSII.

Delivery and Impact of Virtual Teacher Professional Development Workshops

Over the past few years, education at all levels has been greatly disrupted by the COVID pandemic. For many schools, face-to-face interactions were reduced or restricted to only those activities that have been determined to be essential for student instruction. The pandemic has also had a great impact on teacher professional development programming, which traditionally has been delivered largely in face-to-face settings. This paper examines the implementation of a series of energy technology teacher professional development workshops that were delivered virtually using online meeting apps. The results of the workshops are presented including participant measures of learning gains, and feedback describing how faculty participants used the information gained to modify their curriculum and instruction. The discussion includes observations and recommended practices to promote the effective incorporation of tools and equipment for remotely delivered workshops. © American Society for Engineering Education, 2022.

Positive aspects of teaching online during COVID-19: Zoom backgrounds, MannyCam, and increased student engagement

The COVID-19 pandemic forced my teaching and all interactions with my students to be conducted entirely online via Zoom from March 2020 through May 2021. Reflecting on this experience, I have been surprised to realize that there are several aspects of teaching online over Zoom which I will miss when I return to the classroom. In this paper I describe my teach-from-home studio which enabled me to maximize online interaction with my students, and how I was able to bring some much-needed humor into my online classes using Zoom virtual backgrounds and costumes and later a small art mannequin placed and a dedicated webcam. In addition, I discuss some ways I was able to encourage students to interact with each other and with me. A surprising observation was an increased level of engagement between myself and my online students, especially the distance education students with whom I normally have little interaction. There were also some things that did not work over Zoom, such as the elaborate classroom demonstrations which I normally use on a regular basis. This paper concludes with lessons learned along with things I hope to retain and/or change when I return to teaching in-person in a classroom. This paper was presented at the 180th meeting of the Acoustical Society of America, June 7-9, 2021. This meeting, nicknamed "Acoustics in Focus" was a virtual, online meeting that took place during the COVID-19 pandemic. This paper was part of an Education in Acoustics special session, Reflections on Teaching Acoustics During a Pandemic. © 2021 Acoustical Society of America.

Effect Of 5G On IOT And Daily Life Application

As going to word using the 5G in some of the countries and many country are going to move to use this technology we want to know what this technology will give to the users and what will be the states of user experience while using this technology, during the last two years we have seen completely shift in education, work, shopping, gaming, streaming, meeting and many other activates it all shift into an online mode due to the covid-19 pandemic and that but high data rate low latency internet in the top list of the user requirement list this two service is the promised things of 5G and what will be the change and the effect in our daily life application with this technology something like IOT will be the main thing to have in every home, Industry, school, Hospital, City, country. How could this technology improve the use and the processing of all these applications that what we are going to discuss in this paper. © 2022 IEEE.

Classification of Screenshot Image Captured in Online Meeting System

Owing to the spread of the COVID-19 virus, the online meeting system has become popular. From the security point of view, the protection against information leakage is important, as confidential documents are often displayed on a screen to share the information with all participants through the screen sharing function. Some participants may capture their screen to store the displayed documents in their local devices. In this study, we focus on the filtering process and lossy compression applied to the video delivered over an online meeting system, and investigate the identification of screenshot images using deep learning techniques to analyze the distortion caused by such operations. In our experimental results for Zoom applications, we can obtain more than 92.5% classification accuracy even if the captured image is intentionally edited to remove the traces of screen capture. © 2022, IFIP International Federation for Information Processing.

An analysis of preferences of convention attendees in the time of Covid-19 pandemic

This study is to clarify the current situation of convention business and analyze the preferences of convention attendees in the time of Covid-19 pandemic. To clarify the research objectives, this study employed the statistical data of questionnaire survey on the perceptions of convention attendees in the Japanese Society of Hot Spring Science, Japan. The questionnaire survey was conducted in November 2020. The survey instrument was divided into 4 parts: demographic information, reasons for participation, types of meeting, and priority of countermeasures against Covid-19. Even in the time of Covid-19, 60% of the respondents answered that they hope to participate in convention by onsite meeting because they are willing to meet other participants who can share their knowledge. On the other hand, there are advantages such as no transportation fees and infection prevention by holding convention in online. Moreover, online meetings give a new business opportunity for IT-related jobs. However, holding online meeting does not bring economic impact to local area in the perspective of tourism industry. Without economic impact to local area, local tourism industry starts to decline. It means loss of employment and cultural properties. During Covid-19 pandemic, online meetings can be considered as an option. However, after the Covid-19 pandemic gets resolved, onsite meeting or at least hybrid meetings will be recommended. © 2021 IEEE.

WiHead: WiFi-Based Head-Pose Estimation

Due to the impact of Covid-19, people have started to conduct online courses or meetings. However, this makes it difficult to communicate with each other effectively because of the lack of non-verbal communication. Although webcams are available for online courses, etc., people often do not want to turn them on for privacy reasons. Thus, there is a need to develop privacy preserving way to enable non-verbal communication in online learning and work environments. WiFi as a sensor can be used to detect non-verbal gestures such as head poses, and has been increasingly valued due to its advantages of avoiding the effects of light, non-line of sight monitoring, privacy protection, etc. In this paper, we proposed an approach, which uses WiFi CSI data to estimate head pose. Our approach not only use the amplitude and phase data of raw CSI data, but also use the information in frequency domain. Our experiment with proposed approach confirmed the feasibility of head pose estimation based on WiFi CSI data. This has important implications for device-free sensing detection. Especially in today’s world where web conferences and online courses are widely used, WiFi-based head recognition can give feedback to the other party while protecting privacy, which helps to improve the quality and comfort of communication. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.