Academic Experiences of “Zoom-Fatigue” as a Virtual Streaming Phenomenon During the COVID-19 Pandemic

This phenomenological exploratory multiple-case study design was conducted at an open distance e-learning university and a traditional contact residential university and it was found that the participants viewed video conferencing under the COVID-19 lockdown period as an exhausting experience. A second major finding revealed that the participants were empowered with digital literacy skills to use video conferencing effectively. The current findings add to a growing body of literature on video conferencing with a focus on Zoom fatigue. Further research might explore the lived zoom experiences of administrators, students and a larger group of faculties over a longer period. The study findings must be considered when planning and implementing video conferencing for academics and students in open distance e-learning contexts. This study showed that video conferencing is one tool in the emergence of a digital zoom revolution that has radically changed the workspace. The evidence from this study suggests that zoom fatigue is a reality check for work-related health management.

Multi-interest Diversification for End-to-end Sequential Recommendation

Sequential recommenders capture dynamic aspects of users’ interests by modeling sequential behavior. Previous studies on sequential recommendations mostly aim to identify users’ main recent interests to optimize the recommendation accuracy; they often neglect the fact that users display multiple interests over extended periods of time, which could be used to improve the diversity of lists of recommended items. Existing work related to diversified recommendation typically assumes that users’ preferences are static and depend on post-processing the candidate list of recommended items. However, those conditions are not suitable when applied to sequential recommendations. We tackle sequential recommendation as a list generation process and propose a unified approach to take accuracy as well as diversity into consideration, called multi-interest, diversified, sequential recommendation . Particularly, an implicit interest mining module is first used to mine users’ multiple interests, which are reflected in users’ sequential behavior. Then an interest-aware, diversity promoting decoder is designed to produce recommendations that cover those interests. For training, we introduce an interest-aware, diversity promoting loss function that can supervise the model to learn to recommend accurate as well as diversified items. We conduct comprehensive experiments on four public datasets and the results show that our proposal outperforms state-of-the-art methods regarding diversity while producing comparable or better accuracy for sequential recommendation.

Gauging the impact of personal lifestyle, indoor environmental quality and work-related factors on occupant productivity when working from home

PurposePersonal lifestyle, work environments and work-related factors can significantly affect occupant productivity. Although many studies examine the affecting factors of occupant productivity in offices, explorations for the home-based work environment, which is designed mainly for living purposes, are still scarce. Moreover, current pandemic has made work from home a new normal for workers around the world. Therefore, it is important to identify key causal factors of occupant productivity when working from home.Design/methodology/approachThis study employed descriptive analysis and regression analysis method to explore the relationship among personal lifestyle, indoor environmental quality and work-related factors toward occupant productivity. A questionnaire including a comprehensive list of key measures was designed and 189 valid responses were collected from more than 13,000 participants.FindingsResults show that a healthy lifestyle, the perceived satisfaction of visual and acoustic environment, communication, interest in work, workload, flexible schedule and privacy positively affect occupant productivity when working from home, while coffee consumption, outside views and windows have negative effect.Originality/valueOpportunities to enhance occupants' home-based work productivity include developing a healthy lifestyle by taking advantage of flexible schedule, equipping a working room at home with advanced and intelligent environment control systems, and improving communication, workload and schedule by changing the policy of companies.

Relationships between Occupational Stress, Change in Work Environment during the COVID-19 Pandemic, and Depressive and Anxiety Symptoms among Non-Healthcare Workers in Japan: A Cross-Sectional Study

This study aims to clarify the effect of occupational stress and changes in the work environment on non-healthcare workers’ (HCWs) mental health during the third wave of the COVID-19 pandemic in Japan. A web-based, cross-sectional survey was conducted from 16 to 17 December 2020. Data from 807 non-HCWs were included. We evaluated occupational stress using the Generic Job Stress Questionnaire (GJSQ). Depressive and anxiety symptoms were assessed using the Japanese version of the Patient Health Questionnaire-9 and the Generalized Anxiety Disorder 7-item scale, respectively. We collected demographic variables, work-related variables, and the variables associated with COVID-19. The adjusted odds ratios for depressive and anxiety groups were estimated using multivariate logistic regression analyses, adjusted for all the demographic variables, work-related variables, COVID-19-related variables, and the six subdivided GJSQ subscales. The results confirm a relationship between variance in workload, job future ambiguity, social support from coworkers, having contact with COVID-19 patients, and depressive and anxiety symptoms. Paying attention to job future ambiguity, the variance in workload at the workplace and individual perspectives, promoting contact and support among coworkers using online communication tools, and reducing contact with COVID-19 patients, will be useful for decreasing the depressive and anxiety symptoms among non-HCWs.

Developing a Scale of Care Work-Related Quality of Life (CWRQoL) for Long-Term Care Workers in England

Background: Long-term care (LTC) workers are subjected to structural and inherent difficult conditions that are likely to impact their quality of life at work; however, no agreed scale measures it. This study aims to develop a scale to measure the work-related quality of life among LTC workers in England (CWRQoL). The study establishes the domains/sub-domains of CWRQoL, investigates the tool’s utility and collates information on existing supporting strategies for CWRQoL. Methods: We adopt a mixed-methods approach employing inductive/deductive processes at three stages: (1) a scoping review of the literature; (2) interviews and focus groups with frontline LTC workers, managers and LTC stakeholders; and (3) a content validity consensus survey. Results: CWRQoL is composed of seven domains (and 23 sub-domains). Additional domains to those in the literature include financial wellbeing, sufficient time for building relations, managing grief and emotions associated with client death and end of life care. Stakeholders identified several benefits and challenges related to the CWRQoL tool’s utility. COVID-19 significantly impacted LTC workers’ mental wellbeing and spillover between work and home. Conclusions: The study highlighted the complex nature of CWRQoL and provided a solid ground for developing and validating a CWRQoL scale.