personal productivity
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Buildings ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 30
Author(s):  
Anatolijs Borodinecs ◽  
Aleksandrs Geikins ◽  
Elina Barone ◽  
Vladislavs Jacnevs ◽  
Aleksejs Prozuments

The growing terrorism threats across the world play an important role in the design of civil buildings and living areas. The safety of personnel is a top priority in unclassified buildings, especially military buildings. However indoor air quality and thermal comfort has a direct impact on personal productivity and ability to concentrate on duties and affect the decision making in stress conditions. The use of wooden structures is becoming more common in the building construction, and application of wooden frame structures for the construction of new buildings as well as for retrofitting the existing buildings. Prefabricated wooded frame construction perfectly fits need of unclassified buildings, allowing significant reduction of construction time and integration of various active and passive elements, such as a fresh air supply duct. Within the scope of this paper a 12 mm thick ballistic panel made of aramid was tested. Ballistic panel, thermal conductivity, and fire resistance of wooded construction panel with embedded air duct were analyzed for the various modelled exterior wall solutions. The main advantage of the proposed technology is fast and qualitative modular construction of unclassified buildings, providing all modern requirements not only for safety, but also for the energy efficiency and indoor air quality. It was found that bullet proof aramid panels do not reduce overall fire safety in comparison to traditional construction materials. However embedded outdoor air supply ducts significantly reduces construction heat transfer coefficient.


Author(s):  
Sinh Huynh ◽  
Rajesh Krishna Balan ◽  
JeongGil Ko

Gaze tracking is a key building block used in many mobile applications including entertainment, personal productivity, accessibility, medical diagnosis, and visual attention monitoring. In this paper, we present iMon, an appearance-based gaze tracking system that is both designed for use on mobile phones and has significantly greater accuracy compared to prior state-of-the-art solutions. iMon achieves this by comprehensively considering the gaze estimation pipeline and then overcoming three different sources of errors. First, instead of assuming that the user's gaze is fixed to a single 2D coordinate, we construct each gaze label using a probabilistic 2D heatmap gaze representation input to overcome errors caused by microsaccade eye motions that cause the exact gaze point to be uncertain. Second, we design an image enhancement model to refine visual details and remove motion blur effects of input eye images. Finally, we apply a calibration scheme to correct for differences between the perceived and actual gaze points caused by individual Kappa angle differences. With all these improvements, iMon achieves a person-independent per-frame tracking error of 1.49 cm (on smartphones) and 1.94 cm (on tablets) when tested with the GazeCapture dataset and 2.01 cm with the TabletGaze dataset. This outperforms the previous state-of-the-art solutions by ~22% to 28%. By averaging multiple per-frame estimations that belong to the same fixation point and applying personal calibration, the tracking error is further reduced to 1.11 cm (smartphones) and 1.59 cm (tablets). Finally, we built implementations that run on an iPhone 12 Pro and show that our mobile implementation of iMon can run at up to 60 frames per second - thus making gaze-based control of applications possible.


2021 ◽  
Author(s):  
Michael Winikoff ◽  
Jocelyn Cranefield ◽  
Yevgeniya Li ◽  
Alexander Richter ◽  
Cathal Doyle

Modern digital work environments allow for great flexibility, but can also contribute to a blurring of work/life boundaries and technostress. An emerging class of intelligent tools, that we term Digital Productivity Assistant (DPA), helps knowledge workers to improve their productivity by creating awareness of their collaboration behaviour and by suggesting improvements. In this revelatory case study, we combine auto-ethnographic insights with interview data from three organisations to explore how one such tool works to influence collaboration and productivity management behaviours, using the lens of persuasive IS design. We also identify barriers to DPAs’ effective use as a partner in personal productivity management.


2021 ◽  
Author(s):  
Michael Winikoff ◽  
Jocelyn Cranefield ◽  
Yevgeniya Li ◽  
Alexander Richter ◽  
Cathal Doyle

Modern digital work environments allow for great flexibility, but can also contribute to a blurring of work/life boundaries and technostress. An emerging class of intelligent tools, that we term Digital Productivity Assistant (DPA), helps knowledge workers to improve their productivity by creating awareness of their collaboration behaviour and by suggesting improvements. In this revelatory case study, we combine auto-ethnographic insights with interview data from three organisations to explore how one such tool works to influence collaboration and productivity management behaviours, using the lens of persuasive IS design. We also identify barriers to DPAs’ effective use as a partner in personal productivity management.


Author(s):  
SHEKH ABDULLAH-AL-MUSA AHMED ◽  
NIK ZULKARNAEN BIN KHIDZIR ◽  
SHIRIN AFROZ

Global coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease was first identified in December 2019 in Wuhan, the capital of China’s Hubei Province, and has since spread globally, resulting in the ongoing 2019–2020 coronavirus pandemic that has an impact which would be disturbed the personal productivity in the community. The dependent variable which is threat of COVID-19 (Thr_Cov-19), vulnerability of COVID-19 (Vul_Cov-19), and the unexpected change in society factors and one independent variable that is personal disturbance factors is used in this paper. Moreover, using as an indicator which will determine disturbance of personal productivity (D_PP) in the society. Since multiple regression by partial least square-structural equation modeling is used to examined of data by following unstructured method. Moreover, the resulting point out three dependent variables significantly influences on the independent variable of personal productivity in the society. As a matter of fact, this study concludes the foremost influence factor on D_PP in society due to COVID-19 risk factors such as Thr_Cov-19, Vul_Cov-19, and unexpected changed in the society factors. This study contributes to introductory study but vibrant understanding in stimulating the prediction of personal productivity in the society due to the COVID-19 attacks.


Author(s):  
Bryon Patrick Balint

Since the advent of the consumer internet and later the smartphone, the lines between “work time” and “personal time” have eroded. Employees increasingly have access to technology that facilitates the performance of personal activities while in the workplace. This study examines changes in attitudes towards using technology for personal gain while at work. The study uses a longitudinal data set of survey data collected from 2013 to 2018. This paper finds that attitudes have become more permissive over time when it comes to using technology for personal productivity and for obtaining information not related to work. In contrast, this research also finds that attitudes towards using technology for relaxation and entertainment while at work have become less permissive.


2020 ◽  
Vol 24 (2) ◽  
pp. 1
Author(s):  
Iwona Burka

<p><strong>Purpose:</strong> The aim of this paper is to show whether and how Polish managers working in the Kaizen/Lean environment, benefit from the knowledge gained during their professional work to develop competences in their personal lives and improve personal productivity. Do they transfer the knowledge gained about lean systems into their private lives and what are the benefits for them?</p><p><strong>Methodology/Approach:</strong> To answer the research questions raised, the authoress conducted a literature review and a qualitative research – multiple-case studies. As part of the qualitative study, five in-depth interviews were made.</p><p><strong>Findings:</strong> The literature review and the qualitative research carried out allowed to formulate conclusions, including, i.a., the following: managers transform the knowledge acquired during the training conducted as part of their professional work into their private lives; it is possible to distinguish a number of principles and instruments of the studied concepts that are applied to support the process of developing personal professional and non-professional competences.</p><p><strong>Research Limitation/implication:</strong> Subjectivity of the analysis, owing to the application of a qualitative approach in the studies.</p><strong>Originality/Value of paper:</strong> The literature review points to a small number of scientific publications connected with the implementation of the Kaizen approach and Lean Management principles and instruments in the process of developing personal competences and improving personal productivity. This publication is the first approach to creating a Personal Kaizen Toolbox.


Author(s):  
Soban Ahmed Khan ◽  
Asma Ahmad Farhan ◽  
Labiba Gillani Fahad ◽  
Syed Fahad Tahir

2020 ◽  
Vol 53 (2) ◽  
pp. 73-80
Author(s):  
Elisa Almeida Sathler Bretas ◽  
Ruy Moraes Machado Guimarães ◽  
André Yui Aihara ◽  
Hilton Muniz Leão Filho ◽  
Rubens Chojniak ◽  
...  

Abstract Objective: To determine the average productivity of radiologists, as measured by number of reports issued per 6-h shift, evaluating variables that could affect the results. Materials and Methods: This was a study utilizing an online questionnaire sent to radiologists affiliated with the Brazilian College of Radiology and Diagnostic Imaging. The questions were related to the demographic profile and professional practice characteristics (form of remuneration, primary imaging method employed, and subspecialty) of the radiologists, as well as their individual productivity (average personal productivity) and the productivity considered reasonable in a 6-h shift. The association between productivity and the practice characteristics of the radiologists was determined by using Poisson regression to calculate the prevalence ratio. Results: A total of 510 radiologists completed the questionnaire. The great majority of the respondents (84%) reported that their remuneration is directly related to their productivity. The productivity varied according to the subspecialty, work environment, and remuneration model. Conclusion: We demonstrated that the productivity of radiologists is associated with the characteristics of their employment. We hope that this study will encourage other studies aimed at evaluating the productive capacity of the radiologists in Brazil, addressing the various functions they perform in their daily routine, including activities other than issuing reports.


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