Classification of Health/Safety Issues/Concerns and Solutions Identified by Participatory Design Teams

2012 ◽  
Author(s):  
Scott Ryan ◽  
◽  
Megan Dove-Steinkamp ◽  
Suzanne Nobrega ◽  
Lize Tibirica ◽  
...  
Keyword(s):  
Participatory Design ◽  
Design Teams ◽  
Health Safety ◽  
Safety Issues

Managing User-Centered Design Activities in Distributed Agile Development

2021 ◽  
Author(s):  
Sultan Alyahya ◽  
Ohoud Almughram
Keyword(s):  
Participatory Design ◽  
Agile Development ◽  
Design Teams ◽  
User Centered Design ◽  
Management Tools ◽  
Daily Work ◽  
Development Teams ◽  
Design Activities ◽  
Computer Based ◽  
User Centered

Abstract The integration of user-centered design (UCD) activities into agile information systems development has become more popular recently. Despite the fact that there are many ways the merging of UCD activities into agile development can be carried out, it has been widely recognized that coordinating design activities with development activities is one of the most common problems, especially in distributed environments where designers, developers and users are spread over several sites. The main approach to coordinate UCD activities with distributed agile development is the use of informal methods (e.g. communication through using video conference tools). In addition to the temporal, geographical and socio-cultural barriers associated with this type of methods, a major limitation is a lack of awareness of how UCD activities and development activities affect each other. Furthermore, some agile project management tools are integrated with design platforms but fail to provide the necessary coordination that helps team members understand how the design and development activities affect their daily work. This research aims to support the effective management of integrating UCD activities into distributed agile development by (i) identifying the key activity dependencies between UX design teams and development teams during distributed UCD/agile development and (ii) designing a computer-based system to provide coordination support through managing these activity dependencies. In order to achieve these objectives, two case studies are carried out. Our findings revealed 10 main dependencies between UCD design teams and development teams as shown by six types of activity. In addition, the participatory design approach shows that developing a computer-based system to manage seven of these selected dependencies is achievable.

scholarly journals Investigating the Relationships between Safety Climate and Safety Performance Indicators in Retrofitting Works

2018 ◽  
Vol 18 (2) ◽  
pp. 110-129 ◽  
Author(s):  
Evan Alaa Nadhim ◽  
Carol K.H. Hon ◽  
Bo Xia ◽  
Ian Stewart ◽  
Dongping Fang
Keyword(s):  
Construction Industry ◽  
Latent Variables ◽  
Positive Relationship ◽  
Safety Climate ◽  
Structural Model ◽  
Safety Performance ◽  
Safety Issues ◽  
Effective Role ◽  
The Relationship

Retrofitting works has become increasingly important in the construction industry, as it plays an effective role in providing solutions to maintain, upgrade or change the functions to the existing or aged buildings. Very often, safety issues of retrofitting works are underestimated because there may be unreported accidents in small projects and there is no separate classification of accident statistics for the retrofitting works within the construction industry. As safety climate is widely regarded as a contributing factor to safety performance, the aim of this research was to examine the relationship between safety climate and safety performance in retrofitting works context. The safety climate questionnaire NOSACQ-50 has been employed to measure safety climate in retrofitting works. Field patrols were undertaken to distribute the safety questionnaires to the local worksites that undertake retrofits in Brisbane, Queensland, Australia. 264 valid questionnaires were collected. SEM was employed to examine the existence and strength of the relationship between safety climate and safety performance. PLS-SEM was utilised to estimate the parameters of the structural model. The model has exposed a positive relationship between safety climate and safety performance in retrofitting context. This research was the first to examine the relationship between the second order latent variables. A positive relationship (0.60 with 36 percent of explained variance) was found between safety climate and safety performance.

scholarly journals Utilizing machine learning-based approaches for the detection and classification of human papillomavirus (HPV) vaccine misinformation: Infodemiology Study of Reddit Discussions (Preprint)

2020 ◽  
Author(s):  
Jingcheng Du ◽  
Sharice Preston ◽  
Hanxiao Sun ◽  
Ross Shegog ◽  
Rachel Cunningham ◽  
...  
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Social Media ◽  
Human Papillomavirus ◽  
Convolutional Neural Network ◽  
Hpv Vaccine ◽  
Support Vector ◽  
Safety Issues ◽  
Vaccine Promotion

BACKGROUND The rapid growth of social media as an information channel has made it possible to quickly spread inaccurate or false vaccine information and thus create obstacles for vaccine promotion. OBJECTIVE To develop and evaluate an intelligent automated protocol to identify and classify HPV vaccine misinformation on social media, using machine learning (ML)-based methods. METHODS Reddit posts (2007-2017, n=28,121) were compiled that contained human papillomavirus (HPV) vaccine related keywords. A random subset (n=2200) was manually labeled for misinformation, serving as a gold standard corpus for evaluation. Five ML-based algorithms, including support vector machines (SVM), logistics regression (LR), extremely randomized trees (ET), convolutional neural network (CNN) and recurrent neural network (RNN), designed to identify vaccine misinformation, were evaluated for identification performance. Topic modeling was applied to identify the major categories associated with HPV vaccine misinformation. RESULTS A convolutional neural network model achieved the highest AUC at 0.7943. Of 28,121 Reddit posts, 7,207 (25.63%) were classified as vaccine misinformation with discussions about general safety issues identified as the leading type misinformed posts (37%). CONCLUSIONS ML-based approaches are effective in the identification and classification of HPV vaccine misinformation from Reddit and may be generalizable to other social media platforms. ML -based methods may provide the capacity and utility to meet the challenge for intelligent automated monitoring and classification of public health misinformation in social media networks. The timely identification of vaccine misinformation online is a first step for misinformation correction and vaccine promotion. CLINICALTRIAL

scholarly journals Road safety inspection as a tool for road safety management – the polish experience

2017 ◽  
Vol 42 (1) ◽  
pp. 43-62
Author(s):  
Marcin Budzyński ◽  
Kazimierz Jamroz ◽  
Wojciech Kustra
Keyword(s):  
Road Safety ◽  
Safety Management ◽  
Technical Condition ◽  
Road Accident ◽  
Qualitative Assessment ◽  
Economic Losses ◽  
Safety Issues ◽  
The Road ◽  
On The Road

Abstract In Poland, road inspections were implemented in June 2014 on all national roads. Previous traffic surveys mainly looked at the technical condition of roads, signs and markings; other safety issues were overlooked. The main problem of the inspections is that the qualitative assessment is subjective which affects the classification of the sources of hazard on the road. The paper presents an analysis of the variability of the qualitative assessments of road defects when they are assessed by different teams of inspectors. On this basis, guidelines were developed for the classification of risks based on the relationship between sources of road hazard and the personal and economic losses involved in road accidents. These relationships are quantified using mathematical models to simulate the effect of hazard variability on the consequences of selected road accident causes on sections of the road network.

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