Objective
Work-related stress is costing the UK economy about 10 million man-hours and €16 billion. An intervention to curb the advent of stress is proposed: ‘Stress-Blocker’ (Streblo). Cognitive psychology identifies five main personalities (Big-5): extraversion, agreeableness, conscientiousness, neuroticism and openness. How these Big-5 differ in the dynamics of stress are unexplored, particularly in the field of construction where stress is also prevalent. Behavioural science explains differences in the coping abilities of people. Thus Part A of the study is an empirical investigation of the impacts of stressors on the Big-5 and their different coping behaviours. Data from at least 1500 UK construction personnel will be collected using a questionnaire, and analysed using multiple inferential statistical techniques: hierarchical regression, factor analysis and sequential equation modelling. The findings will then inform Part B: the development of Streblo, a cloud-based IT tool for the effective recognition and deterrence of stress. Streblo will operate on artificial intelligence and its initial simulation will be carried out using of the WEKA software. Data from 1200 respondents will be used to train Streblo while the remaining 300 pseudo responses will be used to pilot (validate) the performance of the product. Streblo will also be validated with the partner organisations and project managers, through focus group meetings which will be recorded, transcribed and analysed using the ‘Nvivo’ software. Streblo will then be launched as a simple, quick-to-use and free IT app which will be accessible on mobile devices, PCs and laptops. Streblo will exploit advanced technologies to prevent stress in different construction job profiles as well as other sectors of the economy. It will be the first worldwide integrated system that is based on personality profiling and associated coping skills to empower individuals to manage event-related stress in the context of their job roles.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences artificial intelligence
- natural sciences computer and information sciences software
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications mobile phones
- social sciences psychology cognitive psychology
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2015
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
WV1 1LY Wolverhampton
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.