AI for qualitative and quantitative characterisation and profiling of individual and community mental wellbeing
AI for qualitative and quantitative characterisation and profiling of individual and community mental wellbeing
批准号:
10076660
负责人:
金额:
$6.23万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
已结题
起止时间:
2023 至 --
中文摘要
Integrity Media是一家创意艺术公司,通过结构化的创意写作课程为组织(公司、大学和学校)提供心理健康支持服务。通过支持个人社区撰写他们的挑战和输出,审查和分析社区的心理健康和文化,并对现有的员工援助计划(EAP)提出改进建议,或增加定制工具和/或培训/教育活动,以改善员工的健康。典型的B2B客户参与可能导致提交多达100个短篇故事(大约500,000字),其中包括分析大约需要6个人周才能完成并交付最终的摘要报告。保守地说,一个项目领导每年可以管理6个任务,但是在这样一个紧张和重复的过程中,可能会出现人为分析错误的风险越来越大。人工智能的使用为简化这一过程提供了一条途径,降低了成本(使其更实惠),减少了错误,并增加/加速了公司服务主张的可扩展性。这个可行性级别的项目旨在提供一个概念验证(PoC)人工智能系统,可以加速审查和报告过程,从而提高我们员工的生产力。该系统还将被设计为减轻潜在的错误或不准确的解释,以增加我们的产品的稳健性。
英文摘要
Integrity Media is a creative arts company that through a structured creative writing course provides mental wellbeing support services to organisations (companies, Universities and schools). By supporting communities of individuals to write about their challenges and with that output, reviewing and profiling the mental wellbeing and culture of the community, and making recommendations for improvement to the available Employee Assistance Programmes (EAP) or addition of bespoke tools and/or training/education activities to improve employee wellbeing.A typical B2B client engagement can result in the submission of up 100 short stories (circa500,000 words), which including profiling takes approximately 6 person weeks to complete and deliver a final summary report. Conservatively, a project lead can manage 6 assignments per year, but with an increasing risk that human analytical errors may occur from such an intense and repetitive process. The use of AI provides a pathway to streamline this process, reducing costs (making it more affordable), reducing errors and increasing/accelerating scalability of the company's service proposition.This feasibility level project aims to deliver a proof of concept (PoC) AI system that can accelerate the review and report process, thereby increasing the productivity of our employees. The system will also be designed to mitigate the potential for errors or inaccuracies in interpretation, to increase the robustness of our offering.
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