Robotics & Machine Learning Daily News2024,Issue(Jun.5) :7-7.

New Findings from South China University of Technology in Artificial Intelligenc e Provides New Insights (Saving Face: Leveraging Artificial Intelligence-based N egative Feedback To Enhance Employee Job Performance)

华南理工大学在人工智能方面的新发现提供了新的见解(保全面子:利用基于人工智能的负反馈来提高员工的工作表现)

Robotics & Machine Learning Daily News2024,Issue(Jun.5) :7-7.

New Findings from South China University of Technology in Artificial Intelligenc e Provides New Insights (Saving Face: Leveraging Artificial Intelligence-based N egative Feedback To Enhance Employee Job Performance)

华南理工大学在人工智能方面的新发现提供了新的见解(保全面子:利用基于人工智能的负反馈来提高员工的工作表现)

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摘要

由一名新闻记者兼机器人与机器学习每日新闻编辑每日新闻-关于人工智能ce的详细数据已经呈现。根据NewsRx记者在中华民国广州的新闻报道,研究表明:“负面的绩效反馈对于激励员工提高绩效至关重要,尽管会带来压力和不利的工作结果。幸运的是,启用人工智能(AI)的自动化代理已经逐渐承担了由人类领导人领导的某些职能,比如提供反馈。”这项研究的财政支持来自2023年中央大学基础研究业务费项目跨学科青年团队项目。新闻记者从华南理工大学的研究中获得了一句话:“从监管焦点理论出发,我们提出基于人工智能的反馈系统可以作为一种‘补救’工具,有效地减轻员工对收到负面反馈的担忧。在两项研究中,我们发现对于害怕丢脸的员工,基于人工智能的负反馈动机ES以晋升为重点的认知学习动机代表了促进工作绩效的学习机制,并阻碍了他们以预防为重点的认知-个人反思-减少工作绩效所需的消耗。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Artificial Intelligen ce have been presented. According to news reporting originating in Guangzhou, Pe ople’s Republic of China, by NewsRx journalists, research stated, “Negative perf ormance feedback is vital for stimulating employees to enhance their performance despite resulting in stress and adverse work outcomes. Fortunately, artificial intelligence (AI)-enabled automated agents have gradually assumed certain functi ons led by human leaders, such as providing feedback.” Financial support for this research came from The 2023 Central University Basic Research Business Fee Project Interdisciplinary Youth Team Project. The news reporters obtained a quote from the research from the South China Unive rsity of Technology, “Drawing from regulatory focus theory, we propose that AI-b ased feedback systems can serve as a ‘remediation’ tool, effectively mitigating employees’ apprehensions about receiving negative feedback. In two studies, we f ound that for employees who fear losing face, AI-based negative feedback motivat es promotion-focused cognition-motivation to learn-representing a learning mecha nism to promote job performance and impedes their prevention-focused cognition-i nterpersonal rumination-reducing the depletion needed for job performance.”

Key words

Guangzhou/People’s Republic of China/A sia/Artificial Intelligence/Emerging Technologies/Machine Learning/South Chi na University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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