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What are the current trends in AI-based interventions for promoting employee well-being? 


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Current trends in AI-based interventions for promoting employee well-being are diverse and innovative, reflecting a growing recognition of the potential for technology to support health and productivity in the workplace. One notable trend is the use of social robots and AI agents to deliver personalized feedback and counseling, which has shown promise in improving employee productivity and mental well-being. Such interventions compare favorably to those led by human agents, particularly in fostering health behavior change and encouraging the adoption of healthier lifestyles . Moreover, the perception of AI as an opportunity for career advancement and workplace well-being is another trend, where AI opportunity perception positively correlates with well-being. Informal learning in the workplace mediated this relationship, highlighting the importance of skill acquisition in leveraging AI for employee benefit . The development of wellbeing AI for enhancing social interactions within groups also represents a significant trend. These AI-augmented agents aim to mediate social relationships, addressing the critical role of positive social connections in overall well-being . AI's role in managing individual stress during organizational transformations is increasingly acknowledged, with AI solutions proposed for monitoring health and well-being statistics, thereby reducing errors and enhancing safety and efficiency . Digital interventions, particularly those using AI to guide exercise routines, have been effective in reducing musculoskeletal symptoms, a common cause of presenteeism, thus supporting physical health and engagement at work . The relationship between AI, stress, and employee happiness is complex, with AI-induced stress potentially acting as a motivational factor rather than a concern, mediated by employee engagement . Appreciative inquiry (AI) into organizational well-being strategies emphasizes focusing on positive aspects of organizational life, promoting holistic programs for employee happiness and stress reduction . However, the emergence of affect recognition tools in workplace management raises concerns about the implications for employee privacy and autonomy, signaling a shift towards more invasive forms of managerial control . Finally, affective computing or Emotion AI is highlighted as a tool for fostering an emotionally healthy workplace, with a call for ethical and responsible implementation to support employee mental health . These trends collectively underscore a multifaceted approach to leveraging AI for enhancing employee well-being, balancing technological innovation with ethical considerations and human-centric practices.

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AI interventions focus on positive aspects of organizational life, promoting employee well-being through discover, dream, design, and destiny stages. The case study in a Mexican university exemplifies holistic well-being programs.
AI-based interventions for employee well-being involve emotional recognition tools like affective surveillance, monitoring engagement, productivity, and compliance, but raise concerns about privacy, bias, and discrimination in the workplace.
Affective computing technology, such as Emotion AI, is a current trend in AI interventions for fostering emotionally healthy workplaces by supporting employee mental health through ethical implementation.
Open accessJournal ArticleDOI
04 Nov 2022-Service Business
1 Citations
Not addressed in the paper.
AI-assisted health programs, like the one in the study, show promise in improving musculoskeletal symptoms in workers. Such interventions enhance employee well-being by addressing specific health issues effectively.
AI agents play a crucial role in enhancing social interactions for employee well-being. The relational approach with AI aids in fostering positive social relationships, contributing to overall well-being in organizations.
AI-based interventions, particularly using social robots, show promise in promoting employee well-being by enhancing productivity and mental health in the workplace, as demonstrated in the study.
AI-based interventions monitor employee health, enhance safety, and efficiency during organizational changes. Trends include AI supervising processes, computing health statistics, and minimizing errors for employee well-being.
AI opportunity perception positively correlates with workplace well-being (WWB) through informal learning in the workplace (ILW), moderated by unemployment risk perception (URP), guiding AI interventions to enhance employee well-being.

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