About this Research Topic
The field of human-technology interactions in today's workplaces has undergone significant transformation with the advent of Industry 4.0 and the ongoing shift towards Industry 5.0. Industry 5.0 emphasizes human-centric automation and sustainability, intertwining human well-being with technological advancements and environmental consciousness. This evolution has reshaped how professionals perceive their roles, decision-making power, and identity within the workplace, impacting their well-being and performance. Despite the growing relevance of human-technology interactions in organizational literature, several questions remain unanswered. Current studies have explored various aspects, such as the effectiveness of human-AI teams and the influence of sustainability on AI development. However, there is a need for more comprehensive research to address the gaps in understanding the affective, behavioral, and cognitive consequences of these interactions at individual, team, and organizational levels.
This research topic aims to investigate how human-technology interactions are formed and emerge through individuals' sense-making and sense-breaking processes. It seeks to explore the numerous affective, behavioral, and cognitive consequences of these interactions at various organizational levels. Additionally, the research aims to understand how sustainability principles integrate into these dynamics, influencing the creation of environmentally responsible and socially aware organizational practices and technologies. Key questions include the adaptation to digital transformation, the functioning of human-AI teams, the impact of sustainability on AI solutions, and the perception of AI in professional settings. The research also aims to explore the implications of Industry 5.0 for upskilling and reskilling initiatives and the evolution of behavioral adaptations and safety considerations in advanced human-technology collaborations.
To gather further insights into the challenges and opportunities of human-technology interactions in today's workplaces, we welcome articles addressing, but not limited to, the following themes:
- Perception of AI/machine learning/technology in professional and occupational settings and its consequences on well-being, job flourishing, and thriving.
- Emotional, psychological, motivational, and behavioral processes related to human-technology interactions in Industry 4.0 and Industry 5.0.
- Prediction of human intent, organization, and management of human-technology collaboration.
- Ethical considerations, human values, and social impact in AI and automation within Industry 5.0 frameworks.
- Sustainable and environmental practices in human-technology interactions of Industry 5.0 innovations.
- Adaptive performance, strategies, and digital implementation/transformation to Industry 5.0-based work environments.
This Research Topic welcomes qualitative and quantitative empirical studies, systematic literature reviews, and meta-analyses. Longitudinal, experimental, and quasi-experimental studies are particularly encouraged, while cross-sectional studies are also welcome when common method biases are well addressed.
This research topic aims to investigate how human-technology interactions are formed and emerge through individuals' sense-making and sense-breaking processes. It seeks to explore the numerous affective, behavioral, and cognitive consequences of these interactions at various organizational levels. Additionally, the research aims to understand how sustainability principles integrate into these dynamics, influencing the creation of environmentally responsible and socially aware organizational practices and technologies. Key questions include the adaptation to digital transformation, the functioning of human-AI teams, the impact of sustainability on AI solutions, and the perception of AI in professional settings. The research also aims to explore the implications of Industry 5.0 for upskilling and reskilling initiatives and the evolution of behavioral adaptations and safety considerations in advanced human-technology collaborations.
To gather further insights into the challenges and opportunities of human-technology interactions in today's workplaces, we welcome articles addressing, but not limited to, the following themes:
- Perception of AI/machine learning/technology in professional and occupational settings and its consequences on well-being, job flourishing, and thriving.
- Emotional, psychological, motivational, and behavioral processes related to human-technology interactions in Industry 4.0 and Industry 5.0.
- Prediction of human intent, organization, and management of human-technology collaboration.
- Ethical considerations, human values, and social impact in AI and automation within Industry 5.0 frameworks.
- Sustainable and environmental practices in human-technology interactions of Industry 5.0 innovations.
- Adaptive performance, strategies, and digital implementation/transformation to Industry 5.0-based work environments.
This Research Topic welcomes qualitative and quantitative empirical studies, systematic literature reviews, and meta-analyses. Longitudinal, experimental, and quasi-experimental studies are particularly encouraged, while cross-sectional studies are also welcome when common method biases are well addressed.
Keywords: Human-technology Interaction, Digital (Organizational) Transformation, Industry 4.0 and 5.0, Sustainability, Ethics
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
