Quality of Life in Contemporary Society: Social Dimensions in the Context of Digitalization and Artificial Intelligence
Abstract
The main objectives of the article are to trace different approaches to the study of quality of life and to analyze its essential objective and subjective characteristics. Conceptually, quality of life is defined as a set of conditions and opportunities provided by the environment and institutions for the material, social, and mental well-being of individuals and communities. Emphasis is on living standards and material well-being, with digitalization and AI contributing significantly to improvements in the material environment and access to public resources. Artificial intelligence and digital technologies can also enhance feelings of autonomy, control, and satisfaction, as well as facilitate access to information
Keywords: Digitalization, Artificial Intelligence, Quality Of Life, Well-being
DOI: 10.54941/ahfe1007457
Cite this paper
More from this volume
- Artificial intelligence uses and loneliness: Examining the relationship between artificial intelligence usage patterns, need to belong and loneliness
- Trust in AI in commercial aviation maintenance: Gaining efficiencies while enhancing safety
- From Outcomes to Experience: Designing AI to Support Agency, Collaboration, and Calibrated Trust in Creative Work
- Human–AI Collaboration in Automated X-Ray Screening: Effects of Alarm Types and Reliability Levels on Operator Performance in Subway Security
- Skill Development, Maintenance, Erosion, and Revaluation: How Knowledge Workers Experience Generative AI
- AI-empowered Design of Museum Cultural and Creative Products: Consumer Perception of Creativity and Its Impact on Consumption Decision-making
- From Result Imitation to Cultural Translation: An Intelligent Generation Approach for Dong Brocade Patterns Based on Patternology
- National Systematization for Voluntary Local Reports (VLR) of the 2030 Agenda; Municipalities of Mexico
- AIGC as the Third Space for Cultural Innovation Design


AHFE Open Access