Human Wellbeing
Research on human wellbeing increasingly leverages technological advancements to understand and improve various aspects of human experience. Current efforts focus on using AI, including large language models and machine learning algorithms, to analyze behavioral data (e.g., from wearables, social media, and video) and develop interventions such as personalized journaling prompts, robotic interaction, and adaptive workspaces. This interdisciplinary field holds significant promise for enhancing mental health, promoting positive psychology principles, and improving the design of environments and technologies to better support human flourishing across diverse populations and contexts.
Papers
The Acquisition of Physical Knowledge in Generative Neural Networks
Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz
Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities
Zhengliang Liu, Yiwei Li, Qian Cao, Junwen Chen, Tianze Yang, Zihao Wu, John Hale, John Gibbs, Khaled Rasheed, Ninghao Liu, Gengchen Mai, Tianming Liu
Positive AI: Key Challenges in Designing Artificial Intelligence for Wellbeing
Willem van der Maden, Derek Lomas, Malak Sadek, Paul Hekkert
How Can Bar Robots Enhance the Well-being of Guests?
Oliver Bendel, Lea K. Peier
Increasing Well-being through Robotic Hugs
Oliver Bendel, Andrea Puljic, Robin Heiz, Furkan Tömen, Ivan De Paola