Posts tagged: Flanders Make

Special Issue Published: HCI and Worker Well-being in Industry 5.0

journal, FAIR, wellbeing, worker, industry 5.0, HCI, Flanders Make

I’m excited to announce the publication of a special issue I co-edited titled “Human-Centered Approaches to Worker Well-being in the Age of Industry 5.0” in Frontiers. This collection of papers explores diverse aspects of worker well-being within the Industry 5.0 framework, focusing on both physical and cognitive well-being while respecting workers’ privacy.

Key Highlights:

  1. Industry 5.0 and Worker Well-being: The special issue examines how the Industry 5.0 paradigm complements technological advancements with an enhanced focus on human workers, addressing challenges in creating sustainable and healthy work environments.

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Papers accepted on Anthropomorphic UIs and Model Multiplicity

paper, FAIR, modelmultiplicity, AUI, Flanders Make

Model Multiplicity in Interactive Software Systems

We got a workshop paper accepted, presenting the initial work of Gilles Eerlings et al. We explore how model multiplicity can be a potential answer to reduce overtrust in AI, as well as avoid undertrust. Still a lot of work that lies ahead, but this seems like a promising direction.

Citation

@inproceedings{luyteneerlings-modelmultiplicity2024,
  author = {Kris Luyten and Gilles Eerlings and Jori Liesenborgs and Gustavo {Rovelo Ruiz} and Sebe Vanbrabant and Davy Vanacken},
  title = {Opportunities and Challenges of Model Multiplicity in Interactive Software Systems},
  booktitle = {The Second Workshop on Engineering Interactive Systems Embedding AI Technologies},
  year = {2024}
}

Abstract

The proliferation of artificial intelligence (AI) in interactive systems has led to significant challenges in model integration, but also end-user-related aspects such as over- and undertrust. This paper explores how multiple AI models with the same performance and behavior but different internal workings—a phenomenon called model multiplicity—affect system integration and user interaction. We discuss the implications of model multiplicity for transparency, trust, and operational effectiveness in interactive software systems.

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