HAII5.0 2024
Embracing Human-Aware AI in Industry 2024

Table of Contents

• Preface
  Summary: There were 11 papers submitted to HAII5.0 workshop. Out of these, 9 papers were accepted for this volume as regular papers.

PAPERS

• Augmenting Train Maintenance Technicians with Automated Incident Diagnostic Suggestions
  Georges Tod , Jean Bruggeman , Evert Bevernage , Pieter Moelans , Walter Eeckhout , Jean-Luc Glineur

• Evaluating Multi-task Curriculum Learning for Forecasting Energy Consumption in Electric Heavy-duty Vehicles
  Yuantao Fan , Zhenkan Wang , Sepideh Pashami , Sławomir Nowaczyk

• eXplainable Random Forest
  Shlomit Gur , Guy Amit

• Human-Aware Design for Transferring Knowledge During Human-AI Co-Learning
  Dimitrios Koutrintzes , Christos Spatharis , Maria Dagioglou

• Invariant Feature Selection for Battery State of Health Estimation in Heterogeneous Hybrid Electric Bus Fleets
  Yuantao Fan , Mohammed Ghaith Altarabichi , Sepideh Pashami , Peyman Mashhadi , Sławomir Nowaczyk

• LanViKD: Cross-Modal Language-Vision Knowledge Distillation for Egocentric Action Recognition
  Yizheng Sun , Hao Li , Chenghua Lin , Riza Batista-Navarro

• SHAP-Driven Explainability in Survival Analysis for Predictive Maintenance Applications
  Monireh Kargar , Zahra Kharazian , Ioanna Miliou , Tony Lindgren

• Towards Differentiating Between Failures and Domain Shifts in Industrial Data Streams
  Natalia Wojak-Strzelecka , Szymon Bobek , Grzegorz Nalepa , Jerzy Stefanowski

• Understanding the Impact of Unexpected Cobot Movements on Human Stress Levels: A Time Series Classification Task
  Lior Shilon , Vladyslav Shevtsov , Nadia Schillreff , Anne Rother , Shlomo Mark , Myra Spiliopoulou