@article{1453170,
      recid = {1453170},
      author = {Duffy, Vincent G., and Landry, Steven J., and Lee, John  D., and Stanton, Neville A.},
      title = {Human-automation interaction : transportation /},
      publisher = {Springer,},
      address = {Cham, Switzerland :},
      pages = {1 online resource.},
      year = {2023},
      note = {Includes index.},
      abstract = {This book provides practical guidance and awareness for a  growing body of knowledge developing across a variety of  disciplines. This initiative is a celebration of the  Gavriel Salvendy International Symposium (GSIS) and  provides a survey of topics and emerging areas of interest  in humanautomation interaction. This set of articles for  the GSIS emphasizes a main thematic area: transportation.  Main areas of coverage include Section A: Interaction with  Vehicle Automation; Section B: HCI in Automated Vehicles;  Section C: Trust in Vehicle Automation; Section D: Physical  Modeling of Vehicle Cabs; Section E: Task Simulation  Automation via Digital Human Models; Section F: Maintenance  and Manufacturing; Section G: Smart Cities and Connected  Vehicles. Contributions from especially early career  researchers were featured as part of this (virtual)  symposium and celebration. Gavriel Salvendy initiated the  conferences that run annually as HumanComputer Interaction  within LNCS of Springer and Applied Human Factors and  Ergonomics International (AHFE). The book is inclusive of  humancomputer interaction and human factors and ergonomics  principles, yet it is intended to serve a much wider  audience that has interest in automation and human  modeling. The emerging need for humanautomation interaction  expertise has developed from an ever-growing availability  and presence of automation in our everyday lives. This  initiative is intended to provide practical guidance and  awareness for a growing body of knowledge developing across  a variety of disciplines and many countries.},
      url = {http://library.usi.edu/record/1453170},
      doi = {https://doi.org/10.1007/978-3-031-10784-9},
}