@article{1452926,
      recid = {1452926},
      author = {Schmidt, Steven.},
      title = {Assessing the quality of experience of cloud gaming  services /},
      publisher = {Springer,},
      address = {Cham :},
      pages = {1 online resource.},
      year = {2023},
      abstract = {This book provides an overview of concepts and challenges  in interaction quality in the domain of cloud gaming  services. The author presents a unified evaluation approach  by combining quantitative subjective assessment methods in  a concise way. The author discusses a measurement tool,  Gaming Input Quality Scale (GIPS), that assesses the  interaction quality of such a service available.  Furthermore, the author discusses a new framework to assess  gaming Quality of Experience (QoE) using a crowdsourcing  approach. Lastly, based on a large dataset including  dominant network and encoding conditions, the evaluation  method is investigated using structural equation modeling.  The conveyed understanding of gaming QoE, empirical  findings, and models presented in this book should be of  particular interest to researchers working in the fields of  quality and usability engineering, as well as service  providers and network operators. Presents an empirical  validation of a taxonomy of quality aspects of cloud gaming  services as well as applied assessment methods; Includes a  new framework to conduct quality assessment studies in home  environments; Describes a psychometrically validated, and  reliable instrument to measure the interaction quality.},
      url = {http://library.usi.edu/record/1452926},
      doi = {https://doi.org/10.1007/978-3-031-06011-3},
}