English

Replicability and Transparency for the Creation of Public Human User Video Game Datasets

Human-Computer Interaction 2023-04-07 v1

Abstract

Replicability is absent in games research; a lack of transparency in protocol detail hinders scientific consensus and willingness to publish public datasets, impacting the application of these techniques in video games research. To combat this, we propose and give an example of the use of a set of experimental considerations, such as games and materials choice. This work promotes the communication of research protocols when publishing datasets, benefiting researchers when designing experiments.

Keywords

Cite

@article{arxiv.2304.02861,
  title  = {Replicability and Transparency for the Creation of Public Human User Video Game Datasets},
  author = {Emma J. Pretty and Renan Guarese and Haytham M. Fayek and Fabio Zambetta},
  journal= {arXiv preprint arXiv:2304.02861},
  year   = {2023}
}

Comments

Accepted for submission at the Data4XR Workshop at IEEEVR2023