Navigating the Serious Game Design Landscape: A Comprehensive Reference Document
<|reference_start|>Navigating the Serious Game Design Landscape: A Comprehensive Reference Document: Within the evolving field of digital intervention, serious games emerge as promising tools for evidence-based interventions. Research indicates that gamified therapy, whether employed independently or in conjunction with online psychoeducation or traditional programs, proves more efficacious in delivering care to patients. As we navigate the intricate realm of serious game design, bridging the gap between therapeutic approaches and creative design proves complex. Professionals in clinical and research roles demonstrate innovative thinking yet face challenges in executing engaging therapeutic serious games due to the lack of specialized design skills and knowledge. Thus, a larger question remains: How might we aid and educate professionals in clinical and research roles the importance of game design to support their innovative therapeutic approaches? This study examines potential solutions aimed at facilitating the integration of gamification design principles into clinical study protocols, a pivotal aspect for aligning therapeutic practices with captivating narratives in the pursuit of innovative interventions. We propose two solutions, a flow chart framework for serious games or a comprehensive reference document encompassing gamification design principles and guidelines for best design practices. Through an examination of literature reviews, it was observed that selected design decisions varied across studies. Thus, we propose that the second solution, a comprehensive reference design guide, is more versatile and adaptable.<|reference_end|>
@article{moon2024navigating,
    title={Navigating the Serious Game Design Landscape: A Comprehensive Reference
  Document},
    author={Julieana Moon and Naimul Khan},
    journal={arXiv preprint arXiv:2404.10649},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.10649},
    primaryClass={cs.HC}
}